David N. Ewert

70 total papers · 1.2k total citations
36 papers, 860 citations indexed

About

David N. Ewert is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, David N. Ewert has authored 36 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 12 papers in Nature and Landscape Conservation and 12 papers in Ecological Modeling. Recurrent topics in David N. Ewert's work include Avian ecology and behavior (17 papers), Species Distribution and Climate Change (12 papers) and Ecology and Vegetation Dynamics Studies (11 papers). David N. Ewert is often cited by papers focused on Avian ecology and behavior (17 papers), Species Distribution and Climate Change (12 papers) and Ecology and Vegetation Dynamics Studies (11 papers). David N. Ewert collaborates with scholars based in United States, Puerto Rico and Ireland. David N. Ewert's co-authors include Robert A. Askins, Joseph M. Wunderle, David A. Cimprich, Mark S. Woodrey, Charles D. Duncan, Robert Sutter, David W. Mehlman, Sarah E. Mabey, Dave Currie and Donald E. Kroodsma and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Oecologia.

In The Last Decade

David N. Ewert

34 papers receiving 777 citations

Author Peers

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

Author						Papers	Cites
David N. Ewert	691	253	226	204	198	36	860
Monique MacKenzie	848 1.2×	252 1.0×	134 0.6×	269 1.3×	113 0.6×	24	1.0k
Ryan J. Fisher	641 0.9×	247 1.0×	156 0.7×	187 0.9×	197 1.0×	29	749
James A. Mosher	610 0.9×	274 1.1×	114 0.5×	196 1.0×	164 0.8×	19	789
William V. DeLuca	609 0.9×	216 0.9×	246 1.1×	241 1.2×	101 0.5×	37	801
Reto Spaar	759 1.1×	297 1.2×	250 1.1×	154 0.8×	351 1.8×	28	913
Patryk Rowiński	644 0.9×	365 1.4×	207 0.9×	189 0.9×	337 1.7×	34	854
João Paulo Silva	761 1.1×	254 1.0×	273 1.2×	163 0.8×	207 1.0×	59	966
S. E. Piper	559 0.8×	313 1.2×	185 0.8×	176 0.9×	261 1.3×	30	908
Francesc Sardà‐Palomera	622 0.9×	272 1.1×	196 0.9×	277 1.4×	151 0.8×	41	918
Marta Maziarz	619 0.9×	242 1.0×	183 0.8×	137 0.7×	391 2.0×	39	816

Countries citing papers authored by David N. Ewert

Since Specialization

Citations

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

Fields of papers citing papers by David N. Ewert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Ewert

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