Covers four key ways in which Publish or Perish can be used: 1. Search for an individual's citation metrics 2. Do a literature review 3. Prepare your case for tenure or promotion 4. Prepare for a meeting with your "academic hero" Also covers the why's of citation analysis, different metrics and diffferent databases and shows how to use PoP's multi-query center.

1. Practice with PoP:
How to use
Publish or Perish
effectively?
Professor Anne-Wil Harzing
Middlesex University
www.harzing.com

2. Why citation analysis?:
Proof over promise
¡ Assessment of the quality of a publication might be (subconsciously)
influenced by the “promise” of:
¡ the journal in which it is published,
¡ the reputation of the author's affiliation,
¡ the sub-discipline (theoretical/modeling vs. applied, hard vs. soft)
¡ [Promise] Publication in a “triple-A” journal initially means that 3-4
academics thought your paper was a worthwhile contribution to the
field. But what if this paper is subsequently hardly ever cited?
¡ [Proof] Publication in a “C-journal” with 1,000+ citations means that 1,000
academics considered your paper to be a worthwhile contribution to
the field
¡ For more details and an application see:
¡ Harzing, A.W.; Mijnhardt, W. (2015) Proof over promise: Towards a more
inclusive ranking of Dutch academics in Economics & Business,
Scientometrics, vol. 102, no. 1, pp. 727-749. Available online...
¡ Article’s main conclusion: Using citation metrics leads to more diverse
rankings (in terms of gender, affiliation, age, and discipline)

3. Which citation metrics?
What is a h-index,
why is hIa better?
¡ H-index increasingly seen as a convenient summary of
quantity & impact and is used in many research
assessments
¡ H-index of 10 means an academic has published 10
papers with at least 10 citations each
¡ hIa (Individual annualised h-index), i.e. h-index corrected
for career length and number of co-authors
¡ measures the average number of single-author
equivalent impactful publications an academic
publishes a year (usually well below 1.0)
¡ For details see:
¡ Harzing, A.W.; Alakangas, S.; Adams, D. (2014) hIa: An
individual annual h-index to accommodate disciplinary
and career length differences, Scientometrics, vol. 99,
no. 3, pp. 811-821. Available online…

4. Which data source?
ISI, Scopus or Google Scholar
¡ Sample of 148 Associate and Full Professors at the University of
Melbourne
¡ All main disciplines (Humanities, Social Sciences, Engineering, Sciences,
Life Sciences) were represented, 37 sub-disciplines
¡ Two professors (1 male, 1 female) and two associate profs (1 male, 1
female) in each sub-discipline (e.g. management, marketing,
accounting, economics)
¡ Citation metrics in WoS/ISI, Scopus and Google Scholar
¡ Collected citation data every 3 months for nearly 2 years
¡ Google Scholar data collected with Publish or Perish, WoS/ISI and
Scopus collected in the respective databases and imported into
Publish or Perish to calculate metrics
¡ The final conclusion: with appropriate metrics and data sources,
citation metrics can be applied in the Social Sciences
¡ ISI H-index: Life Sciences average lies 200% above Social Sciences
average
¡ Google Scholar hIa index: Life Sciences average lies 8% below Social
Sciences average

5. Comparing data sources across
disciplines: 148 academics (1)
0
20
40
60
80
100
120
140
160
180
200
Humanities Social
Sciences
Engineering Sciences Life Sciences
Web of Science 16 30 81 98 109
Scopus 21 34 103 101 123
Google Scholar 93 115 143 149 189
Averagenumberofpapers

6. Comparing data sources across
disciplines: 148 academics (2)
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
Humanities Social
Sciences
Engineering Sciences Life Sciences
Web of Science 61 591 897 2612 3139
Scopus 100 782 1132 2558 3313
Google Scholar 871 2604 1964 3984 4699
Averagenumberofcitations

7. Comparing data sources across
disciplines: 148 academics (3)
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Web of Science Scopus Google Scholar
Humanities 3.5 4.3 12.3
Social Sciences 9.6 12.0 21.5
Engineering 13.5 15.6 20.8
Sciences 25.6 25.6 30.1
Life Sciences 27.1 28.3 33.4
Averageh-index

8. Comparing data sources across
disciplines: 148 academics (4)
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
Web of Science Scopus Google Scholar
Humanities 0.14 0.18 0.36
Social Sciences 0.32 0.42 0.66
Engineering 0.33 0.41 0.53
Sciences 0.44 0.45 0.57
Life Sciences 0.43 0.46 0.65
AveragehIaindex

9. Practical applications of
Publish or Perish
¡ How can I use Publish or Perish to (see links for
details in online version of the Publish or Perish Book)
¡ Track my own citations?
(http://www.harzing.com/popbook/ch3.htm)
¡ Present my case for confirmation or promotion?
(http://www.harzing.com/popbook/ch7.htm)
¡ Ensure I don’t miss key publications in the journal I am
submitting to?
(http://www.harzing.com/popbook/ch10_3.htm)
¡ Prepare for a meeting with an academic I don’t know?
(http://www.harzing.com/popbook/ch8_1.htm)
¡ Systematically store queries so I can run them again?
(http://www.harzing.com/popbook/ch6_2_3.htm)

10. Track your own citations
¡ Use Author impact Author search, e.g. “A Harzing”
¡ Review various measures of impact
¡ Many well-cited pubs (h-index) vs some highly-cited pubs (g-
index)
¡ Young versus older researchers (hc index measures current
impact)
¡ Single versus co-authored (hI norm corrects for multiple authors)
¡ Combined corrections for co-authorship and career stage (hIa)
¡ Which of your publications is a star?
¡ Review citations per year for each publication
¡ Shows you which of your research topics have more impact
¡ What type of publication is it?

12. Publish or Perish for individuals
How to present your case?
¡ It is all about finding your “diamonds” and polishing them to
make them shine!
¡ Find your reference group
¡ Overall record: Average or range for academics at the same level in
your department or field of research (either nationally or worldwide)
¡ Individual papers: Publications in the same journal in the same year
¡ How does your article score within the journal? [Use Journal
Impact]
¡ One of the top-3/5/10(%) scorers in that year? (OS 2003) (see
screenshot)
¡ Play with this for the different data sources: 6th most cited in
Google Scholar, 3rd most cited in Scopus, 2nd most cited in
Thomson Reuters ISI
¡ The most cited paper in the year (JWB 2013) (see screenshot)
¡ Most cited single-authored paper (JWB 2002) (see screenshot)
¡ The first listed paper from your country/outside USA? (IJHRM 1995)
(see screenshot)

15. Journal submission
¡ Before submitting to a journal ensure you have not
missed any publications on your topic
¡ Use General citations
¡ Enter journal title in publication field
¡ Enter topic key words in “all of the words”, “any of
the words” or “the phrase” [words in that exact
order]
¡ If you get too many results, tick the box “title words
only” which searches only in the title (as opposed to
the entire article)
¡ You can combine searches by using OR (in capitals)

17. Imagine: Meeting your
academic hero for dinner?
¡ You want to make a good impression
¡ You need to make sure you know a bit more about them than just the
specific paper you have used for your PhD
¡ You have been running late all day and only have 10 minutes left before
going to the restaurant, what do you do?
¡ Run a Publish or Perish search and sort the results:
¡ By citations, to learn about their most cited article (was it the one you
used in your PhD or not?)
¡ By citations per year to learn about any recent highly cited articles
¡ By year, to learn about their most recent interests (academics might long
be bored with their seminal contributions)
¡ By publication, to get an idea of the journals they have published in (any
journals you have published in too?; US/ European journals, academic/
practitioner journals, general/specialised journals, books)
¡ By author, to get a feel for whom they have worked with (anyone you
know?)
¡ An academic’s publication and citation record is the public
reflection of their “research story” and you can learn a lot from it

18. How to store your queries?
¡ PoP automatically stores any queries you run in the multi-query center
¡ Queries are stored in the “recent queries” folder
¡ They are moved to the “older queries” folder if they are >30 days old
¡ They are moved to the “trash” folder after 180 days
¡ “Query aging” can be adjusted in the preferences
¡ Functionality is very similar to Windows explorer
¡ You can create new folder and sub-folders to organise your queries
¡ Folders and queries can be renamed, copied, or dragged and dropped
¡ Stored queries can be run again at any time by selecting all the queries
you want to rerun and click look-up direct
¡ If you want to KEEP the old result (e.g. to check changes over time), FIRST
copy the query and then run the copied query again
¡ In the screenshot, note the strong increase in citations over the last 5 years
for highly cited AoM presidents DC Hambrick and DM Rousseau
¡ This is caused partly by expansion of Google Scholar coverage and partly
by natural increase of citations
¡ Hence DO NOT compare current day citation metrics to citation metrics
gathered years ago

20. More
information?
Part 1: How to use Publish or Perish more effectively
Chapter 1: Introduction to citation analysis
Chapter 2: Introduction to Publish or Perish
Chapter 3: Author searches
Chapter 4: Journal searches
Chapter 5: General citation search queries
Chapter 6: Multi-query centre
Part 2: Day-to-day uses of Publish or Perish citation analysis
Chapter 7: Making your case for tenure or promotion
Chapter 8: How to evaluate other academics
Chapter 9: Tips for deans and other academic administrators
Chapter 10: Where to submit your paper?
Chapter 11: Conducting a literature review
Part 3: Advanced topics: Delving deeper into the world of citation
analysis
Chapter 12: Doing bibliometric research on authors & journals
Chapter 13: Evaluating Google Scholar
Chapter 14: Evaluating Thomson ISI Web of Science
Chapter 15: A Google Scholar h-index for journals
Chapter 16: Author citation analysis across disciplines
http://www.harzing.com/popbook_pbk.htm