Kevin M. Terrell

19 total papers · 966 total citations
14 papers, 724 citations indexed

About

Kevin M. Terrell is a scholar working on Emergency Medicine, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Kevin M. Terrell has authored 14 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Emergency Medicine, 4 papers in General Health Professions and 4 papers in Geriatrics and Gerontology. Recurrent topics in Kevin M. Terrell's work include Emergency and Acute Care Studies (9 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Geriatric Care and Nursing Homes (4 papers). Kevin M. Terrell is often cited by papers focused on Emergency and Acute Care Studies (9 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Geriatric Care and Nursing Homes (4 papers). Kevin M. Terrell collaborates with scholars based in United States. Kevin M. Terrell's co-authors include Douglas K. Miller, Siu L. Hui, Ula Hwang, Lowell W. Gerson, Anthony J. Perkins, Paul Dexter, Christopher M. Callahan, Kennon Heard, Christopher S. Weaver and Fredric M. Hustey and has published in prestigious journals such as Journal of the American Geriatrics Society, Annals of Emergency Medicine and Academic Emergency Medicine.

In The Last Decade

Kevin M. Terrell

14 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin M. Terrell 367 249 213 136 85 14 724
Kevin Biese 592 1.6× 324 1.3× 161 0.8× 127 0.9× 25 0.3× 49 903
A. Ménard 227 0.6× 212 0.9× 269 1.3× 78 0.6× 53 0.6× 29 818
Azita G. Hamedani 350 1.0× 147 0.6× 67 0.3× 144 1.1× 64 0.8× 46 796
Maya Kessler 218 0.6× 261 1.0× 116 0.5× 68 0.5× 37 0.4× 8 671
Giulio Toccafondi 169 0.5× 243 1.0× 61 0.3× 96 0.7× 28 0.3× 18 717
Deirdre K. Thornlow 213 0.6× 273 1.1× 50 0.2× 85 0.6× 63 0.7× 30 687
Mark I. Taragin 220 0.6× 346 1.4× 63 0.3× 75 0.6× 77 0.9× 26 870
Charles D. Peterson 315 0.9× 106 0.4× 154 0.7× 89 0.7× 31 0.4× 37 769
Maureen Fahey 237 0.6× 220 0.9× 54 0.3× 97 0.7× 50 0.6× 20 717
Leah L. Shever 88 0.2× 212 0.9× 75 0.4× 69 0.5× 50 0.6× 25 642

Countries citing papers authored by Kevin M. Terrell

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Terrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Terrell

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