Mor Peleg

119 papers receiving 3.0k citations

Peers

Mor Peleg
Comparison fields: 5 of 138
  • Health Information Management 977
  • Management Information Systems 474
  • Health Informatics 49
  • Artificial Intelligence 961
  • Public Health, Environmental and Occupational Health 741
Replace Samson W. Tu with:
Samson W. Tu United States
Yuval Shaḥar Israel
Mario Stefanelli Italy
Aziz A. Boxwala United States
Reinhold Haux Germany
John H. Gennari United States
Huilong Duan China
Arie Hasman Netherlands
Bernd Blobel Germany
Carlo Combi Italy
Mor Peleg relative to Samson W. Tu United States Samson W. Tu's profile →
Citations per field
00.5×4.3×
Samson W. Tu · 1×
Citations per year

Countries citing papers authored by Mor Peleg

Since Specialization
Citations

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

Fields of papers citing papers by Mor Peleg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003346
2 2013223
3
GLIF3: the evolution of a guideline representation format.
2000186
4 2004169
5 2010105
6 200299
7 200294
8 200485
9 200482
10 200767
11 201367
12
Decision support, knowledge representation and management in medicine.
200665
13 200065
14 200761
15 200860
16 200343
17 201342
18
Toward a representation format for sharable clinical guidelines
200142
19 201742
20 201541

About Mor Peleg

Mor Peleg is a scholar working on Molecular Biology, Health Information Management, Public Health, Environmental and Occupational Health, Artificial Intelligence and Management Information Systems, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (41 papers), Biomedical Text Mining and Ontologies (39 papers), Clinical practice guidelines implementation (29 papers), Business Process Modeling and Analysis (19 papers), Semantic Web and Ontologies (18 papers), Mobile Health and mHealth Applications (7 papers), Machine Learning in Healthcare (6 papers) and Digital Mental Health Interventions (6 papers). The work is most often cited by research in Health Information Management (977 citations), Management Information Systems (474 citations), Health Informatics (49 citations), Artificial Intelligence (961 citations) and Public Health, Environmental and Occupational Health (741 citations). Mor Peleg has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Samson W. Tu, Edward H. Shortliffe, Robert A. Greenes, Aziz A. Boxwala, Omolola Ogunyemi, Qing Zeng, Dov Dori, Vimla L. Patel, Yaron Denekamp and Russ B. Altman. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine, Methods of Information in Medicine and International Journal of Medical Informatics.

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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