David Han

129 papers receiving 2.4k citations

Peers

David Han
Comparison fields: 5 of 171
  • Critical Care and Intensive Care Medicine 125
  • Statistics and Probability 232
  • Statistics, Probability and Uncertainty 184
  • Emergency Medicine 177
  • Safety, Risk, Reliability and Quality 164
Replace Stéphane Héritier with:
Stéphane Héritier Australia
Timothy Collier United Kingdom
Leonid Churilov Australia
Jan Terje Kvaløy Norway
Dennis B. Gillings United States
Xiaofeng Wang United States
Shigeyuki Matsui Japan
Yan Ma United States
Danh V. Nguyen United States
Stefan Wellek Germany
David Han relative to Stéphane Héritier Australia Stéphane Héritier's profile →
Citations per field
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Stéphane Héritier · 1×
Citations per year

Countries citing papers authored by David Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999239
2 2014111
3 2004104
4 201385
5 201482
6 201481
7 199876
8 200270
9 200168
10 201459
11 201156
12 200156
13 199652
14 201351
15 200251
16 200249
17 201749
18 201548
19 200346
20 201344

About David Han

David Han is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Safety, Risk, Reliability and Quality, Statistics and Probability and Artificial Intelligence, having authored 140 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (17 papers), Statistical Distribution Estimation and Applications (17 papers), Multi-Agent Systems and Negotiation (13 papers), Probabilistic and Robust Engineering Design (10 papers), Vascular Procedures and Complications (9 papers), Central Venous Catheters and Hemodialysis (9 papers), Surgical Simulation and Training (8 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (125 citations), Statistics and Probability (232 citations), Statistics, Probability and Uncertainty (184 citations), Emergency Medicine (177 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 James R. Elmore, David P. Franklin, Kenneth Blum, Jason M. Johanning, David V. Feliciano, Debasis Kundu, Judith A. Schmidt, David J. Carey, Jason Z. Moore and Scarlett R. Miller. Their work appears in journals such as Journal of Surgical Research, Journal of Vascular Surgery, Annals of Vascular Surgery, PLoS ONE 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.

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