Kenneth M. Prkachin

8.4k citations
100 papers · 6.1k indexed · 1 hit paper · h-index 42

Kenneth M. Prkachin

98 papers receiving 5.9k citations

Hit Papers

Painful data: The UNBC-McMaster shoulder pain expression ...4082011202620162021100200300400

Peers

Kenneth M. Prkachin
Comparison fields: 5 of 157
  • Experimental and Cognitive Psychology 1.6k
  • Cognitive Neuroscience 2.1k
  • Anesthesiology and Pain Medicine 609
  • Pharmacology 1.3k
  • Psychiatry and Mental health 1.1k
Replace Edmund Keogh with:
Edmund Keogh United Kingdom
Pierre Rainville Canada
Stefan Lautenbacher Germany
David R. Patterson United States
Kenneth D. Craig Canada
Peter W. Halligan United Kingdom
Miriam Kunz Germany
Azucena García‐Palacios Spain
Frank Andrasik United States
Mindy J. Katz United States
Kenneth M. Prkachin relative to Edmund Keogh United Kingdom Edmund Keogh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kenneth M. Prkachin

Since Specialization
Citations

This map shows the geographic impact of Kenneth M. Prkachin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenneth M. Prkachin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth M. Prkachin more than expected).

Fields of papers citing papers by Kenneth M. Prkachin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth M. Prkachin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenneth M. Prkachin. The network helps show where Kenneth M. Prkachin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kenneth M. Prkachin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenneth M. Prkachin Line = papers co-authored together Kenneth M. Prkachin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 202111
3 202014
4
Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia
20196
5 201911
6 2014222
7 201370
8 201245
9 2011205
10 201111
11 200932
12 2008321
13 200586
14 2005411
15 200525
16 200434
17 200454
18 200151
19 199745
20 1992416

About Kenneth M. Prkachin

Kenneth M. Prkachin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology, having authored 100 papers that have together received 6.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (26 papers), Pain Management and Placebo Effect (23 papers), Pediatric Pain Management Techniques (18 papers), Pain Mechanisms and Treatments (15 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Empathy and Medical Education (13 papers), Psychology of Moral and Emotional Judgment (9 papers) and Emotion and Mood Recognition (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.6k citations), Cognitive Neuroscience (2.1k citations) and Anesthesiology and Pain Medicine (609 citations). Kenneth M. Prkachin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Patricia Solomon, Kenneth D. Craig, Jeffrey F. Cohn, Susan R. Mercer, Patrick Lucey, Iain Matthews, Karina W. Davidson, Joshua A. Rash, Amishi P. Jha and Lauren M. Bylsma. Their work appears in journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and NeuroImage.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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