Robert E. El-Kareh

62 papers receiving 1k citations

Robert E. El-Kareh's Hit Papers

Impact of a deep learning sepsis prediction model on quality of care and survival 2024 · 82 citations
820+1Years since publication255075

Peers

Robert E. El-Kareh
Comparison fields: 5 of 92
  • Family Practice 184
  • Health Informatics 117
  • Health Information Management 387
  • Computational Mathematics 10
  • Geriatrics and Gerontology 43
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Countries citing papers authored by Robert E. El-Kareh

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. El-Kareh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. El-Kareh. 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 Robert E. El-Kareh. The network helps show where Robert E. El-Kareh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2
Impact of a deep learning sepsis prediction model on quality of care and survival
Hit paper breakdown →
202482
3 200974
4 201759
5 201852
6 201550
7 201937
8 201937
9 201228
10 201327
11 201427
12 202127
13 201126
14 201726
15 201923
16 201221
17 201821
18 201720
19 202120
20 202016

About Robert E. El-Kareh

Robert E. El-Kareh is a scholar working on Health Information Management, Family Practice, Emergency Medical Services, Emergency Medicine and Artificial Intelligence, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (27 papers), Clinical Reasoning and Diagnostic Skills (11 papers), Patient Safety and Medication Errors (6 papers), Machine Learning in Healthcare (5 papers), Hospital Admissions and Outcomes (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Family Practice (184 citations), Health Informatics (117 citations), Health Information Management (387 citations), Computational Mathematics (10 citations) and Geriatrics and Gerontology (43 citations). Robert E. El-Kareh has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Gordon D. Schiff, Omar Hasan, Eric G. Poon, Lucila Ohno‐Machado, Chris Longhurst, Hyeoneui Kim, Xiaoqian Jiang, Hardeep Singh, Jonathan P. Ungar and Thomas Dean Sequist. Their work appears in journals such as Diagnosis, Journal of the American Medical Informatics Association, Applied Clinical Informatics, Journal of General Internal Medicine and Learning Health Systems.

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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