Katelin D. Pearson

36 total papers · 796 total citations
11 papers, 468 citations indexed

About

Katelin D. Pearson is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Katelin D. Pearson has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecological Modeling, 9 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecology. Recurrent topics in Katelin D. Pearson's work include Species Distribution and Climate Change (11 papers), Plant and animal studies (9 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Katelin D. Pearson is often cited by papers focused on Species Distribution and Climate Change (11 papers), Plant and animal studies (9 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Katelin D. Pearson collaborates with scholars based in United States, France and Poland. Katelin D. Pearson's co-authors include Elizabeth R. Ellwood, Susan J. Mazer, Pamela S. Soltis, Gil Nelson, Charles C. Davis, Jenn Yost, Richard B. Primack, Amanda S. Gallinat, Tim H. Sparks and Charles G. Willis and has published in prestigious journals such as Trends in Ecology & Evolution, BioScience and American Journal of Botany.

In The Last Decade

Katelin D. Pearson

11 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
Katelin D. Pearson	301	272	160	151	125	11	468
Jenn Yost	171 0.6×	227 0.8×	98 0.6×	150 1.0×	128 1.0×	19	409
Arthur D. Chapman	218 0.7×	161 0.6×	122 0.8×	123 0.8×	123 1.0×	24	482
Emad Kaky	380 1.3×	139 0.5×	202 1.3×	179 1.2×	57 0.5×	10	503
Dora Ann Lange Canhos	305 1.0×	172 0.6×	152 0.9×	130 0.9×	60 0.5×	19	513
L. Alan Prather	160 0.5×	298 1.1×	90 0.6×	93 0.6×	232 1.9×	25	515
Mariane S. Sousa‐Baena	144 0.5×	193 0.7×	65 0.4×	122 0.8×	102 0.8×	20	418
Graham W. Hopkins	165 0.5×	187 0.7×	216 1.4×	145 1.0×	73 0.6×	12	480
Alexander E. White	215 0.7×	135 0.5×	194 1.2×	144 1.0×	43 0.3×	16	519
Victoria Nolan	258 0.9×	84 0.3×	171 1.1×	137 0.9×	46 0.4×	16	409
Jorge Velásquez‐Tibatá	357 1.2×	108 0.4×	257 1.6×	209 1.4×	64 0.5×	18	529

Countries citing papers authored by Katelin D. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Katelin D. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelin D. Pearson. 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 Katelin D. Pearson. The network helps show where Katelin D. Pearson may publish in the future.

Co-authorship network of co-authors of Katelin D. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Katelin D. Pearson. A scholar is included among the top collaborators of Katelin D. Pearson 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 Katelin D. Pearson. Katelin D. Pearson 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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