Alon Geva
Impact in
- Health Informatics top 10%
Papers in
- Epidemiology 16
- Sepsis Diagnosis and Treatment 7
- Congenital Heart Disease Studies 6
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- Respiratory Support and Mechanisms 4
- Co-authors
- James E. Gray (2 shared papers)Matthew T. Brigger (1 shared paper)Tal Geva (5 shared papers)Pedro J. del Nido (2 shared papers)Kimberlee Gauvreau (2 shared papers)Ellis J. Neufeld (3 shared papers)Kenneth D. Mandl (12 shared papers)Darcy Davis (1 shared paper)
- Journals
- Pediatric Critical Care Medicine (12 papers)PEDIATRICS (3 papers)Journal of Biomedical Informatics (3 papers)Otolaryngology (2 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Alon Geva
48 papers receiving 537 citations
Peers
Comparison fields: 5 of 104
- Health Informatics 17
- Critical Care and Intensive Care Medicine 44
- Health Information Management 38
- Toxicology 19
- Emergency Medicine 51
Countries citing papers authored by Alon Geva
This map shows the geographic impact of Alon Geva'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 Alon Geva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alon Geva more than expected).
Fields of papers citing papers by Alon Geva
This network shows the impact of papers produced by Alon Geva. 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 Alon Geva. The network helps show where Alon Geva may publish in the future.
Co-authors
The 25 scholars most cited alongside Alon Geva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 54 | |
| 2 | 2007 | 53 | |
| 3 | 2011 | 43 | |
| 4 | 2003 | 40 | |
| 5 | 2011 | 32 | |
| 6 | 2023 | 29 | |
| 7 | 2015 | 23 | |
| 8 | 2004 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2007 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 1999 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2017 | 8 |
About Alon Geva
Alon Geva is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 551 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Sepsis Diagnosis and Treatment (7 papers), Congenital Heart Disease Studies (6 papers), Biomedical Text Mining and Ontologies (6 papers), Emergency and Acute Care Studies (5 papers), Cardiac Arrest and Resuscitation (5 papers), Topic Modeling (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Health Informatics (17 citations), Critical Care and Intensive Care Medicine (44 citations), Health Information Management (38 citations), Toxicology (19 citations) and Emergency Medicine (51 citations). Alon Geva has collaborated with scholars based in United States, Canada and China. Frequent co-authors include James E. Gray, Matthew T. Brigger, Tal Geva, Pedro J. del Nido, Kimberlee Gauvreau, Ellis J. Neufeld, Kenneth D. Mandl, Darcy Davis, DeWayne M. Pursley and Nitesh V. Chawla. Their work appears in journals such as Pediatric Critical Care Medicine, PEDIATRICS, Journal of Biomedical Informatics, Otolaryngology and Journal of the American Medical Informatics Association.
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.