David C. Han

129 papers receiving 2.5k citations

Peers

David C. Han
Comparison fields: 5 of 173
  • Critical Care and Intensive Care Medicine 134
  • Statistics and Probability 245
  • Statistics, Probability and Uncertainty 185
  • Emergency Medicine 181
  • Safety, Risk, Reliability and Quality 167
Replace Jan Terje Kvaløy with:
Jan Terje Kvaløy Norway
Wensheng Guo United States
James C. Miller United States
Dennis B. Gillings United States
Véronique De Keyser Belgium
Xiaofeng Wang United States
Yan Ma United States
Valerie Durkalski United States
Paul D. Docherty New Zealand
Maryse C. Cnossen Netherlands
David C. Han relative to Jan Terje Kvaløy Norway Jan Terje Kvaløy's profile →
Citations per field
00.5×2×4×6.7×
Jan Terje Kvaløy · 1×
Citations per year

Countries citing papers authored by David C. Han

Since Specialization
Citations

This map shows the geographic impact of David C. 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 C. 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 C. Han more than expected).

Fields of papers citing papers by David C. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. 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 C. Han. The network helps show where David C. Han may publish in the future.

Co-authors

The 25 scholars most cited alongside David C. 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 C. Han Line = papers co-authored together David C. Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999248
2 2014115
3 2004104
4 201389
5 201487
6 201484
7 199878
8 200275
9 200170
10 201460
11 201157
12 200156
13 201354
14 199653
15 200251
16 201551
17 200251
18 201751
19 200348
20 201345

About David C. Han

David C. Han is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Emergency Medical Services and Pulmonary and Respiratory Medicine, having authored 141 papers that have together received 2.7k 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), Central Venous Catheters and Hemodialysis (9 papers), Vascular Procedures and Complications (9 papers), Logic, Reasoning, and Knowledge (8 papers) and Surgical Simulation and Training (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (134 citations), Statistics and Probability (245 citations), Statistics, Probability and Uncertainty (185 citations), Emergency Medicine (181 citations) and Safety, Risk, Reliability and Quality (167 citations). David C. Han has collaborated with scholars based in United States, India and Canada. Frequent co-authors include David P. Franklin, James R. Elmore, Kenneth Blum, Jason Michael Johanning, Debasis Kundu, David V. Feliciano, 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, Journal of Personalized Medicine and PLoS ONE.

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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