John G. Watkins

99 total papers · 1.2k total citations
39 papers, 731 citations indexed

About

John G. Watkins is a scholar working on Clinical Psychology, Cognitive Neuroscience and General Psychology. According to data from OpenAlex, John G. Watkins has authored 39 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Clinical Psychology, 17 papers in Cognitive Neuroscience and 5 papers in General Psychology. Recurrent topics in John G. Watkins's work include Pain Management and Placebo Effect (16 papers), Psychotherapy Techniques and Applications (15 papers) and Academic and Historical Perspectives in Psychology (5 papers). John G. Watkins is often cited by papers focused on Pain Management and Placebo Effect (16 papers), Psychotherapy Techniques and Applications (15 papers) and Academic and Historical Perspectives in Psychology (5 papers). John G. Watkins collaborates with scholars based in United States, Australia and United Kingdom. John G. Watkins's co-authors include Helen H. Watkins, Arreed Barabasz, Marianne Barabasz, Arun Sahai, Christopher G. Dowson, Prokar Dasgupta, Brian F. French, Zygmunt A. Piotrowski, Andrey L. Vasnev and Richard Gerlach and has published in prestigious journals such as British Journal of Sports Medicine, Journal of Applied Econometrics and Psychiatric Clinics of North America.

In The Last Decade

John G. Watkins

36 papers receiving 525 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John G. Watkins	497	290	145	121	79	39	731
John R. Weekes	386 0.8×	358 1.2×	107 0.7×	66 0.5×	110 1.4×	39	782
Edward J. Frischholz	325 0.7×	464 1.6×	385 2.7×	114 0.9×	60 0.8×	44	796
Arthur C. Carr	520 1.0×	91 0.3×	135 0.9×	90 0.7×	128 1.6×	38	780
Rudi Vermote	488 1.0×	93 0.3×	121 0.8×	131 1.1×	79 1.0×	51	674
Louis C. Charland	351 0.7×	211 0.7×	71 0.5×	198 1.6×	194 2.5×	58	870
Eugen Kahn	327 0.7×	120 0.4×	239 1.6×	151 1.2×	119 1.5×	54	796
Neil J. Yorkston	443 0.9×	112 0.4×	178 1.2×	61 0.5×	156 2.0×	23	797
Kurt Goldstein	121 0.2×	211 0.7×	121 0.8×	93 0.8×	100 1.3×	18	645
Maxwell I. Gwynn	241 0.5×	716 2.5×	114 0.8×	50 0.4×	113 1.4×	32	908
Marc‐André Bouchard	449 0.9×	120 0.4×	85 0.6×	84 0.7×	254 3.2×	41	854

Countries citing papers authored by John G. Watkins

Since Specialization

Citations

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

Fields of papers citing papers by John G. Watkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Watkins. 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 John G. Watkins. The network helps show where John G. Watkins may publish in the future.

Co-authorship network of co-authors of John G. Watkins

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Watkins. A scholar is included among the top collaborators of John G. Watkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John G. Watkins. John G. Watkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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