Kenneth H. Perrone

23 total papers · 519 total citations
18 papers, 110 citations indexed

About

Kenneth H. Perrone is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Kenneth H. Perrone has authored 18 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Kenneth H. Perrone's work include Surgical Simulation and Training (7 papers), Innovations in Medical Education (4 papers) and Simulation-Based Education in Healthcare (4 papers). Kenneth H. Perrone is often cited by papers focused on Surgical Simulation and Training (7 papers), Innovations in Medical Education (4 papers) and Simulation-Based Education in Healthcare (4 papers). Kenneth H. Perrone collaborates with scholars based in United States. Kenneth H. Perrone's co-authors include Gregory J. Landry, Timothy K. Liem, Amir F. Azarbal, Gregory L. Moneta, Erica L. Mitchell, Jeffrey D. Crawford, Victor W. Wong, Carla M. Pugh, Marcus R. Kret and Enjae Jung and has published in prestigious journals such as Journal of Vascular Surgery, Academic Medicine and The American Journal of Surgery.

In The Last Decade

Kenneth H. Perrone

17 papers receiving 102 citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth H. Perrone 75 58 25 18 15 18 110
Taichiro Tsunoyama 98 1.3× 32 0.6× 15 0.6× 24 1.3× 11 0.7× 19 144
Calógero Presti 47 0.6× 49 0.8× 48 1.9× 18 1.0× 9 0.6× 18 120
Boris Lams 80 1.1× 45 0.8× 67 2.7× 10 0.6× 12 0.8× 19 148
A.L. D'Abreu 49 0.7× 78 1.3× 30 1.2× 52 2.9× 7 0.5× 18 140
J. Hewitson 42 0.6× 51 0.9× 19 0.8× 56 3.1× 19 1.3× 13 140
Conor Toale 78 1.0× 21 0.4× 70 2.8× 5 0.3× 19 1.3× 27 148
A Vaillant 72 1.0× 63 1.1× 37 1.5× 24 1.3× 3 0.2× 17 119
Jenny Mitchell 48 0.6× 50 0.9× 20 0.8× 12 0.7× 7 0.5× 18 121
Adarsh Katamreddy 40 0.5× 17 0.3× 32 1.3× 31 1.7× 10 0.7× 19 98
Wataru Takayama 42 0.6× 27 0.5× 12 0.5× 19 1.1× 6 0.4× 23 132

Countries citing papers authored by Kenneth H. Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Perrone. 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 Kenneth H. Perrone. The network helps show where Kenneth H. Perrone may publish in the future.

Co-authorship network of co-authors of Kenneth H. Perrone

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Perrone. A scholar is included among the top collaborators of Kenneth H. Perrone 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 Kenneth H. Perrone. Kenneth H. Perrone 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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