Paul T. Diamond

46 total papers · 917 total citations
30 papers, 718 citations indexed

About

Paul T. Diamond is a scholar working on Epidemiology, Neurology and Rehabilitation. According to data from OpenAlex, Paul T. Diamond has authored 30 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Neurology and 7 papers in Rehabilitation. Recurrent topics in Paul T. Diamond's work include Traumatic Brain Injury Research (6 papers), Stroke Rehabilitation and Recovery (6 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Paul T. Diamond is often cited by papers focused on Traumatic Brain Injury Research (6 papers), Stroke Rehabilitation and Recovery (6 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Paul T. Diamond collaborates with scholars based in United States, India and Canada. Paul T. Diamond's co-authors include Stephen N. Macciocchi, Shawn D. Gale, G Felsenthal, Wayne M. Alves, Donna Butler, Richard J. Adams, Matthew D. Lichter, Suzanne Holroyd, Mark R. Conaway and Kiran Bhirangi and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, The Journal of Arthroplasty and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Paul T. Diamond

29 papers receiving 681 citations

Author Peers

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

Author Last Decade Papers Cites
Paul T. Diamond 245 226 153 135 110 30 718
Murray E. Brandstater 263 1.1× 216 1.0× 144 0.9× 271 2.0× 118 1.1× 41 872
Yen‐Ho Wang 219 0.9× 149 0.7× 217 1.4× 95 0.7× 104 0.9× 36 888
Chris Sherwood 252 1.0× 265 1.2× 143 0.9× 80 0.6× 96 0.9× 18 761
Michael W. OʼDell 246 1.0× 204 0.9× 188 1.2× 178 1.3× 67 0.6× 25 674
Noel Rao 232 0.9× 236 1.0× 278 1.8× 215 1.6× 62 0.6× 33 717
Yen-Nung Lin 282 1.2× 111 0.5× 124 0.8× 65 0.5× 139 1.3× 57 690
Mark Delargy 168 0.7× 215 1.0× 230 1.5× 140 1.0× 71 0.6× 31 810
Allan J. Kozlowski 271 1.1× 139 0.6× 207 1.4× 80 0.6× 67 0.6× 41 763
Sara S. Salles 285 1.2× 169 0.7× 148 1.0× 176 1.3× 66 0.6× 20 682
Bernardo Gialanella 264 1.1× 198 0.9× 114 0.7× 60 0.4× 158 1.4× 40 669

Countries citing papers authored by Paul T. Diamond

Since Specialization
Citations

This map shows the geographic impact of Paul T. Diamond'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 Paul T. Diamond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul T. Diamond more than expected).

Fields of papers citing papers by Paul T. Diamond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul T. Diamond. 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 Paul T. Diamond. The network helps show where Paul T. Diamond may publish in the future.

Co-authorship network of co-authors of Paul T. Diamond

This figure shows the co-authorship network connecting the top 25 collaborators of Paul T. Diamond. A scholar is included among the top collaborators of Paul T. Diamond 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 Paul T. Diamond. Paul T. Diamond 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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