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Scientific novelty and technological impact

Citations

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Cited by:

  1. Quentin Plantec & Pascal Le Masson & Benoit Weil, 2020. "Impact of knowledge search practices on the originality of inventions: a study in the oil & gas industry," Post-Print hal-02613665, HAL.
  2. Ludovic Dibiaggio & Lionel Nesta & Simone Vannuccini, 2024. "European Sovereignty in Artificial Intelligence: A Competence-Based Perspective," Working Papers hal-04841182, HAL.
  3. Seokbeom Kwon & Jan Youtie & Alan Porter & Nils Newman, 2024. "How does regulatory uncertainty shape the innovation process? Evidence from the case of nanomedicine," The Journal of Technology Transfer, Springer, vol. 49(1), pages 262-302, February.
  4. Mohd Razip Bajuri & Suzieleez Syrene Abdul Rahim & Edy Hafizan Mohd Shahali & Siti Mistima Maat, 2021. "Influence of Spirituality in the Career and STEM-Based Research Approach of Scientists for Sustainable Development: A Study on the Perspective of Scientists from a Public Research University in Malays," Sustainability, MDPI, vol. 13(20), pages 1-24, October.
  5. Sotaro Shibayama & Deyun Yin & Kuniko Matsumoto, 2021. "Measuring novelty in science with word embedding," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  6. Quentin Plantec & Pascal Le Masson & Benoît Weil, 2022. "Mécanismes de découvertes – inventions dans la recherche industrielle : aux origines de CRISPR-Cas9 dans l’industrie agroalimentaire," Post-Print hal-03727323, HAL.
  7. Sam Arts & Nicola Melluso & Reinhilde Veugelers, 2023. "Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text," Papers 2309.16437, arXiv.org, revised Dec 2024.
  8. Chen, Xi & Mao, Jin & Ma, Yaxue & Li, Gang, 2024. "The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  9. Kwon, Seokbeom, 2022. "Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  10. Xuhua Hu & Bertha Ada Danso & Isaac Adjei Mensah & Michael Addai, 2020. "Does Innovation Type Influence Firm Performance? A Dilemma of Star-Rated Hotels in Ghana," Sustainability, MDPI, vol. 12(23), pages 1-27, November.
  11. Elena M. Tur & Evangelos Bourelos & Maureen McKelvey, 2022. "The case of sleeping beauties in nanotechnology: a study of potential breakthrough inventions in emerging technologies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 683-708, December.
  12. Plantec, Quentin & Cabanes, Benjamin & le Masson, Pascal & Weil, Benoit, 2023. "Early-career academic engagement in university–industry collaborative PhDs: Research orientation and project performance," Research Policy, Elsevier, vol. 52(9).
  13. Plantec, Quentin & Le Masson, Pascal & Weil, Benoît, 2021. "Impact of knowledge search practices on the originality of inventions: A study in the oil & gas industry through dynamic patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  14. Yuan Wu & Ziwei Li, 2024. "Digital transformation, entrepreneurship, and disruptive innovation: evidence of corporate digitalization in China from 2010 to 2021," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  15. Guoqiang Liang & Haiyan Hou & Qiao Chen & Zhigang Hu, 2020. "Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 219-232, July.
  16. René Belderbos & Nazareno Braito & Jian Wang, 2024. "Heterogeneous university research and firm R&D location decisions: research orientation, academic quality, and investment type," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1959-1989, October.
  17. Keye Wu & Ziyue Xie & Jia Tina Du, 2024. "Does science disrupt technology? Examining science intensity, novelty, and recency through patent-paper citations in the pharmaceutical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5469-5491, September.
  18. Chen, Xi & Mao, Jin & Li, Gang, 2024. "A co-citation approach to the analysis on the interaction between scientific and technological knowledge," Journal of Informetrics, Elsevier, vol. 18(3).
  19. Jeon, Daeseong & Lee, Junyoup & Ahn, Joon Mo & Lee, Changyong, 2023. "Measuring the novelty of scientific publications: A fastText and local outlier factor approach," Journal of Informetrics, Elsevier, vol. 17(4).
  20. Yuzhuo Wang & Chengzhi Zhang & Kai Li, 2022. "A review on method entities in the academic literature: extraction, evaluation, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2479-2520, May.
  21. Bastian Rake & Pablo D’Este & Maureen McKelvey, 2021. "Exploring network dynamics in science: the formation of ties to knowledge translators in clinical research," Journal of Evolutionary Economics, Springer, vol. 31(5), pages 1433-1464, November.
  22. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
  23. Plantec, Quentin & Deval, Marie-Alix & Hooge, Sophie & Weil, Benoit, 2023. "Big data as an exploration trigger or problem-solving patch: Design and integration of AI-embedded systems in the automotive industry," Technovation, Elsevier, vol. 124(C).
  24. Katrin Hussinger & Lorenzo Palladini, 2024. "Information accessibility and knowledge creation: the impact of Google’s withdrawal from China on scientific research," Industry and Innovation, Taylor & Francis Journals, vol. 31(6), pages 753-783, July.
  25. Steve J. Bickley & Ho Fai Chan & Sascha L. Schmidt & Benno Torgler, 2021. "Quantum-Sapiens: The Quantum Bases for Human Expertise, Knowledge, and Problem-Solving (Extended Version with Applications)," CREMA Working Paper Series 2021-14, Center for Research in Economics, Management and the Arts (CREMA).
  26. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
  27. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
  28. Zhentao Liang & Jin Mao & Gang Li, 2023. "Bias against scientific novelty: A prepublication perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 99-114, January.
  29. Magdalena Marczewska & Marzenna Anna Weresa & Marek Lachowicz, 2024. "Towards Creativity and Innovation in Universities: Study on Central and Eastern Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1363-1385, March.
  30. Zhaoping Yan & Kaiyu Fan, 2024. "An integrated indicator for evaluating scientific papers: considering academic impact and novelty," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6909-6929, November.
  31. Ashish Arora & Sharon Belenzon & Jungkyu Suh, 2022. "Science and the Market for Technology," Management Science, INFORMS, vol. 68(10), pages 7176-7201, October.
  32. Felix Poege & Dietmar Harhoff & Fabian Gaessler & Stefano Baruffaldi, 2019. "Science Quality and the Value of Inventions," Papers 1903.05020, arXiv.org, revised Apr 2019.
  33. Maureen McKelvey & Bastian Rake, 2020. "Exploring scientific publications by firms: what are the roles of academic and corporate partners for publications in high reputation or high impact journals?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1323-1360, March.
  34. Chen Zhu & Kazuyuki Motohashi, 2023. "Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3035-3065, May.
  35. 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).
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