IDEAS home Printed from https://ideas.repec.org/r/eee/respol/v49y2020i7s0048733320301414.html
   My bibliography  Save this item

New and atypical combinations: An assessment of novelty and interdisciplinarity

Citations

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


Cited by:

  1. 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.
  2. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
  3. Alison Specht & Kevin Crowston, 2022. "Interdisciplinary collaboration from diverse science teams can produce significant outcomes," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-25, November.
  4. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
  5. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
  6. Yi Zhao & Chengzhi Zhang, 2025. "A review on the novelty measurements of academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 727-753, February.
  7. Pierre Pelletier & Kevin Wirtz, 2023. "Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation," Papers 2312.10476, arXiv.org.
  8. Junping Qiu & Yunlong Yu & Shiji Chen & Teng Zhao & Shanshan Wang, 2024. "Effect of Scientific Collaboration on Interdisciplinarity in Climate Change From a Scientometric Perspective," SAGE Open, , vol. 14(2), pages 21582440241, April.
  9. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," Research Policy, Elsevier, vol. 52(10).
  10. 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.
  11. Gerson Pech & Catarina Delgado & Silvio Paolo Sorella, 2022. "Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1513-1528, November.
  12. Gabriele Di Bona & Alessandro Bellina & Giordano De Marzo & Angelo Petralia & Iacopo Iacopini & Vito Latora, 2025. "The dynamics of higher-order novelties," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  13. Guo, Liying & Wang, Yang & Li, Meiling, 2024. "Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund," Journal of Informetrics, Elsevier, vol. 18(2).
  14. Yue Wang & Ning Li & Bin Zhang & Qian Huang & Jian Wu & Yang Wang, 2023. "The effect of structural holes on producing novel and disruptive research in physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1801-1823, March.
  15. Wang, Jingjing & Xu, Shuqi & Mariani, Manuel S. & Lü, Linyuan, 2021. "The local structure of citation networks uncovers expert-selected milestone papers," Journal of Informetrics, Elsevier, vol. 15(4).
  16. Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2020. "Deep Learning in Science," Papers 2009.01575, arXiv.org, revised Sep 2020.
  17. Shiji Chen & Yanan Guo & Alvin Shijie Ding & Yanhui Song, 2024. "Is interdisciplinarity more likely to produce novel or disruptive research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2615-2632, May.
  18. Deyun Yin & Zhao Wu & Kazuki Yokota & Kuniko Matsumoto & Sotaro Shibayama, 2023. "Identify novel elements of knowledge with word embedding," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
  19. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
  20. Yining Wang & Qiang Wu & Liangyu Li, 2024. "Examining the influence of women scientists on scientific impact and novelty: insights from top business journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3517-3542, June.
  21. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
  22. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
  23. Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2022. "Artificial intelligence in science: An emerging general method of invention," Research Policy, Elsevier, vol. 51(10).
  24. Yang, Alex J., 2024. "On the temporal diversity of knowledge in science," Journal of Informetrics, Elsevier, vol. 18(4).
  25. Lian, Xiangpeng & Zhang, Yi & Wu, Mengjia & Guo, Ying, 2025. "Do scientific knowledge flows inspire exploratory innovation? Evidence from US biomedical and life sciences firms," Technovation, Elsevier, vol. 140(C).
  26. Gnekpe, Christian & Plantec, Quentin, 2023. "Regulatory push-pull and technological knowledge dynamics of circular economy innovation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  27. Saïd Unger & Lukas Erhard & Oliver Wieczorek & Christian Koß & Jan Riebling & Raphael H Heiberger, 2022. "Benefits and detriments of interdisciplinarity on early career scientists’ performance. An author-level approach for U.S. physicists and psychologists," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-20, June.
  28. 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).
  29. Xin Liu & Yi Bu & Ming Li & Jiang Li, 2024. "Monodisciplinary collaboration disrupts science more than multidisciplinary collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(1), pages 59-78, January.
  30. Fontana, Magda & Iori, Martina & Leone Sciabolazza, Valerio & Souza, Daniel, 2022. "The interdisciplinarity dilemma: Public versus private interests," Research Policy, Elsevier, vol. 51(7).
  31. Wang, Jian & Verberne, Suzan, 2024. "Comparing patent in-text and front-page references to science," Journal of Informetrics, Elsevier, vol. 18(4).
  32. Schubert, Torben & Kroll, Henning & Karaulova, Maria & Blind, Knut, 2024. "Does new public management repel talent? Findings from a choice experiment among German researchers," Discussion Papers "Innovation Systems and Policy Analysis" 84, Fraunhofer Institute for Systems and Innovation Research (ISI).
  33. Wang, Zhongyi & Zhang, Haoxuan & Chen, Jiangping & Chen, Haihua, 2024. "An effective framework for measuring the novelty of scientific articles through integrated topic modeling and cloud model," Journal of Informetrics, Elsevier, vol. 18(4).
  34. Liang Hu & Win-bin Huang & Yi Bu, 2024. "Interdisciplinary research attracts greater attention from policy documents: evidence from COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  35. Yuefen Wang & Lipeng Fan & Lei Wu, 2024. "A validation test of the Uzzi et al. novelty measure of innovation and applications to collaboration patterns between institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4379-4394, July.
  36. Alex J. Yang & Hongcun Gong & Yuhao Wang & Chao Zhang & Sanhong Deng, 2024. "Rescaling the disruption index reveals the universality of disruption distributions in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 561-580, January.
  37. Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
  38. Wenjing Lyu & Yuanhao Huang & Jin Liu, 2024. "The multifaceted influence of multidisciplinary background on placement and academic progression of faculty," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.
  39. Elizabeth S. Vieira, 2023. "The influence of research collaboration on citation impact: the countries in the European Innovation Scoreboard," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3555-3579, June.
  40. Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.