Edgar Rojas-Muñoz

24 papers receiving 278 citations

Peers

Edgar Rojas-Muñoz
Comparison fields: 5 of 54
  • Human-Computer Interaction 61
  • Health Informatics 13
  • Computer Vision and Pattern Recognition 102
  • Surgery 139
  • Anesthesiology and Pain Medicine 7
Replace Daniel S. Andersen with:
Daniel S. Andersen United States
Michael H. Parsons Canada
Irene H. Suh United States
Konrad Leslie Davis United States
Hayeem L. Rudy United States
Ryan Lohre United States
Hillel S. Maresky United States
Martin Eckert Germany
Jingjie Zhao China
Hannah H. Kim South Korea
Edgar Rojas-Muñoz relative to Daniel S. Andersen United States Daniel S. Andersen's profile →
Citations per field
00.5×1.6×
Daniel S. Andersen · 1×
Citations per year

Countries citing papers authored by Edgar Rojas-Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Rojas-Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar Rojas-Muñoz. 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 Edgar Rojas-Muñoz. The network helps show where Edgar Rojas-Muñoz may publish in the future.

Co-authors

The 18 scholars most cited alongside Edgar Rojas-Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edgar Rojas-Muñoz Line = papers co-authored together Edgar Rojas-Muñoz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201847
3 202040
4 202029
5 201824
6 201819
7 201917
8 202012
9 20209
10 20197
11 20236
12 20204
13 20232
14 20232
15 20251
16 20241
17 20201
18 20201
19 20231
20
Augmented Reality Future Step Visualization for Robust Surgical Telementoring
20191

About Edgar Rojas-Muñoz

Edgar Rojas-Muñoz is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Surgery and Health Informatics, having authored 28 papers that have together received 286 indexed citations. Recurring topics across this work include Augmented Reality Applications (9 papers), Surgical Simulation and Training (8 papers), Virtual Reality Applications and Impacts (7 papers), Hearing Impairment and Communication (4 papers), Educational Games and Gamification (3 papers), Tactile and Sensory Interactions (3 papers), Hand Gesture Recognition Systems (3 papers) and Visual and Cognitive Learning Processes (2 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Health Informatics (13 citations), Computer Vision and Pattern Recognition (102 citations), Surgery (139 citations) and Anesthesiology and Pain Medicine (7 citations). Edgar Rojas-Muñoz has collaborated with scholars based in United States, Costa Rica and Pakistan. Frequent co-authors include Juan Pablo Wachs, Voicu S. Popescu, Ben L. Zarzaur, María Eugenia Cabrera, Brian Mullis, Daniel S. Andersen, Chengyuan Lin, Kathryn Murphy Anderson, Dan Andersen and María Eugenia Cabrera. Their work appears in journals such as Annals of Surgery, Pattern Analysis and Applications, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, IEEE Transactions on Human-Machine Systems and Sustainability.

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.

Explore authors with similar magnitude of impact