Skip to main content
×
×
Home

Measuring the Research Productivity of Political Science Departments Using Google Scholar

  • Michael Peress (a1)
Abstract

This article develops a number of measures of the research productivity of political science departments using data collected from Google Scholar. Departments are ranked in terms of citations to articles published by faculty, citations to articles recently published by faculty, impact factors of journals in which faculty published, and number of top publications in which faculty published. Results are presented in aggregate terms and on a per-faculty basis.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Measuring the Research Productivity of Political Science Departments Using Google Scholar
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Measuring the Research Productivity of Political Science Departments Using Google Scholar
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Measuring the Research Productivity of Political Science Departments Using Google Scholar
      Available formats
      ×
Copyright
References
Hide All

NOTES

1. There are 47 such departments.

2. The data were collected in January 2018.

3. I assigned impact factors only to publications in political science journals because my goal was to measure factors that may lead to greater visibility within the political science field.

4. There is no obvious political-theory journal to add to the list of top journals. Therefore, beyond accounting for the fact that APSR is seen as particularly prestigious, double counting APSR has the effect of double counting the top journal that has been the most receptive to political theory.

5. The largest department in the sample is Princeton, with 45 faculty members. The smallest department is Iowa, with 18 faculty members.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

PS: Political Science & Politics
  • ISSN: 1049-0965
  • EISSN: 1537-5935
  • URL: /core/journals/ps-political-science-and-politics
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed