Greg Mahr

889 citations
45 papers · 568 · h-index 12

Impact in

Papers in

Greg Mahr

37 papers receiving 530 citations

Peers

Greg Mahr
Comparison fields: 5 of 82
  • Psychiatry and Mental health 222
  • Clinical Psychology 181
  • Philosophy 73
  • Experimental and Cognitive Psychology 58
  • Hematology 37
Replace T. F. McNeil with:
T. F. McNeil Sweden
Owen Hagino United States
Dieter Schoepf Germany
M. W. Hengeveld Netherlands
Sarah Bydlowski France
A. Schwartz United States
Giancarlo Trombini Italy
Sigrid Young United States
Marie‐Claire Gay France
Rege S. Stewart United States
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Citations per field
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Citations per year

Countries citing papers authored by Greg Mahr

Since Specialization
Citations

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

Fields of papers citing papers by Greg Mahr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Mahr. 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 Greg Mahr. The network helps show where Greg Mahr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000106
2 1998101
3 199964
4 200042
5 202040
6 199040
7 199227
8 202025
9 200019
10 200415
11 200014
12 202211
13 20156
14 20115
15 19985
16 19925
17 20203
18 19873
19 20163
20 19723

About Greg Mahr

Greg Mahr is a scholar working on Clinical Psychology, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Psychiatry and Mental health and Molecular Biology, having authored 45 papers that have together received 568 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (5 papers), Psychosomatic Disorders and Their Treatments (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Pain Management and Treatment (2 papers), COVID-19 and Mental Health (2 papers), Multiple Myeloma Research and Treatments (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Stuttering Research and Treatment (2 papers). The work is most often cited by research in Psychiatry and Mental health (222 citations), Clinical Psychology (181 citations), Philosophy (73 citations), Experimental and Cognitive Psychology (58 citations) and Hematology (37 citations). Greg Mahr has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Gregory L. Barkley, Mark W. Ketterer, Mark A. Lumley, A.David Goldberg, Anjali Thakrar, D. Welsch, Harold R. Roberts, KA High, Sakamuri V. Reddy and Paul A. Friedman. Their work appears in journals such as Psychosomatics, Physical Review A, Journal of Molecular Medicine, European journal of psychotraumatology and The European Physical Journal D.

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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