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Hannes Toivanen

Personal Details

First Name:Hannes
Middle Name:
Last Name:Toivanen
Suffix:
RePEc Short-ID:pto182
[This author has chosen not to make the email address public]
http://www.vtt.fi

Affiliation

Valtion Teknillinen Tutkimuskeskus (VTT)

Espoo, Finland
http://www.vtt.fi/
RePEc:edi:vttesfi (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Ejermo, Olof & Toivanen, Hannes, 2018. "University invention and the abolishment of the professor’s privilege in Finland," Papers in Innovation Studies 2018/6, Lund University, CIRCLE - Centre for Innovation Research.
  2. Toivanen, Hannes, 2005. "Antitrust and the competitive structure of the U.S. pulp and paper industry, 1950-1990," MPRA Paper 17188, University Library of Munich, Germany.
  3. Toivanen, Hannes, 2004. "Learning and Corporate Strategy: The Dynamic Evolution of the North American Pulp and Paper Industry, 1860-1960," MPRA Paper 16415, University Library of Munich, Germany.

Articles

  1. Ejermo, Olof & Toivanen, Hannes, 2018. "University invention and the abolishment of the professor's privilege in Finland," Research Policy, Elsevier, vol. 47(4), pages 814-825.
  2. Toivanen, Hannes & Novotny, Michael, 2017. "The emergence of patent races in lignocellulosic biofuels, 2002–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 318-326.
  3. Suominen, Arho & Toivanen, Hannes & Seppänen, Marko, 2017. "Firms' knowledge profiles: Mapping patent data with unsupervised learning," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 131-142.
  4. Arho Suominen & Hannes Toivanen, 2016. "Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2464-2476, October.
  5. Hannes Toivanen & Arho Suominen, 2015. "Epistemic integration of the European Research Area: The shifting geography of the knowledge base of Finnish research, 1995–2010," Science and Public Policy, Oxford University Press, vol. 42(4), pages 549-566.
  6. Ponomariov, Branco & Toivanen, Hannes, 2014. "Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009," Research Policy, Elsevier, vol. 43(3), pages 588-596.
  7. Hannes Toivanen & Branco Ponomariov, 2011. "African regional innovation systems: bibliometric analysis of research collaboration patterns 2005–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 471-493, August.

Chapters

  1. Hannes Toivanen & Maria Barbosa Lima-Toivanen, 2009. "Learning, innovation and public policy: the emergence of the Brazilian pulp and paper industry," Chapters, in: Franco Malerba & Sunil Mani (ed.), Sectoral Systems of Innovation and Production in Developing Countries, chapter 4, Edward Elgar Publishing.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Ejermo, Olof & Toivanen, Hannes, 2018. "University invention and the abolishment of the professor’s privilege in Finland," Papers in Innovation Studies 2018/6, Lund University, CIRCLE - Centre for Innovation Research.

    Cited by:

    1. Catalina MARTINEZ & Valerio STERZI, 2019. "The impact of the abolishment of the professor’s privilege on European university-owned patents," Cahiers du GREThA (2007-2019) 2019-15, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    2. Suominen, Arho & Deschryvere, Matthias & Narayan, Rumy, 2023. "Uncovering value through exploration of barriers - A perspective on intellectual property rights in a national innovation system," Technovation, Elsevier, vol. 123(C).
    3. Suominen, Arho & Kauppinen, Henni & Hyytinen, Kirsi, 2021. "‘Gold’, ‘Ribbon’ or ‘Puzzle’: What motivates researchers to work in Research and Technology Organizations," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    4. van Burg, Elco & Du, Jingshu & Kers, Jannigje Gerdien, 2021. "When do academics patent outside their university? An in-depth case study," Technovation, Elsevier, vol. 107(C).
    5. Yang, Zhenbing & Chen, Zhuo & Shao, Shuai & Yang, Lili, 2022. "Can housing price regulation improve R&D performance in universities? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    6. Lei Ye & Gang Zeng & Xianzhong Cao, 2020. "Open innovation and innovative performance of universities: Evidence from China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1142-1157, September.
    7. Nicolas Carayol & Elodie Carpentier, 2022. "The spread of academic invention: a nationwide case study on French data (1995–2012)," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1395-1421, October.
    8. Lei Ye & Ting Zhang & Xianzhong Cao & Senlin Hu & Gang Zeng, 2024. "Mapping the landscape of university technology flows in China using patent assignment data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    9. Nicolas Carayol & Valerio Sterzi, 2021. "The transfer and value of academic inventions when the TTO is one option," Post-Print hal-03433308, HAL.
    10. Kwadwo Atta-Owusu & Rune Dahl Fitjar, 2022. "What motivates academics for external engagement? Exploring the effects of motivational drivers and organizational fairness [The Nature of Academic Entrepreneurship in the UK: Widening the Focus on," Science and Public Policy, Oxford University Press, vol. 49(2), pages 201-218.
    11. Shuo Xu & Ling Li & Xin An, 2023. "Do academic inventors have diverse interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1023-1053, February.
    12. Yang, Zhenbing & Chen, Zhuo & Shao, Shuai & Yang, Lili, 2022. "Unintended consequences of additional support on the publications of universities: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

  2. Toivanen, Hannes, 2004. "Learning and Corporate Strategy: The Dynamic Evolution of the North American Pulp and Paper Industry, 1860-1960," MPRA Paper 16415, University Library of Munich, Germany.

    Cited by:

    1. Toivanen, Hannes & Novotny, Michael, 2017. "The emergence of patent races in lignocellulosic biofuels, 2002–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 318-326.
    2. Joonas Jarvinen & Juha-Antti Lamberg & Johan-Peter Murmann & Jari Ojala, 2009. "Alternative Paths to Competitive Advantage: A Fuzzy-Set Analysis of the Origins of Large Firms," Industry and Innovation, Taylor & Francis Journals, vol. 16(6), pages 545-574.

Articles

  1. Ejermo, Olof & Toivanen, Hannes, 2018. "University invention and the abolishment of the professor's privilege in Finland," Research Policy, Elsevier, vol. 47(4), pages 814-825.
    See citations under working paper version above.
  2. Toivanen, Hannes & Novotny, Michael, 2017. "The emergence of patent races in lignocellulosic biofuels, 2002–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 318-326.

    Cited by:

    1. Zhao, Qiankun & Cai, Ximing & Mischo, William & Ma, Liyuan, 2020. "How do the research and public communities view biofuel development?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Hassan, Shady S. & Williams, Gwilym A. & Jaiswal, Amit K., 2019. "Moving towards the second generation of lignocellulosic biorefineries in the EU: Drivers, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 590-599.

  3. Suominen, Arho & Toivanen, Hannes & Seppänen, Marko, 2017. "Firms' knowledge profiles: Mapping patent data with unsupervised learning," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 131-142.

    Cited by:

    1. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    2. Huo, Da & Chaudhry, Hassan Rauf, 2021. "Using machine learning for evaluating global expansion location decisions: An analysis of Chinese manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    3. WATANABE Ichiro & SHIMIZU Hiroshi, 2024. "Mainstream Formation and Competitive Dynamics in the Computer Graphics Industry: Topic modeling analysis of US patents," Discussion papers 24018, Research Institute of Economy, Trade and Industry (RIETI).
    4. Choi, Seokkyu & Lee, Hyeonju & Park, Eunjeong & Choi, Sungchul, 2022. "Deep learning for patent landscaping using transformer and graph embedding," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Uijun Kwon & Youngjung Geum, 2020. "Identification of promising inventions considering the quality of knowledge accumulation: a machine learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1877-1897, December.
    7. Mehmet Güney Celbiş & Pui-Hang Wong & Karima Kourtit & Peter Nijkamp, 2021. "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    8. Righi, Riccardo & Samoili, Sofia & López Cobo, Montserrat & Vázquez-Prada Baillet, Miguel & Cardona, Melisande & De Prato, Giuditta, 2020. "The AI techno-economic complex System: Worldwide landscape, thematic subdomains and technological collaborations," Telecommunications Policy, Elsevier, vol. 44(6).
    9. Moehrle, Martin G. & Caferoglu, Hüseyin, 2019. "Technological speciation as a source for emerging technologies. Using semantic patent analysis for the case of camera technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 776-784.
    10. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    12. Donghyun Choi & Bomi Song, 2018. "Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    13. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    14. Sun, Bixuan & Kolesnikov, Sergey & Goldstein, Anna & Chan, Gabriel, 2021. "A dynamic approach for identifying technological breakthroughs with an application in solar photovoltaics," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    15. Huang, Hung-Chun & Su, Hsin-Ning, 2019. "The innovative fulcrums of technological interdisciplinarity: An analysis of technology fields in patents," Technovation, Elsevier, vol. 84, pages 59-70.
    16. Liu, Lanjian & Zhang, Tian & Avrin, Anne-Perrine & Wang, Xianwen, 2020. "Is China's industrial policy effective? An empirical study of the new energy vehicles industry," Technology in Society, Elsevier, vol. 63(C).
    17. Puccetti, Giovanni & Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2023. "Technology identification from patent texts: A novel named entity recognition method," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    18. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    19. Chung-Chu Chuang & Chung-Min Tsai & Hsiao-Chen Chang & Yi-Hsien Wang, 2021. "Applying Quantile Regression to Assess the Relationship between R&D, Technology Import and Patent Performance in Taiwan," JRFM, MDPI, vol. 14(8), pages 1-14, August.

  4. Arho Suominen & Hannes Toivanen, 2016. "Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2464-2476, October.

    Cited by:

    1. Tingcan Ma & Ruinan Li & Guiyan Ou & Mingliang Yue, 2018. "Topic based research competitiveness evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 789-803, November.
    2. Suominen, Arho & Toivanen, Hannes & Seppänen, Marko, 2017. "Firms' knowledge profiles: Mapping patent data with unsupervised learning," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 131-142.
    3. Keungoui Kim & Dieter F. Kogler & Sira Maliphol, 2024. "Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    4. Raf Guns & Linda Sīle & Joshua Eykens & Frederik T. Verleysen & Tim C. E. Engels, 2018. "A comparison of cognitive and organizational classification of publications in the social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1093-1111, August.
    5. Willcock, Simon & Martínez-López, Javier & Hooftman, Danny A.P. & Bagstad, Kenneth J. & Balbi, Stefano & Marzo, Alessia & Prato, Carlo & Sciandrello, Saverio & Signorello, Giovanni & Voigt, Brian & Vi, 2018. "Machine learning for ecosystem services," Ecosystem Services, Elsevier, vol. 33(PB), pages 165-174.
    6. Aznar-Sánchez, José A. & Piquer-Rodríguez, María & Velasco-Muñoz, Juan F. & Manzano-Agugliaro, Francisco, 2019. "Worldwide research trends on sustainable land use in agriculture," Land Use Policy, Elsevier, vol. 87(C).
    7. Kanyao Han & Rezvaneh Rezapour & Katia Nakamura & Dikshya Devkota & Daniel C. Miller & Jana Diesner, 2023. "An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 669-684, June.
    8. Luigi Di Caro & Marco Guerzoni & Massimiliano Nuccio & Giovanni Siragusa, 2017. "A Bimodal Network Approach to Model Topic Dynamics," Papers 1709.09373, arXiv.org.
    9. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Hansu Hwang & SeJin An & Eunchang Lee & Suhyeon Han & Cheon-hwan Lee, 2021. "Cross-Societal Analysis of Climate Change Awareness and Its Relation to SDG 13: A Knowledge Synthesis from Text Mining," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    11. Lara Fontanella & Berta Chulvi & Elisa Ignazzi & Annalina Sarra & Alice Tontodimamma, 2024. "How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    12. Diana Purwitasari & Chastine Fatichah & Surya Sumpeno & Christian Steglich & Mauridhi Hery Purnomo, 2020. "Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1407-1443, March.
    13. Zhang, Yi & Wu, Mengjia & Miao, Wen & Huang, Lu & Lu, Jie, 2021. "Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies," Journal of Informetrics, Elsevier, vol. 15(4).
    14. Alice Tontodimamma & Eugenia Nissi & Annalina Sarra & Lara Fontanella, 2021. "Thirty years of research into hate speech: topics of interest and their evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 157-179, January.
    15. Righi, Riccardo & Samoili, Sofia & López Cobo, Montserrat & Vázquez-Prada Baillet, Miguel & Cardona, Melisande & De Prato, Giuditta, 2020. "The AI techno-economic complex System: Worldwide landscape, thematic subdomains and technological collaborations," Telecommunications Policy, Elsevier, vol. 44(6).
    16. Samira Ranaei & Arho Suominen & Alan Porter & Stephen Carley, 2020. "Evaluating technological emergence using text analytics: two case technologies and three approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 215-247, January.
    17. Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics," Mathematics, MDPI, vol. 11(1), pages 1-33, December.
    18. Moehrle, Martin G. & Caferoglu, Hüseyin, 2019. "Technological speciation as a source for emerging technologies. Using semantic patent analysis for the case of camera technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 776-784.
    19. Peter Sjögårde & Per Ahlgren & Ludo Waltman, 2021. "Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 853-869, July.
    20. Zhang, Yi & Lu, Jie & Liu, Feng & Liu, Qian & Porter, Alan & Chen, Hongshu & Zhang, Guangquan, 2018. "Does deep learning help topic extraction? A kernel k-means clustering method with word embedding," Journal of Informetrics, Elsevier, vol. 12(4), pages 1099-1117.
    21. Doo-San Kim & Byeong-Cheol Lee & Kwang-Hi Park, 2021. "Determination of Motivating Factors of Urban Forest Visitors through Latent Dirichlet Allocation Topic Modeling," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    22. Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Marina Schoenemann & Belén López-Felices, 2022. "An Analysis of the Worldwide Research on the Socio-Cultural Valuation of Forest Ecosystem Services," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    23. Munan Li, 2018. "Classifying and ranking topic terms based on a novel approach: role differentiation of author keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 77-100, July.
    24. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
    25. José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & Belén López-Felices & Isabel M. Román-Sánchez, 2020. "An Analysis of Global Research Trends on Greenhouse Technology: Towards a Sustainable Agriculture," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
    26. Suominen, Arho & Peng, Haoshu & Ranaei, Samira, 2019. "Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 820-830.
    27. Li, Munan & Wang, Wenshu & Zhou, Keyu, 2021. "Exploring the technology emergence related to artificial intelligence: A perspective of coupling analyses," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    28. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    29. Arho Suominen & Ozgur Dedehayir, 2017. "Pathways To A Drug: A Mixed Methods Analysis Of Emergence," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-17, December.
    30. Manuel A. Vázquez & Jorge Pereira-Delgado & Jesús Cid-Sueiro & Jerónimo Arenas-García, 2022. "Validation of scientific topic models using graph analysis and corpus metadata," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5441-5458, September.
    31. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    32. Andrea Zielinski, 2022. "Impact of model settings on the text-based Rao diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7751-7768, December.

  5. Hannes Toivanen & Arho Suominen, 2015. "Epistemic integration of the European Research Area: The shifting geography of the knowledge base of Finnish research, 1995–2010," Science and Public Policy, Oxford University Press, vol. 42(4), pages 549-566.

    Cited by:

    1. Teemu Makkonen & Timo Mitze, 2016. "Scientific collaboration between ‘old’ and ‘new’ member states: Did joining the European Union make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1193-1215, March.

  6. Ponomariov, Branco & Toivanen, Hannes, 2014. "Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009," Research Policy, Elsevier, vol. 43(3), pages 588-596.

    Cited by:

    1. Cornelia Storz & Tobias ten Brink & Na Zou, 2022. "Innovation in emerging economies: How do university-industry linkages and public procurement matter for small businesses?," Asia Pacific Journal of Management, Springer, vol. 39(4), pages 1439-1480, December.
    2. Pattravadee Ploykitikoon & Charles M. Weber, 2019. "Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-37, May.
    3. Kibae Kim, 2015. "Evolution of the Global Knowledge Network: Network Analysis of Information and Communication Technologies’ Patents," TEMEP Discussion Papers 2015124, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2016.
    4. Hannes Toivanen & Arho Suominen, 2015. "The Global Inventor Gap: Distribution and Equality of World-Wide Inventive Effort, 1990–2010," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
    5. Scaringella, Laurent & Burtschell, François, 2017. "The challenges of radical innovation in Iran: Knowledge transfer and absorptive capacity highlights — Evidence from a joint venture in the construction sector," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 151-169.
    6. Thais Elaine Vick & Marcelo Seido Nagano, 2018. "Preconditions for Successful Knowledge Creation in the Context of Academic Innovation Projects," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-22, March.
    7. Colin C. J. Cheng, 2020. "Sustainability Orientation, Green Supplier Involvement, and Green Innovation Performance: Evidence from Diversifying Green Entrants," Journal of Business Ethics, Springer, vol. 161(2), pages 393-414, January.
    8. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    9. Vick, Thais Elaine & Nagano, Marcelo Seido & Popadiuk, Silvio, 2015. "Information culture and its influences in knowledge creation: Evidence from university teams engaged in collaborative innovation projects," International Journal of Information Management, Elsevier, vol. 35(3), pages 292-298.

  7. Hannes Toivanen & Branco Ponomariov, 2011. "African regional innovation systems: bibliometric analysis of research collaboration patterns 2005–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 471-493, August.

    Cited by:

    1. David Doloreux & Jose Gaviria de la Puerta & Iker Pastor-López & Igone Porto Gómez & Borja Sanz & Jon Mikel Zabala-Iturriagagoitia, 2019. "Territorial innovation models: to be or not to be, that’s the question," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1163-1191, September.
    2. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
    3. Dosso, Mafini & Cassi, Lorenzo & Mescheba, Wilfriedo, 2023. "Towards regional scientific integration in Africa? Evidence from co-publications," Research Policy, Elsevier, vol. 52(1).
    4. Ponomariov, Branco & Toivanen, Hannes, 2014. "Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009," Research Policy, Elsevier, vol. 43(3), pages 588-596.
    5. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    6. Li, Feng & Miao, Yajun & Yang, Chenchen, 2015. "How do alumni faculty behave in research collaboration? An analysis of Chang Jiang Scholars in China," Research Policy, Elsevier, vol. 44(2), pages 438-450.
    7. Frederick Owusu-Nimo & Nelius Boshoff, 2017. "Research collaboration in Ghana: patterns, motives and roles," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1099-1121, March.
    8. Hugo Confraria & Manuel Mira Godinho, 2015. "The impact of African science: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1241-1268, February.
    9. Guns, Raf & Wang, Lili, 2017. "Detecting the emergence of new scientific collaboration links in Africa: A comparison of expected and realized collaboration intensities," Journal of Informetrics, Elsevier, vol. 11(3), pages 892-903.
    10. Radhamany Sooryamoorthy, 2018. "The production of science in Africa: an analysis of publications in the science disciplines, 2000–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 317-349, April.
    11. Hird, Mackenzie D. & Pfotenhauer, Sebastian M., 2017. "How complex international partnerships shape domestic research clusters: Difference-in-difference network formation and research re-orientation in the MIT Portugal Program," Research Policy, Elsevier, vol. 46(3), pages 557-572.
    12. Nelson Casimiro Zavale & Patrício Vitorino Langa, 2018. "University-industry linkages’ literature on Sub-Saharan Africa: systematic literature review and bibliometric account," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 1-49, July.
    13. Menger Tu & Sandy Dall'erba & Mingque Ye, 2022. "Spatial and Temporal Evolution of the Chinese Artificial Intelligence Innovation Network," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    14. José M. Merigó & Christian A. Cancino & Freddy Coronado & David Urbano, 2016. "Academic research in innovation: a country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 559-593, August.
    15. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    16. Hamid Bouabid & Hind Achachi, 2022. "Size of science team at university and internal co-publications: science policy implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6993-7013, December.
    17. Eustache Mêgnigbêto, 2013. "International collaboration in scientific publishing: the case of West Africa (2001–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 761-783, September.
    18. Elizabeth S. Vieira & Jorge Cerdeira, 2022. "The integration of African countries in international research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1995-2021, April.
    19. Eustache Mêgnigbêto, 2013. "Scientific publishing in West Africa: comparing Benin with Ghana and Senegal," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1113-1139, June.
    20. Barry Bozeman & Daniel Fay & Catherine Slade, 2013. "Research collaboration in universities and academic entrepreneurship: the-state-of-the-art," The Journal of Technology Transfer, Springer, vol. 38(1), pages 1-67, February.
    21. Arho Suominen, 2014. "Phases of growth in a green tech research network: a bibliometric evaluation of fuel cell technology from 1991 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 51-72, July.

Chapters

  1. Hannes Toivanen & Maria Barbosa Lima-Toivanen, 2009. "Learning, innovation and public policy: the emergence of the Brazilian pulp and paper industry," Chapters, in: Franco Malerba & Sunil Mani (ed.), Sectoral Systems of Innovation and Production in Developing Countries, chapter 4, Edward Elgar Publishing.

    Cited by:

    1. Ponomariov, Branco & Toivanen, Hannes, 2014. "Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009," Research Policy, Elsevier, vol. 43(3), pages 588-596.
    2. Figueiredo, Paulo N., 2016. "Evolution of the short-fiber technological trajectory in Brazil's pulp and paper industry: The role of firm-level innovative capability-building and indigenous institutions," Forest Policy and Economics, Elsevier, vol. 64(C), pages 1-14.
    3. Figueiredo, Paulo N. & Cohen, Marcela, 2019. "Explaining early entry into path-creation technological catch-up in the forestry and pulp industry: Evidence from Brazil," Research Policy, Elsevier, vol. 48(7), pages 1694-1713.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CSE: Economics of Strategic Management (1) 2018-03-12
  2. NEP-EDU: Education (1) 2018-03-12
  3. NEP-EUR: Microeconomic European Issues (1) 2018-03-12
  4. NEP-INO: Innovation (1) 2018-03-12
  5. NEP-IPR: Intellectual Property Rights (1) 2018-03-12
  6. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2018-03-12
  7. NEP-TID: Technology and Industrial Dynamics (1) 2018-03-12

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