Mor Peleg

141 papers receiving 3.8k citations

Peers

Mor Peleg
Comparison fields: 5 of 139
  • Health Information Management 1.3k
  • Management Information Systems 774
  • Health Informatics 71
  • Artificial Intelligence 1.3k
  • Public Health, Environmental and Occupational Health 969
Replace Samson W. Tu with:
Samson W. Tu United States
Yuval Shaḥar Israel
Mario Stefanelli Italy
Reinhold Haux Germany
Aziz A. Boxwala United States
Bernd Blobel Germany
Arie Hasman Netherlands
John H. Gennari United States
Alan L. Rector United Kingdom
Randolph A. Miller United States
Mor Peleg relative to Samson W. Tu United States Samson W. Tu's profile →
Citations per field
00.5×2×3×3.8×
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 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003456
2 2013286
3 2004235
4
GLIF3: the evolution of a guideline representation format.
2000219
5 2002117
6 2010116
7 2002110
8 2004105
9 2004101
10 201391
11 200787
12 200082
13
Decision support, knowledge representation and management in medicine.
200674
14 200874
15 200774
16 200355
17 201351
18 200151
19 201550
20 201749

About Mor Peleg

Mor Peleg is a scholar working on Health Information Management, Management Information Systems, Public Health, Environmental and Occupational Health, Artificial Intelligence and Molecular Biology, having authored 145 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (46 papers), Electronic Health Records Systems (44 papers), Clinical practice guidelines implementation (33 papers), Semantic Web and Ontologies (27 papers), Business Process Modeling and Analysis (25 papers), Machine Learning in Healthcare (8 papers), Digital Mental Health Interventions (8 papers) and Mobile Health and mHealth Applications (7 papers). The work is most often cited by research in Health Information Management (1.3k citations), Management Information Systems (774 citations), Health Informatics (71 citations), Artificial Intelligence (1.3k citations) and Public Health, Environmental and Occupational Health (969 citations). Mor Peleg has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Samson W. Tu, Edward Hance Shortliffe, Robert A. Greenes, Aziz A. Boxwala, Dov Dori, Qing Treitler Zeng, Omolola Ijeoma Ogunyemi, Pnina Soffer, Yaron Denekamp and Vimla Lodhia Patel. Their work appears in journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Journal of the American Medical Informatics Association, Methods of Information in Medicine and Lecture notes in computer science.

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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