David J. Bergman

45 total papers · 1.0k total citations
29 papers, 775 citations indexed

About

David J. Bergman is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Bergman has authored 29 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Bergman's work include Insect and Arachnid Ecology and Behavior (12 papers), Neurobiology and Insect Physiology Research (7 papers) and Plant and animal studies (6 papers). David J. Bergman is often cited by papers focused on Insect and Arachnid Ecology and Behavior (12 papers), Neurobiology and Insect Physiology Research (7 papers) and Plant and animal studies (6 papers). David J. Bergman collaborates with scholars based in Israel, United States and Russia. David J. Bergman's co-authors include Sergey V. Faleev, Mark I. Stockman, Jacob S. Ishay, D. Stroud, Y. Imry, Edgardo Duering, Marian Plotkin, Yakov M. Strelniker, Zahava Barkay and Denis G. Baranov and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Optics Letters.

In The Last Decade

David J. Bergman

28 papers receiving 758 citations

Author Peers

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

Author Last Decade Papers Cites
David J. Bergman 361 253 219 197 106 29 775
Marlous Kamp 277 0.8× 285 1.1× 338 1.5× 105 0.5× 119 1.1× 25 746
Arnab Mukherjee 183 0.5× 90 0.4× 321 1.5× 135 0.7× 87 0.8× 58 907
Dexian Ye 244 0.7× 196 0.8× 363 1.7× 143 0.7× 308 2.9× 29 879
Stephanie N. Gilbert Corder 304 0.8× 154 0.6× 166 0.8× 134 0.7× 206 1.9× 24 762
A. Weddemann 331 0.9× 120 0.5× 236 1.1× 173 0.9× 227 2.1× 31 704
Rupert Tscheließnig 160 0.4× 71 0.3× 154 0.7× 183 0.9× 49 0.5× 39 828
Thomas Henighan 286 0.8× 115 0.5× 168 0.8× 271 1.4× 168 1.6× 18 715
Anupam Sengupta 300 0.8× 306 1.2× 160 0.7× 85 0.4× 180 1.7× 36 874
W. F. Oliver 232 0.6× 191 0.8× 542 2.5× 188 1.0× 233 2.2× 35 906
James M. Polson 352 1.0× 115 0.5× 452 2.1× 166 0.8× 59 0.6× 42 900

Countries citing papers authored by David J. Bergman

Since Specialization
Citations

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

Fields of papers citing papers by David J. Bergman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Bergman. 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 David J. Bergman. The network helps show where David J. Bergman may publish in the future.

Co-authorship network of co-authors of David J. Bergman

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Bergman. A scholar is included among the top collaborators of David J. Bergman 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 David J. Bergman. David J. Bergman 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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