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Scientific discovery and topological transitions in collaboration networks

Citations

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Cited by:

  1. Carlos B. Amat & François Perruchas, 2016. "Evolving cohesion metrics of a research network on rare diseases: a longitudinal study over 14 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 41-56, July.
  2. Bulent Ozel, 2012. "Collaboration structure and knowledge diffusion in Turkish management academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 183-206, October.
  3. Citron, Daniel T. & Way, Samuel F., 2018. "Network assembly of scientific communities of varying size and specificity," Journal of Informetrics, Elsevier, vol. 12(1), pages 181-190.
  4. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  5. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
  6. Coccia, Mario, 2022. "Probability of discoveries between research fields to explain scientific and technological change," Technology in Society, Elsevier, vol. 68(C).
  7. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
  8. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
  9. Roberto Lalli & Riaz Howey & Dirk Wintergrün, 2020. "The dynamics of collaboration networks and the history of general relativity, 1925–1970," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1129-1170, February.
  10. Zhu, Wanying & Jin, Ching & Ma, Yifang & Xu, Cong, 2023. "Earlier recognition of scientific excellence enhances future achievements and promotes persistence," Journal of Informetrics, Elsevier, vol. 17(2).
  11. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
  12. Yunwei Chen & Katy Börner & Shu Fang, 2013. "Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1051-1070, June.
  13. Miloš Savić & Mirjana Ivanović & Miloš Radovanović & Zoran Ognjanović & Aleksandar Pejović & Tatjana Jakšić Krüger, 2014. "The structure and evolution of scientific collaboration in Serbian mathematical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1805-1830, December.
  14. Mario Coccia, 2019. "How do scientific disciplines evolve in applied sciences? The properties of scientific fission and ambidextrous scientific drivers," Papers 1911.05363, arXiv.org.
  15. Rogier Langhe, 2017. "Towards the discovery of scientific revolutions in scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 505-519, January.
  16. Francisco Díez-Martín & Alicia Blanco-González & Camilo Prado-Román, 2021. "The intellectual structure of organizational legitimacy research: a co-citation analysis in business journals," Review of Managerial Science, Springer, vol. 15(4), pages 1007-1043, May.
  17. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
  18. Anil, Akash & Singh, Sanasam Ranbir, 2020. "Effect of class imbalance in heterogeneous network embedding: An empirical study," Journal of Informetrics, Elsevier, vol. 14(2).
  19. Kristofer Rolf Söderström, 2023. "The structure and dynamics of instrument collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3581-3600, June.
  20. Chih-cheng Lo & Hsin-Chuan Cho & Pin-Wei Wang, 2020. "Global R&D Collaboration in the Development of Nanotechnology: The Impact of R&D Collaboration Patterns on Patent Quality," Sustainability, MDPI, vol. 12(15), pages 1-12, July.
  21. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
  22. Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
  23. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
  24. Yunwei Chen & Shu Fang, 2014. "Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1215-1231, November.
  25. Gordo Molina, Virginia & Díez Martín, Francisco & Del Castillo Feito, Cristina, 2022. "Legitimacy in entrepreneurship. Intellectual structure and research trends," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
  26. Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.
  27. Gerhard A. Wuehrer & Angela Elisabeth Smejkal, 2013. "The knowledge domain of the academy of international business studies (AIB) conferences: a longitudinal scientometric perspective for the years 2006–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 541-561, May.
  28. Joseph Staudt & Huifeng Yu & Robert P Light & Gerald Marschke & Katy Börner & Bruce A Weinberg, 2018. "High-impact and transformative science (HITS) metrics: Definition, exemplification, and comparison," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
  29. Winnink, J.J. & Tijssen, Robert J.W. & van Raan, A.F.J., 2019. "Searching for new breakthroughs in science: How effective are computerised detection algorithms?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 673-686.
  30. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
  31. Simone Turchetti & Roberto Lalli, 2020. "Envisioning a “science diplomacy 2.0”: on data, global challenges, and multi-layered networks," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
  32. Rousseau, Ronald & Hu, Xiaojun, 2013. "Two time series, their meaning and some applications," Journal of Informetrics, Elsevier, vol. 7(3), pages 603-610.
  33. Tsouchnika, Maria & Smolyak, Alex & Argyrakis, Panos & Havlin, Shlomo, 2022. "Patent collaborations: From segregation to globalization," Journal of Informetrics, Elsevier, vol. 16(1).
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