Have a personal or library account? Click to login

Novel Approaches to the Development and Application of Informetric and Scientometric Tools

Open Access
|Aug 2020

References

  1. Arsalan, M., Mubin, O., & Al Mahmud, A. (2020). Evidence-based nomenclature and taxonomy of research impact indicators. Journal of Data and Information Science, 5(3), 33–56.
  2. Carvalho, D.S., Bares, L., & Silva, K. (2020). The gender patenting gap: A study on the Iberoamerican countries. Journal of Data and Information Science, 5(3), 116–128.
  3. Cox, J., McBeath, D., Harper, C., & Daniel, R. (2020). Co-occurrence of cell lines, basal media and supplementation in the biomedical research literature. Journal of Data and Information Science, 5(3), 161–177.
  4. Daraio, C., Bruni, R., Catalano, G., Daraio, A., Matteucci, G., Scannapieco, M., ..., & Lepori, B. (2020). A tailor-made data quality approach for higher educational data. Journal of Data and Information Science, 5(3), 129–160.
  5. Fassin, Y. (2020). The compound F2-index and the compound H-index as extension of the f2 and h-indexes from a dynamic perspective. Journal of Data and Information Science, 5(3), 71–83.
  6. Haunschild, R., Leydesdorff, L., & Bornmann, L. (2020). Library and information science papers discussed on Twitter: A new network-based approach for measuring public attention. Journal of Data and Information Science, 5(3), 5–17.
  7. Hubbard, D.E., & Laddusaw, S. (2020). Acknowledgment of libraries in the journal literature: An exploratory study. Journal of Data and Information Science, 5(3), 178–186.
  8. Lazarev, V.S. (2020). Discipline impact factor: Some of its history, some of the author's experience of its application, the continuing reasons for its use and… next beyond. Journal of Data and Information Science, 5(3), 197–209.
  9. Nguyen, B.X., Dinneen, J.D., & Luczak-Roesch, M. (2020). A novel method for resolving and completing authors’ country affiliation data in bibliographic records. Journal of Data and Information Science, 5(3), 97–115.
  10. Pölönen, J., & Hammarfelt, B. (2020). Historical bibliometrics using Google Scholar: The case of Roman law, 1727–2016. Journal of Data and Information Science, 5(3), 18–32.
  11. Sargsyan, S., Gzoyan, E., Mirzoyan, A., & Blaginin, V. (2020). Scientometric implosion that leads to explosion: Case study of Armenian journals. Journal of Data and Information Science, 5(3), 187–196.
  12. Smolinsky, L., & Lercher, A.J. (2020). Co-author weighting in bibliometric methodology and subfields of a scientific discipline. Journal of Data and Information Science, 5(3), 84–96.
  13. Souma, W., Vodenska I., & Chitkushev L. (2020). Classification of paper values based on Citation Rank and Pagerank. Journal of Data and Information Science, 5(3), 87–70.
DOI: https://doi.org/10.2478/jdis-2020-0022 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 1 - 4
Published on: Aug 6, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2020 Giuseppe Catalano, Cinzia Daraio, Jacqueline Leta, Henk F. Moed, Giancarlo Ruocco, Xiaolin Zhang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.