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Results: 449
Number of items: 449
  • Etzkowitz, H., & Leydesdorff, L. (2025). Innovation and the Triple Helix. Scientometrics, 130(6), 3279-3291. https://doi.org/10.1007/s11192-025-05337-8
  • Open Access
    Leydesdorff, L., Zhang, L., & Wouters, P. (2023). Trajectories and regimes in research versus knowledge evaluations: Contributions to an evolutionary theory of citation. Profesional de la Informacion, 32(1), Article e320103. https://doi.org/10.3145/epi.2023.ene.03
  • Open Access
    Daraio, C., Di Leo, S., & Leydesdorff, L. (2023). A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape. Scientometrics, 128(1), 483-510. https://doi.org/10.1007/s11192-022-04551-y
  • Open Access
    Almeida, M., Porto-Gómez, I., & Leydesdorff, L. (2023). Are Brazilian innovation systems innovative? Regional and sectorial decompositions of triple-helix synergies. Profesional de la Informacion, 32(7), Article e320707. https://doi.org/10.3145/epi.2023.dic.07
  • Open Access
    Lawton Smith, H., & Leydesdorff, L. (2022). Have Quadruple and Quintuple Helices Emerged? Metaphors, Project Titles, and Empirical Research. Triple Helix, 9(2), 174-183. https://doi.org/10.1163/21971927-bja10033
  • Open Access
    Leydesdorff, L., & Smith, H. L. (2022). Triple, Quadruple, and Higher-Order Helices: Historical Phenomena and (Neo-)Evolutionary Models. Triple Helix, 9(1), 6-31. https://doi.org/10.1163/21971927-bja10022
  • Open Access
    Leydesdorff, L., & Bornmann, L. (2021). Disruption indices and their calculation using web-of-science data: Indicators of historical developments or evolutionary dynamics? Journal of Informetrics, 15(4), Article 101219. https://doi.org/10.1016/j.joi.2021.101219
  • Hellsten, I., Opthof, T., & Leydesdorff, L. (2020). N-mode network approach for socio-semantic analysis of scientific publications. Poetics, 78, Article 101427. https://doi.org/10.1016/j.poetic.2019.101427
  • Open Access
    Leydesdorff, L., & Hoegl, F. (2020). The evolutionary dynamics of expectations: Interactions among codes in inter-human communications. Biosystems, 198, Article 104236. https://doi.org/10.1016/j.biosystems.2020.104236
  • Open Access
    Hellsten, I., & Leydesdorff, L. (2020). Automated analysis of actor–topic networks on Twitter: New approaches to the analysis of socio‐semantic networks. Journal of the Association for Information Science and Technology, 71(1), 3-15. https://doi.org/10.1002/asi.24207
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