IDEAS home Printed from https://ideas.repec.org/r/spr/scient/v83y2010i1d10.1007_s11192-009-0051-9.html
   My bibliography  Save this item

Emerging research fronts in science and technology: patterns of new knowledge development

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Christian-Daniel Curiac & Alex Doboli & Daniel-Ioan Curiac, 2022. "Co-Occurrence-Based Double Thresholding Method for Research Topic Identification," Mathematics, MDPI, vol. 10(17), pages 1-10, August.
  2. Lu, Kun & Yang, Guancan & Wang, Xue, 2022. "Topics emerged in the biomedical field and their characteristics," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  3. Leonid Gokhberg & Konstantin Fursov & Ian Miles & Giulio Perani, 2013. "Developing and using indicators of emerging and enabling technologies," Chapters, in: Fred Gault (ed.), Handbook of Innovation Indicators and Measurement, chapter 15, pages 349-380, Edward Elgar Publishing.
  4. Leonidas Akritidis & Dimitrios Katsaros & Panayiotis Bozanis, 2012. "Identifying attractive research fields for new scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 869-894, June.
  5. Yuan Zhou & Heng Lin & Yufei Liu & Wei Ding, 2019. "A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 167-185, July.
  6. Nadezhda S. Mikova, 2016. "Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data," HSE Working papers WP BRP 65/STI/2016, National Research University Higher School of Economics.
  7. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
  8. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
  9. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  10. Worasak Klongthong & Veera Muangsin & Chupun Gowanit & Nongnuj Muangsin, 2021. "A Patent Analysis to Identify Emergent Topics and Convergence Fields: A Case Study of Chitosan," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
  11. Yan, Erjia & Ding, Ying & Milojević, Staša & Sugimoto, Cassidy R., 2012. "Topics in dynamic research communities: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 6(1), pages 140-153.
  12. Ryosuke L. Ohniwa & Aiko Hibino & Kunio Takeyasu, 2010. "Trends in research foci in life science fields over the last 30 years monitored by emerging topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 111-127, October.
  13. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
  14. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
  15. Ali Rhouma & Jerome El Jeitany & Rabi Mohtar & José Maria Gil, 2024. "Trends in the Water–Energy–Food Nexus Research," Sustainability, MDPI, vol. 16(3), pages 1-17, January.
  16. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
  17. Roger Fouquet, 2012. "Economics of Energy and Climate Change: Origins, Developments and Growth," Working Papers 2012-08, BC3.
  18. Yan, Erjia, 2014. "Research dynamics: Measuring the continuity and popularity of research topics," Journal of Informetrics, Elsevier, vol. 8(1), pages 98-110.
  19. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
  20. Nadezhda Mikova & Anna Sokolova, 2014. "Selection of information sources for identifying technology trends: A comparative analysis," HSE Working papers WP BRP 25/STI/2014, National Research University Higher School of Economics.
  21. Mu-Hsuan Huang & Chia-Pin Chang, 2014. "Detecting research fronts in OLED field using bibliographic coupling with sliding window," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1721-1744, March.
  22. Xiwen Liu & Xuezhao Wang & Lucheng Lyu & Yanpeng Wang, 2022. "Identifying disruptive technologies by integrating multi-source data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5325-5351, September.
  23. Mu-Hsuan Huang & Chia-Pin Chang, 2016. "A comparative study on three citation windows for detecting research fronts," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1835-1853, December.
  24. Joel O. Botai & Christina M. Botai & Katlego P. Ncongwane & Sylvester Mpandeli & Luxon Nhamo & Muthoni Masinde & Abiodun M. Adeola & Michael G. Mengistu & Henerica Tazvinga & Miriam D. Murambadoro & S, 2021. "A Review of the Water–Energy–Food Nexus Research in Africa," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
  25. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
  26. Louis Lu & Bruce Lin & John Liu & Chang-Yung Yu, 2012. "Ethics in Nanotechnology: What’s Being Done? What’s Missing?," Journal of Business Ethics, Springer, vol. 109(4), pages 583-598, September.
  27. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
  28. Oleg Ena & Nadezhda Mikova & Ozcan Saritas & Anna Sokolova, 2016. "A methodology for technology trend monitoring: the case of semantic technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1013-1041, September.
  29. R. Fileto Maciel & P. Saskia Bayerl & Marta Macedo Kerr Pinheiro, 2019. "Technical research innovations of the US national security system," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 539-565, August.
  30. Kiran Kaur & Kwan Hoong Ng & Ray Kemp & Yin Yee Ong & Zaharah Ramly & Ai Peng Koh, 2019. "Knowledge generation in the wake of the Fukushima Daiichi nuclear power plant disaster," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 149-169, April.
  31. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
  32. Serhat Burmaoglu & Olivier Sartenaer & Alan Porter & Munan Li, 2019. "Analysing the theoretical roots of technology emergence: an evolutionary perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 97-118, April.
  33. Duo Yang & Jincheng Zhou & Dingpu Shi & Qingna Pan & Dan Wang & Xiaohong Chen & Jiu Liu, 2022. "Research Status, Hotspots, and Evolutionary Trends of Global Digital Education via Knowledge Graph Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
  34. Keith D. Brouthers & Ram Mudambi & David M. Reeb, 2012. "The blockbuster hypothesis: influencing the boundaries of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 959-982, March.
  35. Michael Gowanlock & Rich Gazan, 2013. "Assessing researcher interdisciplinarity: a case study of the University of Hawaii NASA Astrobiology Institute," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 133-161, January.
  36. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
  37. Li, Menghui & Yang, Liying & Zhang, Huina & Shen, Zhesi & Wu, Chensheng & Wu, Jinshan, 2017. "Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists?," Journal of Informetrics, Elsevier, vol. 11(2), pages 598-607.
  38. Reindert K. Buter & Ed. C. M. Noyons & Anthony F. J. Raan, 2011. "Searching for converging research using field to field citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 325-338, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.