David M. Selkowitz

24 total papers · 811 total citations
17 papers, 574 citations indexed

About

David M. Selkowitz is a scholar working on Biomedical Engineering, Surgery and Pharmacology. According to data from OpenAlex, David M. Selkowitz has authored 17 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Surgery and 4 papers in Pharmacology. Recurrent topics in David M. Selkowitz's work include Muscle activation and electromyography studies (6 papers), Lower Extremity Biomechanics and Pathologies (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). David M. Selkowitz is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Lower Extremity Biomechanics and Pathologies (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). David M. Selkowitz collaborates with scholars based in United States and Canada. David M. Selkowitz's co-authors include George J. Beneck, Christopher M. Powers, John M. Popovich, Kornelia Kulig, Sean P. Flanagan, Michelle Cameron, Carolee J. Winstein, Arya Nick Shamie, Mark J. Spoonamore and Srinath Samudrala and has published in prestigious journals such as The American Journal of Sports Medicine, Physical Therapy and Journal of Orthopaedic and Sports Physical Therapy.

In The Last Decade

David M. Selkowitz

16 papers receiving 516 citations

Author Peers

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

Author						Papers	Cites
David M. Selkowitz	347	240	230	110	74	17	574
Deborah M. Stetts	195 0.6×	227 0.9×	240 1.0×	117 1.1×	48 0.6×	13	522
Henrik Baare Olsen	266 0.8×	141 0.6×	126 0.5×	252 2.3×	22 0.3×	23	606
Dongwon Suh	217 0.6×	118 0.5×	182 0.8×	49 0.4×	66 0.9×	14	631
Tien‐Wen Chen	187 0.5×	245 1.0×	229 1.0×	131 1.2×	42 0.6×	24	681
Jean P. Boucher	268 0.8×	99 0.4×	181 0.8×	152 1.4×	37 0.5×	25	687
V. Fialka	141 0.4×	261 1.1×	137 0.6×	102 0.9×	18 0.2×	20	643
Jaclyn E. Balter	315 0.9×	286 1.2×	67 0.3×	54 0.5×	40 0.5×	12	648
Kraft Gh	149 0.4×	218 0.9×	52 0.2×	104 0.9×	72 1.0×	23	590
Thomas P. Mayhew	185 0.5×	113 0.5×	186 0.8×	133 1.2×	32 0.4×	16	520
Romildo Don	155 0.4×	221 0.9×	218 0.9×	65 0.6×	28 0.4×	15	696

Countries citing papers authored by David M. Selkowitz

Since Specialization

Citations

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

Fields of papers citing papers by David M. Selkowitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Selkowitz

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