David M. Armstrong

49 total papers · 843 total citations
26 papers, 622 citations indexed

About

David M. Armstrong is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, David M. Armstrong has authored 26 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 6 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Ecological Modeling. Recurrent topics in David M. Armstrong's work include Wildlife Ecology and Conservation (10 papers), Species Distribution and Climate Change (6 papers) and Rangeland and Wildlife Management (6 papers). David M. Armstrong is often cited by papers focused on Wildlife Ecology and Conservation (10 papers), Species Distribution and Climate Change (6 papers) and Rangeland and Wildlife Management (6 papers). David M. Armstrong collaborates with scholars based in United States and Australia. David M. Armstrong's co-authors include J. Knox Jones, Clyde Jones, Robert S. Hoffman, Robert M. Timm, Eugene Chang, Donna Johnson, Wei Wang, Christopher Robinson, Jerrold Levinson and Elmer C. Birney and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Systematic Biology and Journal of Wildlife Management.

In The Last Decade

David M. Armstrong

25 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
David M. Armstrong	359	140	107	99	95	26	622
Laura D. Bertola	313 0.9×	75 0.5×	24 0.2×	42 0.4×	119 1.3×	37	664
Lauren G. Shoemaker	249 0.7×	201 1.4×	28 0.3×	212 2.1×	109 1.1×	32	598
Jessica Kemper	319 0.9×	199 1.4×	53 0.5×	269 2.7×	50 0.5×	21	642
Alexander F. Flemming	187 0.5×	325 2.3×	41 0.4×	187 1.9×	86 0.9×	35	580
Andrea S. Putnam	193 0.5×	83 0.6×	5 0.0×	72 0.7×	74 0.8×	17	615
Matthew Schrader	222 0.6×	274 2.0×	12 0.1×	183 1.8×	13 0.1×	39	614
Tina Jørgensen	267 0.7×	103 0.7×	110 1.0×	13 0.1×	33 0.3×	20	701
Gary G. Kwiecinski	175 0.5×	347 2.5×	12 0.1×	12 0.1×	81 0.9×	35	707
Faith M. Walker	442 1.2×	183 1.3×	8 0.1×	54 0.5×	126 1.3×	40	666
Robert Makowsky	77 0.2×	117 0.8×	5 0.0×	73 0.7×	46 0.5×	28	706

Countries citing papers authored by David M. Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by David M. Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Armstrong

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