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Bibliometrics: the art of citations indices 1.0

  Date Added: April 14, 2013  |  Visits: 206

Bibliometrics: the art of citations indices

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Actually, every researcher come to terms with his/her bibliometricperformance. There are many software to compute these indices, like Publish or Perish or Google Scholar. Anyway, these softwares require an additional work like to identify the proper papers to exclude papers by authors with the same name and surname. Moreover, Google Scholar is not efficient to list all the authors of a papers (it cuts the list), so some metrics are inaccurate. So I decided to set-up this algorithm to compute these metrics without web data-mining. Syntax: bibliometrics(C,Y,A) Inputs:C - an array with the number of Citations of published papers (mandatory). These data can be obtained using several databases as ISI, Researcher ID, Google Scholar, Scopus, Citeseeker,... Y - an array with the Years of publication of the papers (optional). Everybody know when an own paper was published...A - an array with the number of Authors of published papers (optional). Everybody know the number of co-authors of an own paper...Outputs (if all vectors were given):- Descriptive statistics: dlT- Total number of papers dlT- Total number of citations dlT- Min, Max, Mode, Median and Mean citations per papers (with 95% confidence intervals) dlT-Variation Coefficient (normal and adjusted) dlT-Gini's coefficient and Lorenz Diagram dlT- Years of activity, first and last year of publication dlT- Min, Max, Mode, Median and Mean papers per year (with 95% confidence intervals) dlT- Mean number of citations per year dlT- Min, Max, Mode, Median and Mean Authors per paper (with 95% confidence intervals) dlT- Citations per author- Bibliometrics indices dlT- Citations indices * Hirsch's h-index with a and m parameters, delta-h * Egghe's g-index, delta-g * Jin's A-index * Kosmulski's h2-index * Zhang's e-index * Sidiropoulos'es normalized h-Index dlT- Years weighted indices * Sidiropoulos'es Contemporary h-Index (hc-index) * Jin's Age weighted citation rate (AWCR) and AR-index * Harzing's Age weighted citation rate (AWCR) and AR-index dlT- Authors weighted indices * Batista's Individual h-index (hI-index) * Harzing's Individual h-index (hI,norm-index) * Schreiber's Multi-authored h-index (hm-index) dlT- Years and Authors weighted indices * Jin's Age weighted citation rate (AWCR) and AR-index * Harzing's Age weighted citation rate (AWCR) and AR-index Several plotsThe function requires the Statistical Toolbox only to compute the medians 95% confidence intervals. If you have not the StatTbx simply disable these rows.

Requirements: No special requirements
Platforms: Matlab
Keyword: Activity Aindex Author Bibliometrics Deltag Diagram Hindex Hirschs Parameters
Users rating: 0/10

License: Shareware Size: 10 KB
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