Boaz Carmeli

25 papers receiving 496 citations

Peers

Boaz Carmeli
Comparison fields: 5 of 91
  • Emergency Medical Services 138
  • Health Informatics 14
  • Management Information Systems 89
  • Health Information Management 40
  • Emergency Medicine 74
Replace Michele Samorani with:
Michele Samorani United States
Smaranda Belciug Romania
A. N. Yakovlev Russia
Bichen Zheng United States
Serhat Simsek United States
Filipe Portela Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Boaz Carmeli

Since Specialization
Citations

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

Fields of papers citing papers by Boaz Carmeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020181
2 201584
3 201173
4 201454
5 202024
6 201621
7 200918
8 200412
9 20128
10 20157
11
From regional healthcare information organizations to a national healthcare information infrastructure.
20057
12
Analyzing the "CareGap": assessing gaps in adherence to clinical guidelines in adult soft tissue sarcoma.
20135
13 20115
14 20204
15 20124
16 20124
17 20223
18 20033
19 20002
20 20092

About Boaz Carmeli

Boaz Carmeli is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Computer Vision and Pattern Recognition and Emergency Medicine, having authored 28 papers that have together received 527 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Healthcare Operations and Scheduling Optimization (4 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (4 papers), Advanced Queuing Theory Analysis (3 papers), Emergency and Acute Care Studies (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Emergency Medical Services (138 citations), Health Informatics (14 citations), Management Information Systems (89 citations), Health Information Management (40 citations) and Emergency Medicine (74 citations). Boaz Carmeli has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Avishai Mandelbaum, George Kour, Segev Shlomov, Naama Zwerdling, Amir Kantor, Ateret Anaby-Tavor, Yariv N. Marmor, Ohad Greenshpan, Jimeng Sun and Daby Sow. Their work appears in journals such as ACM Transactions on Modeling and Computer Simulation, Scientific Reports, Journal of Clinical Oncology, Operations Research and IBM Journal of Research and Development.

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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