David Han
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
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- Ultrasound in Clinical Applications
Papers in
- Surgery 21
- Surgical Simulation and Training 8
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- Reliability and Maintenance Optimization 17
- Co-authors
- David P. Franklin (7 shared papers)James R. Elmore (7 shared papers)Jason M. Johanning (4 shared papers)Debasis Kundu (1 shared paper)Kenneth Blum (16 shared papers)David V. Feliciano (3 shared papers)Judith A. Schmidt (2 shared papers)David J. Carey (3 shared papers)
- Journals
- Journal of Surgical Research (7 papers)Journal of Vascular Surgery (6 papers)PLoS ONE (4 papers)Annals of Vascular Surgery (4 papers)Journal of Personalized Medicine (4 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
David Han
122 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 165
- Statistics and Probability 230
- Critical Care and Intensive Care Medicine 113
- Statistics, Probability and Uncertainty 182
- Emergency Medicine 155
- Safety, Risk, Reliability and Quality 164
Countries citing papers authored by David Han
This map shows the geographic impact of David Han'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 David Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Han more than expected).
Fields of papers citing papers by David Han
This network shows the impact of papers produced by David Han. 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 David Han. The network helps show where David Han may publish in the future.
Co-authors
The 25 scholars most cited alongside David Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 209 | |
| 2 | 2004 | 101 | |
| 3 | 2014 | 88 | |
| 4 | 2013 | 82 | |
| 5 | 2014 | 80 | |
| 6 | 1998 | 76 | |
| 7 | 2001 | 67 | |
| 8 | 2002 | 67 | |
| 9 | 2014 | 55 | |
| 10 | 2001 | 53 | |
| 11 | 1996 | 51 | |
| 12 | 2002 | 49 | |
| 13 | 2015 | 48 | |
| 14 | 2002 | 45 | |
| 15 | 2013 | 44 | |
| 16 | 2001 | 38 | |
| 17 | 2003 | 38 | |
| 18 | 2014 | 36 | |
| 19 | 2001 | 33 | |
| 20 | 2017 | 32 |
About David Han
David Han is a scholar working on Surgery, Safety, Risk, Reliability and Quality, Statistics and Probability, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 129 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (17 papers), Statistical Distribution Estimation and Applications (17 papers), Probabilistic and Robust Engineering Design (10 papers), Central Venous Catheters and Hemodialysis (9 papers), Vascular Procedures and Complications (8 papers), Multi-Agent Systems and Negotiation (8 papers), Surgical Simulation and Training (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Statistics and Probability (230 citations), Critical Care and Intensive Care Medicine (113 citations), Statistics, Probability and Uncertainty (182 citations), Emergency Medicine (155 citations) and Safety, Risk, Reliability and Quality (164 citations). David Han has collaborated with scholars based in United States, India and Canada. Frequent co-authors include David P. Franklin, James R. Elmore, Jason M. Johanning, Debasis Kundu, Kenneth Blum, David V. Feliciano, Judith A. Schmidt, David J. Carey, Hon Keung Tony Ng and Scarlett R. Miller. Their work appears in journals such as Journal of Surgical Research, Journal of Vascular Surgery, PLoS ONE, Annals of Vascular Surgery and Journal of Personalized Medicine.
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.