David S. Abrahamson

47 papers receiving 1.3k citations

David S. Abrahamson's Hit Papers

Contemporary Animal Learning Theory. 1981 · 772 citations
7720+15+30Years since publication250500750

Peers

David S. Abrahamson
Comparison fields: 5 of 142
  • Cognitive Neuroscience 466
  • Developmental and Educational Psychology 281
  • General Psychology 25
  • Behavioral Neuroscience 46
  • Social Psychology 263
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David S. Abrahamson relative to William A. Wilson United States William A. Wilson's profile →
Citations per field
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Citations per year

Countries citing papers authored by David S. Abrahamson

Since Specialization
Citations

This map shows the geographic impact of David S. Abrahamson'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 David S. Abrahamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Abrahamson more than expected).

Fields of papers citing papers by David S. Abrahamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Abrahamson. 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 David S. Abrahamson. The network helps show where David S. Abrahamson may publish in the future.

Co-authors

The 25 scholars most cited alongside David S. Abrahamson, 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 David S. Abrahamson Line = papers co-authored together David S. Abrahamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Contemporary Animal Learning Theory.
Hit paper breakdown →
1981772
2 1996107
3 199891
4 199462
5 199060
6 199537
7 197336
8 198336
9 200729
10
Final Committee Draft
199925
11 202124
12 199323
13 198617
14
Magazine-Made America: The Cultural Transformation of the Postwar Periodical
199617
15 199816
16 197013
17 199113
18 200710
19 19668
20 19718

About David S. Abrahamson

David S. Abrahamson is a scholar working on Clinical Psychology, Literature and Literary Theory, General Health Professions, Psychiatry and Mental health and Philosophy, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Digital Games and Media (5 papers), Mental Health and Psychiatry (4 papers), Advanced MRI Techniques and Applications (4 papers), Literature, Film, and Journalism Analysis (3 papers), Mental Health and Patient Involvement (3 papers), Advanced X-ray and CT Imaging (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Cognitive Neuroscience (466 citations), Developmental and Educational Psychology (281 citations), General Psychology (25 citations), Behavioral Neuroscience (46 citations) and Social Psychology (263 citations). David S. Abrahamson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nathan D. Wong, Robert Detrano, Jonathan M. Tobis, Shirin M. Schludermann, Eduard H. Schludermann, George A. Diamond, Xingping Kang, Harvey Eisenberg, Anthony N. Vo and Luc Ciompi. Their work appears in journals such as The British Journal of Psychiatry, The American Journal of Cardiology, Critical Care Medicine, Journal of the American Heart Association and Coronary Artery Disease.

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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