Thomas Greene

451 citations
21 papers · 285 indexed · h-index 10

Impact in

Papers in

Thomas Greene

20 papers receiving 275 citations

Peers

Thomas Greene
Comparison fields: 5 of 66
  • Critical Care and Intensive Care Medicine 65
  • Emergency Medicine 89
  • Virology 38
  • Microbiology 42
  • Statistics and Probability 27
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Ann M. Buchanan United States
Tarquin Collis United States
Amélie Menard France
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Mehmet Boşnak Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Greene

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Greene. 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 Thomas Greene. The network helps show where Thomas Greene may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 199749
3 201732
4 199628
5 202128
6 202022
7 200913
8 202011
9 201710
10 202110
11 20237
12 20206
13 20216
14 20184
15 20193
16 20202
17 20182
18
Generalized Propensity Score Cumulative Distribution Function [R package GPSCDF version 0.1.1]
20191
19
Utilizing Propensity Score Methods for Ordinal Treatments and Prehospital Trauma Studies
20171
20 19951

About Thomas Greene

Thomas Greene is a scholar working on Emergency Medicine, Statistics and Probability, Infectious Diseases, Critical Care and Intensive Care Medicine and Surgery, having authored 21 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers), Trauma and Emergency Care Studies (3 papers), Statistical Methods and Bayesian Inference (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers) and Abdominal Trauma and Injuries (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (65 citations), Emergency Medicine (89 citations), Virology (38 citations), Microbiology (42 citations) and Statistics and Probability (27 citations). Thomas Greene has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Donald M. Yealy, Stacia M. DeSantis, Michael D. Swartz, Erin E. Fox, John B. Holcomb, Charles E. Wade, Jeffrey S. Tomasek, Jeanette M. Podbielski, Derek W. Brown and Michael D. Goodman. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, Statistics in Medicine, British Journal of Clinical Pharmacology, Pharmacology Research & Perspectives and Academic Emergency 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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