Alexandre Yahi
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 3
- Semantic Web and Ontologies 1
- Surgery 1
- Salivary Gland Tumors Diagnosis and Treatment 1
- Co-authors
- Nicholas P. Tatonetti (5 shared papers)Anna O. Basile (1 shared paper)Joel T. Dudley (1 shared paper)Bruce Darrow (1 shared paper)Andrew Kasarskis (1 shared paper)Khader Shameer (1 shared paper)Riccardo Miotto (1 shared paper)Patricia Kovatch (1 shared paper)
- Journals
- PLoS ONE (1 paper)Trends in Pharmacological Sciences (1 paper)ESC Heart Failure (1 paper)The Journal of Heart and Lung Transplantation (1 paper)Annales d Endocrinologie (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Alexandre Yahi
7 papers receiving 486 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 37
- Health Information Management 56
- Toxicology 41
- Transplantation 24
- Computational Theory and Mathematics 129
Countries citing papers authored by Alexandre Yahi
This map shows the geographic impact of Alexandre Yahi'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 Alexandre Yahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Yahi more than expected).
Fields of papers citing papers by Alexandre Yahi
This network shows the impact of papers produced by Alexandre Yahi. 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 Alexandre Yahi. The network helps show where Alexandre Yahi may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Yahi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 252 | |
| 2 | 2016 | 116 | |
| 3 | 2017 | 82 | |
| 4 | 2015 | 31 | |
| 5 | 2021 | 14 | |
| 6 | 2016 | 9 | |
| 7 | A knowledge-based, automated method for phenotyping in the EHR using only clinical pathology reports. | 2015 | 5 |
| 8 | 2015 | 0 |
About Alexandre Yahi
Alexandre Yahi is a scholar working on Artificial Intelligence, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 8 papers that have together received 509 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare (1 paper), Biofield Effects and Biophysics (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Spaceflight effects on biology (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (37 citations), Health Information Management (56 citations), Toxicology (41 citations), Transplantation (24 citations) and Computational Theory and Mathematics (129 citations). Alexandre Yahi has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Nicholas P. Tatonetti, Anna O. Basile, Joel T. Dudley, Bruce Darrow, Andrew Kasarskis, Khader Shameer, Riccardo Miotto, Patricia Kovatch, Sean Pinney and Li Li. Their work appears in journals such as PLoS ONE, Trends in Pharmacological Sciences, ESC Heart Failure, The Journal of Heart and Lung Transplantation and Annales d Endocrinologie.
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.