Jeffrey M. Gau

10 total papers · 655 total citations
9 papers, 506 citations indexed

About

Jeffrey M. Gau is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology. According to data from OpenAlex, Jeffrey M. Gau has authored 9 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Psychology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Jeffrey M. Gau's work include Eating Disorders and Behaviors (3 papers), Child Nutrition and Feeding Issues (2 papers) and Obesity, Physical Activity, Diet (2 papers). Jeffrey M. Gau is often cited by papers focused on Eating Disorders and Behaviors (3 papers), Child Nutrition and Feeding Issues (2 papers) and Obesity, Physical Activity, Diet (2 papers). Jeffrey M. Gau collaborates with scholars based in United States. Jeffrey M. Gau's co-authors include Peter M. Lewinsohn, Daniel N. Klein, Stewart A. Shankman, Paul Rohde, Richard A. Brown, Christopher W. Kahler, Thomas E. Joiner, Jill M. Holm‐Denoma, Ruth H. Striegel‐Moore and Anthony Biglan and has published in prestigious journals such as Psychological Medicine, Journal of Neurotrauma and International Journal of Eating Disorders.

In The Last Decade

Jeffrey M. Gau

9 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey M. Gau 315 163 134 97 68 9 506
Jody Kamon 292 0.9× 100 0.6× 60 0.4× 47 0.5× 61 0.9× 15 552
Aivar Päären 329 1.0× 178 1.1× 121 0.9× 87 0.9× 76 1.1× 15 561
Jolene Kinley 198 0.6× 78 0.5× 56 0.4× 123 1.3× 103 1.5× 16 488
Kathrin Pietsch 339 1.1× 60 0.4× 94 0.7× 85 0.9× 100 1.5× 10 513
Diana J. Antonacci 250 0.8× 101 0.6× 114 0.9× 48 0.5× 58 0.9× 10 514
Justin L. Weiss 295 0.9× 159 1.0× 176 1.3× 41 0.4× 71 1.0× 20 566
Barbara Frühe 324 1.0× 58 0.4× 84 0.6× 78 0.8× 98 1.4× 9 495
Sarah A. Mossman 271 0.9× 125 0.8× 60 0.4× 129 1.3× 49 0.7× 14 486
Xianyang Lei 331 1.1× 103 0.6× 68 0.5× 78 0.8× 154 2.3× 12 548
Inger Elise Opheim Moljord 309 1.0× 97 0.6× 44 0.3× 39 0.4× 158 2.3× 12 524

Countries citing papers authored by Jeffrey M. Gau

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Gau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Gau. 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 Jeffrey M. Gau. The network helps show where Jeffrey M. Gau may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Gau

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Gau. A scholar is included among the top collaborators of Jeffrey M. Gau 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 Jeffrey M. Gau. Jeffrey M. Gau 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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