Matthew Bronstein

21 papers receiving 303 citations

Peers

Matthew Bronstein
Comparison fields: 5 of 91
  • Human-Computer Interaction 39
  • Internal Medicine 16
  • Computer Vision and Pattern Recognition 79
  • Reproductive Medicine 24
  • Surgery 124
Replace Bryan Lieber with:
Bryan Lieber United States
Rasiah Bharathan United Kingdom
Jeremy Ackerman United States
Daniel Schweitzer Chile
Sharon P. Rodrigues Netherlands
Karim Qayumi Canada
C. Perrenot France
L. M. Palanivelu United Kingdom
Ismail Tawakol Ali Canada
Christian A. Péan United States
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Countries citing papers authored by Matthew Bronstein

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Bronstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014199
2 201433
3 202019
4 201914
5 200812
6 20218
7 20206
8 20214
9 20154
10 20202
11 20232
12 20222
13 20232
14 20251
15 20221
16 20241
17 20141
18 20211
19
Use of Direct Peritoneal Resuscitation for Intra-Abdominal Catastrophes: A Technical Note.
20201
20 20221

About Matthew Bronstein

Matthew Bronstein is a scholar working on Emergency Medicine, Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 24 papers that have together received 315 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (5 papers), COVID-19 Clinical Research Studies (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Trauma Management and Diagnosis (3 papers), Cardiac Arrest and Resuscitation (3 papers), Abdominal Surgery and Complications (2 papers), Pleural and Pulmonary Diseases (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Human-Computer Interaction (39 citations), Internal Medicine (16 citations), Computer Vision and Pattern Recognition (79 citations), Reproductive Medicine (24 citations) and Surgery (124 citations). Matthew Bronstein has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Oliver J. Muensterer, Martin Lacher, Joachim Kübler, Christoph Zoeller, Christopher W. Snyder, Samir Pandya, Qiuhu Shi, Tracey L. Weigel, Robert J. Winchell and Philip S. Barie. Their work appears in journals such as Journal of the American College of Surgeons, Surgical Infections, The American Journal of Surgery, International Journal of Surgery and The American Surgeon.

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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