Difference between revisions of "2016Q3 Reports: CL Journal Editor"

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Latest revision as of 20:39, 23 July 2016

Computational Linguistics 2016Q3 report

In this report I document, for a change, two kinds of statistics I have not usually discussed: impact factors and gender statistics. All other statistics (number of papers submitted, average time to fist decision, etc, are roughly the same as first quarter report)

Computational Linguistics Impact factor

The JCR 2015 impact factors have been released in June and Computational Linguistics had a very good year. The journal had a 2.017 score which made it:

  • 8th out of 179 journals in Linguistics
  • 38th out of 130 journals in computer science, artificial intelligence
  • 30th out of 104 journals in computer science, interdisciplinary applications


Going open access hasn't impacted the journal's ability to attract top quality papers and fluctuations in impact factors that we have witnessed recently are normal. This was Computational Linguistics best year in quite some time.


Impact factors in recent past year

  • 2011 0.721
  • 2012 0.940
  • 2013 1.468
  • 2014 1.224
  • 2015 2.017


Computational Linguistics Gender Statistics 2015

We have been asked by the LSA (the Linguistic Society of America) to compile gender statistics, as part of a much larger effort concerning all linguistics journals. These are the statistics we were able to gather in a reasonable amount of time for paers submitted in 2015 for which a decision has been reached.


INFORMATION REQUESTED:

Associate Editors

  • Number of guest editors 2 (males 0, females 2)

Editorial Board 2015

  • Number of editorial board members 24 (males 16, females 8)

Editorial Board 2014

  • Number of editorial board members 24 (males 18, females 6)

Editorial Board 2013

  • Number of editorial board members 24 (males 16, females 8)


Manuscripts

For co-authored papers, each author has been tallied. These numbers include a special issue

Number of paper submitted for review in total 129. Number of suitable papers submitted for review 53: male authors 84, female authors 36, unknown 18. Number of suitable papers accepted 19: male authors 35, female authors 17, unknown 4.

First author information for those papers that were accepted:

  • male first authors 13, female first authors 5, unknown 1.

In compiling these statistics, I was intrigued by the fact that most (suitable) submitted papers are single gender (either all males or all female). Here are the statistics for the papers submitted (including special issue): female only 6, male only 26, mixed 15, other 5.