Kevin W. Greve

136 total papers · 5.9k total citations
115 papers, 4.5k citations indexed

About

Kevin W. Greve is a scholar working on Epidemiology, Neurology and Emergency Medicine. According to data from OpenAlex, Kevin W. Greve has authored 115 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Epidemiology, 37 papers in Neurology and 27 papers in Emergency Medicine. Recurrent topics in Kevin W. Greve's work include Traumatic Brain Injury Research (68 papers), Traumatic Brain Injury and Neurovascular Disturbances (36 papers) and Musculoskeletal pain and rehabilitation (26 papers). Kevin W. Greve is often cited by papers focused on Traumatic Brain Injury Research (68 papers), Traumatic Brain Injury and Neurovascular Disturbances (36 papers) and Musculoskeletal pain and rehabilitation (26 papers). Kevin W. Greve collaborates with scholars based in United States and Netherlands. Kevin W. Greve's co-authors include Kevin J. Bianchini, Charles W. Mathias, Kelly L. Curtis, Matthew T. Heinly, Jonathan S. Ord, Rebecca J. Houston, Jeffrey M. Love, Joseph L. Etherton, Adrianne Brennan and Matthew S. Stanford and has published in prestigious journals such as Psychological Bulletin, Journal of Consulting and Clinical Psychology and Neuropsychologia.

In The Last Decade

Kevin W. Greve

115 papers receiving 4.2k 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 W. Greve 2.5k 1.1k 1.1k 975 887 115 4.5k
Laurence M. Binder 2.7k 1.1× 1.4k 1.2× 787 0.7× 889 0.9× 1.4k 1.6× 79 4.7k
Jerry J. Sweet 2.1k 0.8× 1.0k 0.9× 858 0.8× 767 0.8× 584 0.7× 116 4.1k
Lisa J. Rapport 1.6k 0.6× 1.4k 1.2× 1.0k 1.0× 1.2k 1.2× 474 0.5× 121 4.7k
Tamara Ownsworth 2.5k 1.0× 1.4k 1.2× 937 0.9× 602 0.6× 488 0.6× 187 5.1k
George P. Prigatano 3.3k 1.3× 1.9k 1.7× 877 0.8× 1.9k 1.9× 1.4k 1.5× 164 6.5k
Wiley Mittenberg 2.6k 1.0× 848 0.7× 772 0.7× 573 0.6× 1.2k 1.3× 93 3.8k
Jane L. Mathias 1.5k 0.6× 1.1k 1.0× 619 0.6× 826 0.8× 950 1.1× 106 5.0k
Glenn Curtiss 2.6k 1.0× 1.7k 1.5× 1.2k 1.1× 1.5k 1.6× 1.6k 1.8× 72 5.9k
Glenn J. Larrabee 3.8k 1.5× 2.4k 2.1× 1.0k 1.0× 1.9k 1.9× 1.4k 1.6× 135 7.0k
Robyn Tate 4.0k 1.6× 1.8k 1.6× 1.5k 1.4× 1.3k 1.3× 1.3k 1.4× 171 7.2k

Countries citing papers authored by Kevin W. Greve

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Greve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin W. Greve

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