Finding Scientific Articles in Google Scholar Database
Dr. Anne-Wil Harzing's Publish
or Perish (PoP) software is an excellent tool that queries the Google Scholar
database, analyzes the results and presents them in a novel and very useful
manner. The software is available for free at http://www.harzing.com/pop.htm. After you have installed it check out 2-Minute Introduction and Frequently Asked Questions under the Help resources menu of PoP.
Publish or Perish (PoP) as a tool for academics
Using the Author Impact
analysis tool, Publish
or Perish is designed to empower individual academics to
present their case for research impact to its best advantage (see section What Publish or Perish is for on page http://www.harzing.com/pop.htm), e.g. when applying for tenure or promotion.
Publish or Perish (PoP) as a research tool
In the General citations
feature of Publish or
Perish
the database is queried based on the search word(s)
supplied. The results are presented in order of number of citations.
The publication that has been cited most often is the first one listed.
Click any column heading and you sort by that heading. A publication
that is cited frequently is often considered a key
publication, given the search criteria specified. Clicking on any one
of
the results gives a listing of all articles that
have cited that particular publication, while the article itself is
given at the top. Clicking on Cite (below an article) gives a proper
citation you can copy and paste into e.g. a document. To get the
maximum benefit of
the citations feature, preferences should be set in Google Scholar.
Setting Preferences in Google Scholar
To find a publication listed by Google Scholar or
to obtain a proper bibliographic citation for that publication Preferences should
be set. Go to http://scholar.google.ca/scholar_preferences? and
enter appropriate information under Library Links (e.g. Concordia) and Bibliography
Manager (e.g. Refworks). This gives a Find-it @ Concordia link.Note that these setting may be lost when Cearing all browser data.