Irene H. Suh
- Health Informatics top 10%
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts 1
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- Surgical Simulation and Training 20
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- Augmented Reality Applications 7
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- Anatomy and Medical Technology 12
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- Cardiac, Anesthesia and Surgical Outcomes 4
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- Simulation-Based Education in Healthcare 2
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- Spine and Intervertebral Disc Pathology 2
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- Motor Control and Adaptation 1
- Co-authors
- Ka‐Chun SiuDmitry OleynikovMukul MukherjeeNicholas StergiouJung Hung ChienChad A. LaGrangeBhavin C. ShahSrikant Vallabhajosula
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Irene H. Suh
18 papers receiving 261 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 12
- Human-Computer Interaction 29
- Surgery 166
- Computer Vision and Pattern Recognition 61
- Critical Care and Intensive Care Medicine 13
Countries citing papers authored by Irene H. Suh
This map shows the geographic impact of Irene H. Suh'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 Irene H. Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene H. Suh more than expected).
Fields of papers citing papers by Irene H. Suh
This network shows the impact of papers produced by Irene H. Suh. 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 Irene H. Suh. The network helps show where Irene H. Suh may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Irene H. Suh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 44 | |
| 4 | 2015 | 9 | |
| 5 | 2013 | 3 | |
| 6 | 2013 | 4 | |
| 7 | 2012 | 2 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 0 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 31 | |
| 12 | Modeling surgical skill learning with cognitive simulation. | 2011 | 3 |
| 13 | 2011 | 4 | |
| 14 | 2010 | 24 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 5 | |
| 17 | 2010 | 47 | |
| 18 | 2009 | 44 | |
| 19 | 2009 | 8 | |
| 20 | 2009 | 3 |
About Irene H. Suh
Irene H. Suh is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 20 papers that have together received 274 indexed citations. Recurring topics across this work include Surgical Simulation and Training (20 papers), Anatomy and Medical Technology (12 papers), Augmented Reality Applications (7 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Simulation-Based Education in Healthcare (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Virtual Reality Applications and Impacts (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Health Informatics (12 citations), Human-Computer Interaction (29 citations) and Surgery (166 citations). Irene H. Suh has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Ka‐Chun Siu, Dmitry Oleynikov, Mukul Mukherjee, Nicholas Stergiou, Jung Hung Chien, Chad A. LaGrange, Bhavin C. Shah, Srikant Vallabhajosula, Timothy N. Judkins and Victoria A. Nelson. Their work appears in journals such as Surgical Innovation, The Journal of Urology, Electronics, Surgery and International Journal of Medical Robotics and Computer Assisted 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.