Thomas S. Pheiffer

28 total papers · 528 total citations
24 papers, 404 citations indexed

About

Thomas S. Pheiffer is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Thomas S. Pheiffer has authored 24 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Surgery. Recurrent topics in Thomas S. Pheiffer's work include Surgical Simulation and Training (9 papers), Augmented Reality Applications (9 papers) and Robotics and Sensor-Based Localization (8 papers). Thomas S. Pheiffer is often cited by papers focused on Surgical Simulation and Training (9 papers), Augmented Reality Applications (9 papers) and Robotics and Sensor-Based Localization (8 papers). Thomas S. Pheiffer collaborates with scholars based in United States, Romania and Canada. Thomas S. Pheiffer's co-authors include Michael I. Miga, Amber L. Simpson, Reid C. Thompson, Kay Sun, D. Caleb Rucker, Jared A. Weis, Logan W. Clements, Benoît M. Dawant, William R. Jarnagin and Robert J. Webster and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and Medical Physics.

In The Last Decade

Thomas S. Pheiffer

24 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas S. Pheiffer 212 197 129 98 92 24 404
Prashanth Dumpuri 204 1.0× 205 1.0× 102 0.8× 90 0.9× 130 1.4× 24 420
Karen E. Lunn 193 0.9× 235 1.2× 149 1.2× 67 0.7× 70 0.8× 23 410
Ole Vegard Solberg 144 0.7× 167 0.8× 157 1.2× 38 0.4× 141 1.5× 16 416
Neculai Archip 205 1.0× 146 0.7× 200 1.6× 33 0.3× 36 0.4× 23 422
Petter Risholm 229 1.1× 103 0.5× 136 1.1× 52 0.5× 25 0.3× 30 443
Nazim Haouchine 216 1.0× 184 0.9× 40 0.3× 90 0.9× 174 1.9× 29 391
Clifford Ruff 116 0.5× 74 0.4× 83 0.6× 21 0.2× 125 1.4× 22 452
Adam Rankin 177 0.8× 199 1.0× 117 0.9× 64 0.7× 170 1.8× 17 487
Runze Han 120 0.6× 229 1.2× 155 1.2× 23 0.2× 140 1.5× 54 455
James D. Stefansic 160 0.8× 131 0.7× 89 0.7× 70 0.7× 179 1.9× 24 484

Countries citing papers authored by Thomas S. Pheiffer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Pheiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Pheiffer. 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 Thomas S. Pheiffer. The network helps show where Thomas S. Pheiffer may publish in the future.

Co-authorship network of co-authors of Thomas S. Pheiffer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas S. Pheiffer. A scholar is included among the top collaborators of Thomas S. Pheiffer 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 Thomas S. Pheiffer. Thomas S. Pheiffer 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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