Neal E. Seymour

5.6k citations
92 papers · 4.2k indexed · 1 hit paper · h-index 25
Topics
Surgical Simulation and Training (49 papers)Anatomy and Medical Technology (25 papers)Simulation-Based Education in Healthcare (15 papers)

In The Last Decade

Neal E. Seymour

88 papers receiving 4.0k citations

Hit Papers

Virtual Reality Training Improves Operating Room Performance2002202620102018200250010001.5k2.0k

Peers

Neal E. Seymour
Comparison fields: 5 of 135
  • Surgery 3.3k
  • Biomedical Engineering 1.6k
  • Physiology 1.1k
  • Public Health, Environmental and Occupational Health 694
  • Computer Vision and Pattern Recognition 670
Replace Michael O’Brien with:
Michael O’Brien United States
Adam Dubrowski Canada
Steven D. Schwaitzberg United States
Daniel J. Scott United States
Fernando Bello United Kingdom
C. Daniel Smith United States
Anthony G. Gallagher United States
Carla M. Pugh United States
Li Felländer‐Tsai Sweden
Marvin P. Fried United States
Neal E. Seymour relative to Michael O’Brien United States Michael O’Brien's profile →
Citations per field
00.5×1.5×1.8×
Michael O’Brien · 1×
Citations per year

Countries citing papers authored by Neal E. Seymour

Since Specialization
Citations

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

Fields of papers citing papers by Neal E. Seymour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neal E. Seymour. 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 Neal E. Seymour. The network helps show where Neal E. Seymour may publish in the future.

Co-authorship network of co-authors of Neal E. Seymour

This figure shows the co-authorship network connecting the top 25 collaborators of Neal E. Seymour. A scholar is included among the top collaborators of Neal E. Seymour 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 Neal E. Seymour. Neal E. Seymour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 4
6 17
7 4
8 16
9 115
10 131
11 21
12 17
13 40
14 63
15 16
16 60
17 86
18
Virtual Reality Training Improves Operating Room Performancebreakdown →
2115
19 11
20 22

About Neal E. Seymour

Neal E. Seymour is a scholar working on Surgery, Health Informatics and Cardiology and Cardiovascular Medicine, having authored 92 papers that have together received 4.2k indexed citations. Recurring topics across this work include Surgical Simulation and Training (49 papers), Anatomy and Medical Technology (25 papers) and Simulation-Based Education in Healthcare (15 papers). The work is most often cited by research in Surgery (3.3k citations), Human-Computer Interaction (279 citations) and Physiology (1.1k citations). Neal E. Seymour has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard M. Satava, Anthony G. Gallagher, Dana K. Andersen, Sanziana A. Roman, Michael O’Brien, Vipin Bansal, Gladys Fernandez, David Earle, Robert L. Bell and Richard B. Wait. Their work appears in journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Annals of Surgery.

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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