Eilon Gabel

888 citations
27 papers · 679 · h-index 13

Impact in

Papers in

Eilon Gabel

27 papers receiving 668 citations

Peers

Eilon Gabel
Comparison fields: 5 of 70
  • Health Informatics 118
  • Health Information Management 169
  • Anesthesiology and Pain Medicine 39
  • Artificial Intelligence 146
  • Emergency Medical Services 27
Replace Chris R. Giordano with:
Chris R. Giordano United States
Karen S. Sibert United States
Lotte E. Terwindt Netherlands
Marijn P. Mulder Netherlands
Liqi Feng United States
Peng‐Chen Chien Taiwan
Jacob P. VanHouten United States
Xuan Song China
Chiwon Ahn South Korea
Hans‐Christian Thorsen‐Meyer Denmark
Eilon Gabel relative to Chris R. Giordano United States Chris R. Giordano's profile →
Citations per field
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Chris R. Giordano · 1×
Citations per year

Countries citing papers authored by Eilon Gabel

Since Specialization
Citations

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

Fields of papers citing papers by Eilon Gabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 201971
3 201662
4 202061
5 201660
6 202050
7 201843
8 202129
9 202328
10 201917
11 202015
12 201314
13 201714
14 202412
15 202010
16 20178
17 20067
18 20227
19 20166
20 20224

About Eilon Gabel

Eilon Gabel is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine, Artificial Intelligence and Surgery, having authored 27 papers that have together received 679 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (7 papers), Machine Learning in Healthcare (6 papers), Electronic Health Records Systems (5 papers), Anesthesia and Pain Management (2 papers), Medical Coding and Health Information (2 papers), Anesthesia and Sedative Agents (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Health Informatics (118 citations), Health Information Management (169 citations), Anesthesiology and Pain Medicine (39 citations), Artificial Intelligence (146 citations) and Emergency Medical Services (27 citations). Eilon Gabel has collaborated with scholars based in United States and Israel. Frequent co-authors include Ira S. Hofer, Maxime P. Cannesson, Pierre Baldi, Kumar Rajaram, Velibor V. Mišić, Christine Lee, Aman Mahajan, Michael A. Pfeffer, Bala G. Nair and Howard A. Schwid. Their work appears in journals such as Anesthesia & Analgesia, British Journal of Anaesthesia, Anesthesiology, npj Digital Medicine and Genome biology.

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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