William A. Schutt

23 papers receiving 317 citations

Peers

William A. Schutt
Comparison fields: 5 of 72
  • Paleontology 73
  • Developmental Biology 19
  • Ecology, Evolution, Behavior and Systematics 142
  • Health 25
  • Equine 5
Replace Michael L. Yuan with:
Michael L. Yuan United States
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Susan C. Thomson United Kingdom
Justin Roy United States
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Robert G. Tague United States
Cynthia L. Thompson United States
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William A. Schutt relative to Michael L. Yuan United States Michael L. Yuan's profile →
Citations per field
00.5×6.3×
Michael L. Yuan · 1×
Citations per year

Countries citing papers authored by William A. Schutt

Since Specialization
Citations

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

Fields of papers citing papers by William A. Schutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Schutt. 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 William A. Schutt. The network helps show where William A. Schutt may publish in the future.

Co-authors

The 24 scholars most cited alongside William A. Schutt, 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 William A. Schutt Line = papers co-authored together William A. Schutt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 199742
3 199826
4 199622
5 199321
6 202119
7 201716
8 199314
9 201714
10 202412
11 199411
12 199910
13 20199
14 19949
15 20019
16 20229
17 19947
18 20245
19 20225
20 20243

About William A. Schutt

William A. Schutt is a scholar working on Clinical Psychology, Ecology, Evolution, Behavior and Systematics, Health, Ecology and Molecular Biology, having authored 25 papers that have together received 326 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (7 papers), Psychedelics and Drug Studies (5 papers), Marine animal studies overview (2 papers), Evolution and Paleontology Studies (2 papers), Religion, Spirituality, and Psychology (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Veterinary Equine Medical Research (2 papers) and Experimental and Theoretical Physics Studies (2 papers). The work is most often cited by research in Paleontology (73 citations), Developmental Biology (19 citations), Ecology, Evolution, Behavior and Systematics (142 citations), Health (25 citations) and Equine (5 citations). William A. Schutt has collaborated with scholars based in United States, Brazil and New Zealand. Frequent co-authors include John W. Hermanson, Nancy B. Simmons, Julie J. Exline, Daniel K. Riskin, Stuart Parsons, Gerald G. Carter, Arthur M. Greenhall, Joshua Wilt, J. Scott Altenbach and Seth Warschausky. Their work appears in journals such as Psychology of Religion and Spirituality, Journal of Experimental Biology, The Anatomical Record, Journal of Morphology and Rehabilitation Psychology.

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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