Ehsan Bitaraf

11 papers receiving 173 citations

Ehsan Bitaraf's Hit Papers

A systematic review of large language model (LLM) evaluations in clinical medicine 2025 · 65 citations
650Years since publication204060

Peers

Ehsan Bitaraf
Comparison fields: 5 of 47
  • Health Informatics 30
  • Health Information Management 15
  • Health, Toxicology and Mutagenesis 35
  • Modeling and Simulation 4
  • Applied Psychology 3
Replace Nguyen Thanh Dung with:
Nguyen Thanh Dung Vietnam
Hanna von Gerich Finland
Xinsong Du United States
Nasloon Ali United Arab Emirates
Monika Nair Sweden
A Biagi Italy
John T. Howell United States
Sae Won Choi South Korea
Andrew J. King United States
Neema W. Minja United States
Ehsan Bitaraf relative to Nguyen Thanh Dung Vietnam Nguyen Thanh Dung's profile →
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Citations per year

Countries citing papers authored by Ehsan Bitaraf

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Bitaraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ehsan Bitaraf, 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 Ehsan Bitaraf Line = papers co-authored together Ehsan Bitaraf links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A systematic review of large language model (LLM) evaluations in clinical medicine
Hit paper breakdown →
202565
2 201830
3
Towards National eHealth Implementation--a comparative study on WHO/ITU National eHealth Strategy Toolkit in Iran.
201422
4 201621
5 202212
6 201710
7 20215
8 20214
9 20144
10 20211
11 20231
12 20221
13 20260
14 20180

About Ehsan Bitaraf

Ehsan Bitaraf is a scholar working on Health Information Management, Infectious Diseases, Information Systems, Health, Toxicology and Mutagenesis and Emergency Medicine, having authored 14 papers that have together received 176 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Climate Change and Health Impacts (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Emergency and Acute Care Studies (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Trade Secret Protection Methods (1 paper), COVID-19 epidemiological studies (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Health Informatics (30 citations), Health Information Management (15 citations), Health, Toxicology and Mutagenesis (35 citations), Modeling and Simulation (4 citations) and Applied Psychology (3 citations). Ehsan Bitaraf has collaborated with scholars based in Iran, United States and Austria. Frequent co-authors include Sina Shool, Reza Golpira, Mahmood Tara, Hamid Soori, Rasool Mohammadi, Soheila Khodakarim, Ali Kabir, Abbas Sheikhtaheri, Mohammad Mehdí Gouya and Seyyed Amir Yasin Ahmadi. Their work appears in journals such as Health Information Management Journal, Journal of Immunology Research, Journal of Thermal Biology, BMC Medical Informatics and Decision Making and Eastern Mediterranean Health Journal.

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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