David J. Larson

38 total papers · 596 total citations
25 papers, 453 citations indexed

About

David J. Larson is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, David J. Larson has authored 25 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Insect Science. Recurrent topics in David J. Larson's work include Coleoptera Taxonomy and Distribution (7 papers), Forest Insect Ecology and Management (7 papers) and Lepidoptera: Biology and Taxonomy (5 papers). David J. Larson is often cited by papers focused on Coleoptera Taxonomy and Distribution (7 papers), Forest Insect Ecology and Management (7 papers) and Lepidoptera: Biology and Taxonomy (5 papers). David J. Larson collaborates with scholars based in Canada, United States and Australia. David J. Larson's co-authors include Samuel S. Chan, Paul Anderson, William H. Emmingham, Ian D. Thompson, William A. Montevecchi, J. Glenn Songer, Robert D. Glock, Karen W. Post, B. Helen Jost and Anne E. Storey and has published in prestigious journals such as Forest Ecology and Management, Journal of Phycology and Canadian Journal of Forest Research.

In The Last Decade

David J. Larson

25 papers receiving 396 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. Larson 211 172 145 124 95 25 453
Joe C. Scanlan 176 0.8× 50 0.3× 105 0.7× 81 0.7× 127 1.3× 36 525
Jiawu Xu 179 0.8× 73 0.4× 58 0.4× 78 0.6× 102 1.1× 20 537
Jerry Moxley 214 1.0× 122 0.7× 130 0.9× 65 0.5× 137 1.4× 15 407
Tadeusz Zając 320 1.5× 142 0.8× 44 0.3× 85 0.7× 100 1.1× 42 430
Takumi Akasaka 310 1.5× 174 1.0× 127 0.9× 23 0.2× 108 1.1× 35 479
Kendra L. Lawrence 132 0.6× 119 0.7× 51 0.4× 234 1.9× 202 2.1× 17 545
Tanjona Ramiadantsoa 157 0.7× 115 0.7× 172 1.2× 16 0.1× 54 0.6× 20 448
R. Max Segnitz 102 0.5× 190 1.1× 71 0.5× 61 0.5× 105 1.1× 11 532
René López Camacho 77 0.4× 136 0.8× 151 1.0× 129 1.0× 63 0.7× 35 524
Yukihiro Kohmatsu 268 1.3× 183 1.1× 93 0.6× 17 0.1× 89 0.9× 34 501

Countries citing papers authored by David J. Larson

Since Specialization
Citations

This map shows the geographic impact of David J. Larson'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. Larson 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. Larson more than expected).

Fields of papers citing papers by David J. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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