Publications / Presentations
Bornmann L., Bauer J., Schlagberger E. M. (Publ.online). Characteristics of Highly Cited Researchers 2015 in Germany, Scientometrics, doi: 10.1007/s11192-017-2248-7.
Schlagberger E. M., Bornmann L., Bauer J. (2016). At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014, Scientometrics, 109:723-767, doi: 10.1007/s11192-016-2059-2.
Bauer, J., Leydesdorff, L., Bornmann, L. (2016). Highly-cited papers in Library and Information Science (LIS): Authors, institutions, and network structures. Journal of the Association for Information Science and Technology, Vol. 67, Issue 12, pp. 3095-3100, doi: 10.1002/asi.23568.
Bornmann L., Bauer J., Haunschild R. (2015). Distribution of women and men among highly cited scientists. Journal of the Association of Information Science and Technology, Vol. 66, Issue 12, pp. 2715-2716, doi: 10.1002/asi.23583.
Bornmann, L. & Bauer, J. (2015). Evaluation of the highly-cited researchers' database for a country: Proposals for meaningful analyses on the example of Germany. Scientometrics, Vol. 105, Issue 3, 1, pp. 1997-2003, doi: 10.1007/s11192-015-1619-1.
Bornmann L., Bauer, J. (2015). Which of the world's institutions employ the most highly cited researchers? An evaluation of the data from highlycited.com, Journal of the Association for Information Science and Technology, Vol. 66, Issue 10, pp. 2146-2148, 2015, doi: 10.1002/asi.23396.
Bornmann L., Bowman B. F., Bauer J., Marx W., Schier H., Palzenberger M. Bibliometric Standards for Evaluating Research Institutes in the Natural Sciences. Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholary Impact, edited by Cronin B., Sugimoto CR, pp. 201-223, 2014.
Bornmann L., Bowman B. F., Bauer J., Marx W., Schier H., Palzenberger, M. Standards for Applying Bibliometrics to the Evaluation of Research Institutes in the Natural Sciences. Zeitschrift für Evaluation, Vol. 11, Issue 2, pp. 233-260, 2012.
Even though bibliometrics has been a well-defined research area within scientometrics for many years, uniformity in the conduct of bibliometric analyses has not yet been achieved. The numerous dos and don'ts that exist in the field represent the implicit knowledge of experienced users, rather than a clearly defined set of rules and operating procedures. Our chapter seeks to establish standards for applying bibliometrics to the evaluation of research institutes in a number of areas in the natural sciences. These standards refer to the selection of the underlying data from the reference databases, the statistical analysis of the data and the presentation of results. We draw upon anonymized data from six research institutes active in similar research areas to illustrate the applicability of our proposed standards.
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