Dana Brin

8 papers receiving 383 citations

Dana Brin's Hit Papers

Large Language Models and Empathy: Systematic Review 2024 · 89 citations
890+1Years since publication255075

Peers

Dana Brin
Comparison fields: 5 of 71
  • Health Informatics 186
  • Family Practice 20
  • Artificial Intelligence 85
  • Health Information Management 10
  • Radiology, Nuclear Medicine and Imaging 46
Replace Teresa Festl Wietek with:
Teresa Festl Wietek Germany
Julia-Astrid Moldt Germany
Amnuay Kleebayoon India
Guo Jiu-lin China
Brian C. Gin United States
Robert Kaczmarczyk Germany
Sarah Younus Canada
Tharshini Jeyakumar Canada
Masashi Yokose Japan
Azra Dhalla Canada
Dana Brin relative to Teresa Festl Wietek Germany Teresa Festl Wietek's profile →
Citations per field
00.5×1.5×
Teresa Festl Wietek · 1×
Citations per year

Countries citing papers authored by Dana Brin

Since Specialization
Citations

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

Fields of papers citing papers by Dana Brin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Dana Brin, 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 Dana Brin Line = papers co-authored together Dana Brin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2023221
2
Large Language Models and Empathy: Systematic Review
Hit paper breakdown →
202489
3 202448
4 202426
5 20246
6 20243
7
October 7 Terror Attack: A One-Day Case Series of Imaging Trauma Patients at a Single Medical Center.
20231
8 20251
9 20200
10 20250

About Dana Brin

Dana Brin is a scholar working on Health Informatics, Family Practice, Internal Medicine, Radiology, Nuclear Medicine and Imaging and Emergency Medical Services, having authored 10 papers that have together received 395 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Clinical Reasoning and Diagnostic Skills (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Ethics in Clinical Research (1 paper), Innovations in Medical Education (1 paper), Cardiac Imaging and Diagnostics (1 paper), COVID-19 and healthcare impacts (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Health Informatics (186 citations), Family Practice (20 citations), Artificial Intelligence (85 citations), Health Information Management (10 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Dana Brin has collaborated with scholars based in Israel and United States. Frequent co-authors include Eyal Klang, Girish N. Nadkarni, Vera Sorin, Benjamin Scott Glicksberg, Alexander W. Charney, Ali Soroush, Akhil Vaid, Eli Konen, Yiftach Barash and Mahmud Omar. Their work appears in journals such as European Radiology, Plastic & Reconstructive Surgery, American Journal of Infection Control, Journal of Vascular Surgery Venous and Lymphatic Disorders and Journal of Medical Internet Research.

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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