Mahmud Omar

636 total citations · 1 hit paper
41 papers, 208 citations indexed

About

Mahmud Omar is a scholar working on Health Informatics, Artificial Intelligence and Rheumatology. According to data from OpenAlex, Mahmud Omar has authored 41 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Informatics, 11 papers in Artificial Intelligence and 7 papers in Rheumatology. Recurrent topics in Mahmud Omar's work include Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (10 papers) and Spondyloarthritis Studies and Treatments (5 papers). Mahmud Omar is often cited by papers focused on Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (10 papers) and Spondyloarthritis Studies and Treatments (5 papers). Mahmud Omar collaborates with scholars based in Israel, United States and United Kingdom. Mahmud Omar's co-authors include Eyal Klang, Girish N. Nadkarni, Benjamin S. Glicksberg, Inbar Levkovich, Alexander W. Charney, Shelly Soffer, Robert Freeman, Isotta Landi, Dana Brin and Κassem Sharif and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal of Affective Disorders.

In The Last Decade

Mahmud Omar

32 papers receiving 203 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sociodemographic biases in medical decision making by large language models

2025 27 citations Mahmud Omar, Shelly Soffer et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mahmud Omar Israel	9	78	51	29	23	22	41	208
Brenda Y. Miao United States	8	125 1.6×	104 2.0×	4 0.1×	72 3.1×	9 0.4×	14	287
Muhammad Solihuddin Muhtar Taiwan	5	16 0.2×	29 0.6×	9 0.3×	12 0.5×	15 0.7×	9	98
Joshua Au Yeung United Kingdom	7	118 1.5×	92 1.8×	8 0.3×	45 2.0×	2 0.1×	11	224
Joshua Yi Min Tung Singapore	7	59 0.8×	35 0.7×	7 0.2×	31 1.3×	2 0.1×	21	220
Lydia Hanna United Kingdom	6	28 0.4×	17 0.3×	10 0.3×	15 0.7×	2 0.1×	27	178
Madhumita Sushil United States	9	116 1.5×	168 3.3×	12 0.4×	59 2.6×	3 0.1×	19	294
Luis Filipe Nakayama Brazil	11	78 1.0×	32 0.6×	3 0.1×	147 6.4×	10 0.5×	54	348
Sophia M. Pressman United States	9	146 1.9×	64 1.3×	3 0.1×	51 2.2×	4 0.2×	18	229
Cesar A. Gomez-Cabello United States	10	162 2.1×	72 1.4×	3 0.1×	54 2.3×	4 0.2×	34	265
Ye Seul Bae South Korea	9	14 0.2×	33 0.6×	14 0.5×	44 1.9×	12 0.5×	27	286

Countries citing papers authored by Mahmud Omar

Since Specialization

Citations

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

Fields of papers citing papers by Mahmud Omar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmud Omar

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmud Omar. A scholar is included among the top collaborators of Mahmud Omar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mahmud Omar. Mahmud Omar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Omar, Mahmud, Vera Sorin, Jeremy D. Collins, et al.. (2025). Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support. Communications Medicine. 5(1). 330–330. 6 indexed citations

Omar, Mahmud, Vera Sorin, Ali Soroush, et al.. (2025). Evaluating and addressing demographic disparities in medical large language models: a systematic review. International Journal for Equity in Health. 24(1). 57–57. 17 indexed citations

Soffer, Shelly, Mahmud Omar, Benjamin S. Glicksberg, et al.. (2025). A scalable framework for benchmark embedding models in semantic health-care tasks. Journal of the American Medical Informatics Association. 32(12). 1877–1887.

Sorin, Vera, Panagiotis Korfiatis, Jeremy D. Collins, et al.. (2025). Socio-Demographic Modifiers Shape Large Language Models’ Ethical Decisions. PubMed. 9(4). 567–586.

Omar, Mahmud, et al.. (2025). Sociodemographic Bias in Large Language Model–Assisted Gastroenterology. JAMA Network Open. 8(9). e2532692–e2532692.

Carmiel-Haggai, Michal, et al.. (2025). The association between familial Mediterranean fever and incident cirrhosis: A population-based matched cohort study. Joint Bone Spine. 92(6). 105917–105917.

Omar, Mahmud, Shelly Soffer, Nicola Luigi Bragazzi, et al.. (2025). Sociodemographic biases in medical decision making by large language models. Nature Medicine. 31(6). 1873–1881. 27 indexed citations breakdown →

Omar, Mahmud, et al.. (2025). Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic review. Frontiers in Medicine. 11. 1512824–1512824. 2 indexed citations

Omar, Mahmud, et al.. (2025). Comparative impact of the COVID-19 pandemic on parental behaviour towards childhood vaccination in Israel and the United Kingdom: A self-controlled matched cross-sectional study. Vaccine. 61. 127385–127385. 3 indexed citations

10.

Omar, Mahmud, et al.. (2024). Genetic Risk of Ankylosing Spondylitis and Second-Line Therapy Need in Crohn’s Disease: A Mendelian Randomization Study. Journal of Clinical Medicine. 13(24). 7496–7496.

11.

Omar, Mahmud, et al.. (2024). Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini. Computers in Biology and Medicine. 185. 109545–109545. 12 indexed citations

12.

Omar, Mahmud, Dana Brin, Benjamin S. Glicksberg, & Eyal Klang. (2024). Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A systematic review. American Journal of Infection Control. 52(9). 992–1001. 16 indexed citations

13.

Omar, Mahmud, Dana Brin, Benjamin S. Glicksberg, & Eyal Klang. (2024). Utilizing Natural Language Processing and Large Language Models in the Diagnosis and Prediction of Infectious Diseases: A Systematic Review. medRxiv. 2 indexed citations

14.

Omar, Mahmud & Inbar Levkovich. (2024). Exploring the efficacy and potential of large language models for depression: A systematic review. Journal of Affective Disorders. 371. 234–244. 13 indexed citations

15.

Omar, Mahmud, et al.. (2024). Limited Clinical Impact of Genetic Associations between Celiac Disease and Type 2 Inflammatory Diseases: Insights from Mendelian Randomization. Biomedicines. 12(7). 1429–1429. 2 indexed citations

16.

Omar, Mahmud, et al.. (2024). Advancing rheumatology with natural language processing: insights and prospects from a systematic review. Rheumatology Advances in Practice. 8(4). rkae120–rkae120. 8 indexed citations

17.

Omar, Mahmud, ‬‬‬‬Abdulla Watad, Dennis McGonagle, et al.. (2024). The role of deep learning in diagnostic imaging of spondyloarthropathies: a systematic review. European Radiology. 35(6). 3661–3672. 2 indexed citations

18.

Omar, Mahmud, Shelly Soffer, Alexander W. Charney, et al.. (2024). Applications of large language models in psychiatry: a systematic review. Frontiers in Psychiatry. 15. 1422807–1422807. 26 indexed citations

19.

Sharif, Κassem, Mahmud Omar, Adi Lahat, et al.. (2023). Big data- and machine learning-based analysis of a global pharmacovigilance database enables the discovery of sex-specific differences in the safety profile of dual IL4/IL13 blockade. Frontiers in Pharmacology. 14. 1271309–1271309. 2 indexed citations

20.

Omar, Mahmud, Avishai M. Tsur, Arnon D. Cohen, et al.. (2022). The association between ankylosing spondylitis and psychiatric disorders: Insights from a population based cross-sectional database. Journal of Affective Disorders. 323. 788–792. 9 indexed citations

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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