IDEAS home Printed from https://ideas.repec.org/r/spr/scient/v104y2015i3d10.1007_s11192-015-1585-7.html
   My bibliography  Save this item

Scientific collaboration dynamics in a national scientific system

Citations

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


Cited by:

  1. Zheng Xie, 2021. "A distributed hypergraph model for simulating the evolution of large coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4609-4638, June.
  2. Nataliya Matveeva & Anuška Ferligoj, 2020. "Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2383-2407, September.
  3. Romina Rodela, 2016. "On the use of databases about research performance: comments on Karlovčec and Mladenić (2015) and others using the SICRIS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2151-2157, December.
  4. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
  5. Bastian Schäfermeier & Johannes Hirth & Tom Hanika, 2023. "Research topic flows in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5051-5078, September.
  6. Anna‐Maria Kindt & Matthias Geissler & Kilian Bühling, 2022. "Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1274-1295, November.
  7. Letina, Srebrenka, 2016. "Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community," Journal of Informetrics, Elsevier, vol. 10(2), pages 571-595.
  8. Türker, İlker & Çavuşoğlu, Abdullah, 2016. "Detailing the co-authorship networks in degree coupling, edge weight and academic age perspective," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 386-392.
  9. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
  10. Yang, Hyeonchae & Jung, Woo-Sung, 2016. "Structural efficiency to manipulate public research institution networks," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 21-32.
  11. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
  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. Pink, Sebastian & Kretschmer, David & Leszczensky, Lars, 2020. "Choice modelling in social networks using stochastic actor-oriented models," Journal of choice modelling, Elsevier, vol. 34(C).
  14. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
  15. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2018. "Is science driven by principal investigators?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1157-1182, November.
  16. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.
  17. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.
  18. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
  19. Nataliya Matveeva & Vladimir Batagelj & Anuška Ferligoj, 2023. "Scientific collaboration of post-Soviet countries: the effects of different network normalizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4219-4242, August.
  20. Fabio Ashtar Telarico & Franc Mali & Aleš Žiberna, 2024. "Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5635-5672, September.
  21. Katarina Rojko & Brankica Bratić & Borut Lužar, 2020. "The Bologna reform’s impacts on the scientific publication performance of Ph.D. graduates—the case of Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 329-356, July.
  22. Yu-Peng Zhu & Han-Woo Park, 2022. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
  23. Rojko, Katarina & Lužar, Borut, 2022. "Scientific performance across research disciplines: Trends and differences in the case of Slovenia," Journal of Informetrics, Elsevier, vol. 16(2).
  24. Franc Mali & Toni Pustovrh & Rok Platinovšek & Luka Kronegger & Anuška Ferligoj, 2017. "The effects of funding and co-authorship on research performance in a small scientific community," Science and Public Policy, Oxford University Press, vol. 44(4), pages 486-496.
  25. Zheng Xie, 2019. "A cooperative game model for the multimodality of coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 503-519, October.
  26. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
  27. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
  28. Tošić, Aleksandar & Vičič, Jernej, 2021. "Use of Benford's law on academic publishing networks," Journal of Informetrics, Elsevier, vol. 15(3).
  29. Inoue, Masaaki & Pham, Thong & Shimodaira, Hidetoshi, 2020. "Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks," Journal of Informetrics, Elsevier, vol. 14(3).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.