Janet S. Prevéy

74 total papers · 3.1k total citations
26 papers, 588 citations indexed

About

Janet S. Prevéy is a scholar working on Nature and Landscape Conservation, Ecology and Ecological Modeling. According to data from OpenAlex, Janet S. Prevéy has authored 26 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nature and Landscape Conservation, 14 papers in Ecology and 12 papers in Ecological Modeling. Recurrent topics in Janet S. Prevéy's work include Ecology and Vegetation Dynamics Studies (16 papers), Species Distribution and Climate Change (12 papers) and Rangeland and Wildlife Management (9 papers). Janet S. Prevéy is often cited by papers focused on Ecology and Vegetation Dynamics Studies (16 papers), Species Distribution and Climate Change (12 papers) and Rangeland and Wildlife Management (9 papers). Janet S. Prevéy collaborates with scholars based in United States, Switzerland and Canada. Janet S. Prevéy's co-authors include Timothy R. Seastedt, Nancy J. Huntly, Matthew J. Germino, Richard S. Inouye, Constance A. Harrington, Lauren E. Parker, Michael F. Proctor, Clayton T. Lamb, Steven K. Schmidt and Michael S. Robeson and has published in prestigious journals such as PLoS ONE, Ecology and Global Change Biology.

In The Last Decade

Janet S. Prevéy

26 papers receiving 562 citations

Author Peers

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

Author						Papers	Cites
Janet S. Prevéy	375	321	239	146	110	26	588
Brent L. Brock	352 0.9×	337 1.0×	198 0.8×	79 0.5×	120 1.1×	14	585
Jerzy Kolasa	353 0.9×	345 1.1×	238 1.0×	68 0.5×	124 1.1×	22	693
Nina K. Lany	308 0.8×	185 0.6×	148 0.6×	178 1.2×	111 1.0×	21	596
Timo Conradi	207 0.6×	246 0.8×	259 1.1×	103 0.7×	105 1.0×	27	537
Cecilia Blundo	141 0.4×	340 1.1×	193 0.8×	176 1.2×	167 1.5×	20	554
Sarah E. Johnson	269 0.7×	392 1.2×	258 1.1×	62 0.4×	90 0.8×	25	643
Larry Allain	291 0.8×	294 0.9×	156 0.7×	59 0.4×	133 1.2×	19	555
Imelda Somodi	251 0.7×	267 0.8×	159 0.7×	169 1.2×	111 1.0×	34	603
Wubing Xu	185 0.5×	301 0.9×	223 0.9×	192 1.3×	165 1.5×	17	603
Ryan T. Choi	185 0.5×	229 0.7×	135 0.6×	75 0.5×	161 1.5×	17	503

Countries citing papers authored by Janet S. Prevéy

Since Specialization

Citations

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

Fields of papers citing papers by Janet S. Prevéy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet S. Prevéy. 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 Janet S. Prevéy. The network helps show where Janet S. Prevéy may publish in the future.

Co-authorship network of co-authors of Janet S. Prevéy

This figure shows the co-authorship network connecting the top 25 collaborators of Janet S. Prevéy. A scholar is included among the top collaborators of Janet S. Prevéy 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 Janet S. Prevéy. Janet S. Prevéy 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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