Cross-field normalization of scientometric indicators

Comparative assessment of scientometric indicators is greatly hindered by the different standards valid in different science fields and subfields. Indicators concerning to different fields can be compared only after first gauging them against a properly chosen reference standard, and their relative standing can then be compared. Methods of selecting reference standards and scaling procedures are surveyed in this study, and examples are given to their practical application.

[1]  Wolfgang Glänzel,et al.  A dynamic look at a class of skew distributions. A model with scientometric applications , 2005, Scientometrics.

[2]  M. M. Kessler.  Bibliographic coupling between scientific papers , 1963 .

[3]  Wolfgang Glänzel,et al.  Prompt nuclear analysis literature: A cumulative advantage approach , 1984 .

[4]  Wolfgang Glänzel,et al.  One more version of the facts and figures on publication output and relative citation impact in physics and mathematics 1978–1980 , 1987, Scientometrics.

[5]  Wolfgang Glänzel,et al.  Price distribution. An exact formulation of Price's “square root law” , 1985, Scientometrics.

[6]  Tibor Braun,et al.  Reference standards for citation based assessments , 2005, Scientometrics.

[7]  Wolfgang Glänzel,et al.  Subject field characteristic citation scores and scales for assessing research performance , 1987, Scientometrics.

[8]  Wolfgang Glänzel,et al.  Scientometric datafiles. A comprehensive set of indicators on 2649 journals and 96 countries in all major science fields and subfields 1981–1985 , 1989, Scientometrics.

[9]  Wolfgang Glänzel,et al.  “Hyphenation” of databases in building scientometric indicators , 2005, Scientometrics.

[10]  Tibor Braun,et al.  Relative indicators and relational charts for comparative assessment of publication output and citation impact , 1986, Scientometrics.

[11]  András Schubert,et al.  Estimation of the publication potential in 50 U.S. states and in the District of Columbia based on the frequency distribution of scientific productivity , 1989, JASIS.

[12]  D. Price.  Little Science, Big Science , 1965 .

[13]  Wolfgang Glänzel,et al.  Characterization and statistical test using truncated expectations for a class of skew distributions , 1985 .

[14]  Tibor Braun,et al.  Indicators of research output in the sciences from 5 Central European countries, 1990–1994 , 1996, Scientometrics.

[15]  Wolfgang Glänzel,et al.  Characteristic scores and scales in assessing citation impact , 1988, J. Inf. Sci..

[16]  Wolfgang Glänzel,et al.  Journal citation measures: a concise review , 1988, J. Inf. Sci..

[17]  A. Cawkell.  Science Citation Index , 1970, Nature.

[18]  Eugene Garfield,et al.  Citation indexing - its theory and application in science, technology, and humanities , 1979 .