Mor Peleg

5.3k total citations
120 papers, 3.1k citations indexed

About

Mor Peleg is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Mor Peleg has authored 120 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 48 papers in Health Information Management and 36 papers in Artificial Intelligence. Recurrent topics in Mor Peleg's work include Biomedical Text Mining and Ontologies (48 papers), Electronic Health Records Systems (46 papers) and Clinical practice guidelines implementation (34 papers). Mor Peleg is often cited by papers focused on Biomedical Text Mining and Ontologies (48 papers), Electronic Health Records Systems (46 papers) and Clinical practice guidelines implementation (34 papers). Mor Peleg collaborates with scholars based in Israel, United States and Italy. Mor Peleg's co-authors include Samson W. Tu, Edward H. Shortliffe, Robert A. Greenes, Aziz A. Boxwala, Qing Zeng, Omolola Ogunyemi, Dov Dori, Vimla L. Patel, Yaron Denekamp and Russ B. Altman and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Brain.

In The Last Decade

Mor Peleg

118 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mor Peleg Israel 29 1.5k 1.2k 1.1k 988 533 120 3.1k
Mario Stefanelli Italy 31 830 0.6× 711 0.6× 1.0k 0.9× 616 0.6× 334 0.6× 122 3.2k
Samson W. Tu United States 38 2.5k 1.7× 1.8k 1.5× 2.5k 2.2× 1.6k 1.6× 554 1.0× 153 5.1k
Aziz A. Boxwala United States 24 852 0.6× 830 0.7× 584 0.5× 638 0.6× 161 0.3× 95 1.9k
Yuval Shaḥar Israel 31 1.3k 0.9× 839 0.7× 2.2k 2.0× 623 0.6× 243 0.5× 169 4.0k
Huilong Duan China 29 587 0.4× 477 0.4× 980 0.9× 252 0.3× 373 0.7× 219 3.0k
Hans‐Ulrich Prokosch Germany 27 690 0.5× 1.0k 0.8× 530 0.5× 660 0.7× 150 0.3× 214 3.4k
Arie Hasman Netherlands 31 634 0.4× 1.2k 1.0× 444 0.4× 539 0.5× 173 0.3× 229 3.5k
S. Trent Rosenbloom United States 34 1.1k 0.8× 1.5k 1.2× 1.0k 0.9× 755 0.8× 85 0.2× 126 4.2k
Reinhold Haux Germany 30 561 0.4× 1.7k 1.4× 327 0.3× 502 0.5× 322 0.6× 234 3.8k
Ronald Cornet Netherlands 24 1.0k 0.7× 573 0.5× 1.1k 1.0× 308 0.3× 73 0.1× 163 3.1k

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-authorship network of co-authors of Mor Peleg

This figure shows the co-authorship network connecting the top 25 collaborators of Mor Peleg. A scholar is included among the top collaborators of Mor Peleg 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 Mor Peleg. Mor Peleg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yuan, Jing, Fei Han, Judith Somekh, et al.. (2025). Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health. Brain. 148(4). 1389–1404. 3 indexed citations
2.
Zhang, Gongbo, Qiao Jin, Yong Chen, et al.. (2024). Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. Journal of Biomedical Informatics. 153. 104640–104640. 15 indexed citations
3.
Peleg, Mor, et al.. (2024). How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors. Journal of Biomedical Informatics. 154. 104655–104655. 2 indexed citations
4.
Zhang, Yaoyun, Jing Yuan, Ziyue Liu, et al.. (2023). Identifying underlying patterns in Alzheimer's disease trajectory: a deep learning approach and Mendelian randomization analysis. EClinicalMedicine. 64. 102247–102247. 12 indexed citations
5.
Wilk, Szymon, et al.. (2022). SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. Journal of Biomedical Informatics. 138. 104276–104276. 6 indexed citations
6.
Peleg, Mor, et al.. (2021). Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case. Journal of Open Innovation Technology Market and Complexity. 7(4). 208–208. 2 indexed citations
7.
Michalowski, Martin, Szymon Wilk, Wojtek Michalowski, et al.. (2021). A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment. International Journal of Environmental Research and Public Health. 18(14). 7355–7355. 7 indexed citations
8.
Parimbelli, Enea, Szymon Wilk, Ronald Cornet, et al.. (2021). A review of AI and Data Science support for cancer management. Artificial Intelligence in Medicine. 117. 102111–102111. 24 indexed citations
9.
Koren, Danny, et al.. (2021). Participatory Design of a Mobile App to Safeguard Mental Resilience in the Context of Drug Use in Young Adults: Multi-Method Study. JMIR Formative Research. 6(2). e34477–e34477. 4 indexed citations
10.
Parimbelli, Enea, Szymon Wilk, Ronald Cornet, et al.. (2020). A Review of AI and Data Science Support for Cancer Management. medRxiv. 3 indexed citations
11.
Soffer, Pnina, et al.. (2018). A layered computer-interpretable guideline model for easing the update of locally adapted clinical guidelines. Health Informatics Journal. 26(1). 156–171. 2 indexed citations
12.
Peleg, Mor, Wojtek Michalowski, Szymon Wilk, et al.. (2018). Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. Journal of Medical Systems. 42(11). 234–234. 16 indexed citations
13.
Greenes, Robert A., Mor Peleg, Alan Rector, & Jerome A. Osheroff. (2013). Reusable Knowledge for Best Clinical Practices: Why We Have Difficulty Sharing and What We Can Do.. 1237.
14.
Peleg, Mor, et al.. (2012). How Does Personal Information Affect Clinical Decision Making? Eliciting Categories of Personal Context and Effects.. AMIA. 1 indexed citations
15.
Reichert, Manfred, Mor Peleg, & Richard Lenz. (2007). Proceedings of the 1st International Workshop on Process-oriented Information Systems in Healthcare (ProHealth'07), Workshop held in conjunction with the 5th Int'l Conf. on Business Process Management (BPM'07). 1 indexed citations
16.
Mulyar, NA Nataliya, Maja Pešić, Wil M. P. van der Aalst, & Mor Peleg. (2007). Towards the flexibility in clinical guideline modelling languages. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 704(1). 54–5. 2 indexed citations
17.
Peleg, Mor, Samson W. Tu, Jonathan Bury, et al.. (2003). Comparing Computer-interpretable Guideline Models: A Case-study Approach. Journal of the American Medical Informatics Association. 10(1). 52–68. 346 indexed citations
18.
Zeng, Qing, Samson W. Tu, Aziz A. Boxwala, et al.. (2000). A Three-layer Domain Ontology for Guideline Representation and Sharing.. PubMed Central. 1164–1164. 3 indexed citations
19.
Boxwala, Aziz A., Mor Peleg, Ronilda Lacson, et al.. (2000). Representing guidelines using domain-level knowledge components. PubMed Central. 974–974. 4 indexed citations
20.
Peleg, Mor & Dov Dori. (1998). Representing Control Flow Constructs in Object-Process Diagrams.. Journal of Object-oriented Programming. 11. 2 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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