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Results: 449
Number of items: 449
  • Open Access
    Leydesdorff, L. (2015). Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety. Scientometrics, 105(3), 1441-1451. https://doi.org/10.1007/s11192-015-1639-x
  • Leydesdorff, L., & Milojević, S. (2015). The citation impact of German sociology journals: some problems with the use of scientometric indicators in journal and research evaluations. Soziale Welt, 66(2), 193-204. https://doi.org/10.5771/0038-6073-2015-2-193
  • Leydesdorff, L., & Milojević, S. (2015). Scientometrics. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2 ed., Vol. 21, pp. 322-327). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.85030-8
  • Leydesdorff, L., Alkemade, F., Heimeriks, G., & Hoekstra, R. (2015). Patents as instruments for exploring innovation dynamics: Geographic and technological perspectives on "photovoltaic cells". Scientometrics, 102(1), 629-651. https://doi.org/10.1007/s11192-014-1447-8
  • Johnson, M. W., & Leydesdorff, L. (2015). Beer's viable system model and Luhmann's communication theory: ‘organizations’ from the perspective of meta-games. Systems Research and Behavioral Science, 32(3), 266-282. https://doi.org/10.1002/sres.2222
  • Lengyel, B., Sebestyén, T., & Leydesdorff, L. (2015). Challenges for regional innovation policies in Central and Eastern Europe: spatial concentration and foreign control of US patenting. Science and Public Policy, 42(1), 1-14. https://doi.org/10.1093/scipol/sct087
  • Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1-19. https://doi.org/10.1016/j.ejor.2015.04.002
  • Rotolo, D., & Leydesdorff, L. (2015). Matching Medline/PubMed data with Web of Science: a routine in R language. Journal of the Association for Information Science and Technology, 66(10), 2155-2159. https://doi.org/10.1002/asi.23385
  • Wagner, C. S., Bornmann, L., & Leydesdorff, L. (2015). Recent developments in China-U.S. cooperation in science. Minerva, 53(3), 199-214. https://doi.org/10.1007/s11024-015-9273-6
  • Zhou, Q., Leng, F., & Leydesdorff, L. (2015). The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS. Chinese Journal of Library and Information Science, 8(2), 11-24.
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