James T. Costa

73 total papers · 1.5k total citations
43 papers, 970 citations indexed

About

James T. Costa is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, James T. Costa has authored 43 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 25 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Insect Science. Recurrent topics in James T. Costa's work include Plant and animal studies (22 papers), Insect and Arachnid Ecology and Behavior (21 papers) and Evolution and Science Education (9 papers). James T. Costa is often cited by papers focused on Plant and animal studies (22 papers), Insect and Arachnid Ecology and Behavior (21 papers) and Evolution and Science Education (9 papers). James T. Costa collaborates with scholars based in United States, United Kingdom and France. James T. Costa's co-authors include Terrence D. Fitzgerald, Kenneth G. Ross, DeWayne Shoemaker, Mathieu Lihoreau, Colette Rivault, Elizabeth A. Kellogg, Andrew J. Berry, Frederick M. Ausubel, Konrad Fiedler and D. A. Crossley and has published in prestigious journals such as Nature, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

James T. Costa

38 papers receiving 936 citations

Author Peers

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

Author Last Decade Papers Cites
James T. Costa 685 648 328 150 106 43 970
Jessica Purcell 797 1.2× 849 1.3× 348 1.1× 108 0.7× 73 0.7× 58 1.2k
Lisa M. Meffert 530 0.8× 640 1.0× 251 0.8× 141 0.9× 65 0.6× 35 969
R. H. Hagen 701 1.0× 628 1.0× 276 0.8× 77 0.5× 103 1.0× 40 904
Miriam H. Richards 673 1.0× 615 0.9× 492 1.5× 133 0.9× 61 0.6× 39 898
Eisuke Hasegawa 873 1.3× 883 1.4× 548 1.7× 89 0.6× 95 0.9× 83 1.1k
Og DeSouza 625 0.9× 572 0.9× 281 0.9× 122 0.8× 100 0.9× 58 911
Margarida Matos 495 0.7× 600 0.9× 276 0.8× 366 2.4× 90 0.8× 62 1.2k
Yoshitaka Kamimura 901 1.3× 714 1.1× 303 0.9× 127 0.8× 71 0.7× 71 1.1k
Eliot B. Spiess 616 0.9× 568 0.9× 304 0.9× 141 0.9× 123 1.2× 71 1.0k
David A. S. Smith 857 1.3× 667 1.0× 344 1.0× 102 0.7× 162 1.5× 66 1.2k

Countries citing papers authored by James T. Costa

Since Specialization
Citations

This map shows the geographic impact of James T. Costa'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 James T. Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Costa more than expected).

Fields of papers citing papers by James T. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Costa. 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 James T. Costa. The network helps show where James T. Costa may publish in the future.

Co-authorship network of co-authors of James T. Costa

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Costa. A scholar is included among the top collaborators of James T. Costa 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 James T. Costa. James T. Costa 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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