Jay P. Overmyer

25 total papers · 517 total citations
17 papers, 400 citations indexed

About

Jay P. Overmyer is a scholar working on Insect Science, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Jay P. Overmyer has authored 17 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 7 papers in Health, Toxicology and Mutagenesis and 5 papers in Pollution. Recurrent topics in Jay P. Overmyer's work include Insect and Pesticide Research (9 papers), Environmental Toxicology and Ecotoxicology (6 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Jay P. Overmyer is often cited by papers focused on Insect and Pesticide Research (9 papers), Environmental Toxicology and Ecotoxicology (6 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Jay P. Overmyer collaborates with scholars based in United States, United Kingdom and Germany. Jay P. Overmyer's co-authors include Kevin L. Armbrust, Aaron T. Fisk, M. Aaron MacNeil, Katy W. Chung, Peter B. Key, Arthur W. Garrison, Marsha C. Black, Helen Thompson, Jimmy K. Avants and Marie E. DeLorenzo and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Jay P. Overmyer

17 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Jay P. Overmyer 199 106 102 97 84 17 400
Henrique M.V.S. Azevedo-Pereira 189 0.9× 83 0.8× 54 0.5× 105 1.1× 86 1.0× 14 333
Annika Agatz 115 0.6× 53 0.5× 183 1.8× 193 2.0× 51 0.6× 22 411
Larry W. Brewer 181 0.9× 127 1.2× 43 0.4× 128 1.3× 98 1.2× 27 401
Julia Corá Segat 86 0.4× 69 0.7× 114 1.1× 113 1.2× 29 0.3× 31 403
Matthias Stähler 193 1.0× 112 1.1× 86 0.8× 55 0.6× 97 1.2× 27 341
Melanie Raby 212 1.1× 75 0.7× 148 1.5× 154 1.6× 90 1.1× 18 412
Vienna Delnat 152 0.8× 31 0.3× 58 0.6× 155 1.6× 51 0.6× 20 352
Christina L. Mogren 228 1.1× 200 1.9× 63 0.6× 86 0.9× 119 1.4× 14 371
G. A. Wheatley 136 0.7× 61 0.6× 45 0.4× 46 0.5× 19 0.2× 28 355
S.W. Shires 202 1.0× 51 0.5× 57 0.6× 92 0.9× 27 0.3× 19 358

Countries citing papers authored by Jay P. Overmyer

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Overmyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Overmyer. 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 Jay P. Overmyer. The network helps show where Jay P. Overmyer may publish in the future.

Co-authorship network of co-authors of Jay P. Overmyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jay P. Overmyer. A scholar is included among the top collaborators of Jay P. Overmyer 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 Jay P. Overmyer. Jay P. Overmyer 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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