Alexandre Yahi
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
- Surgery 3
- Transplantation: Methods and Outcomes 2
- 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)Li Li (1 shared paper)Andrew Kasarskis (1 shared paper)Patricia Kovatch (1 shared paper)Riccardo Miotto (1 shared paper)
- Journals
- The Journal of Heart and Lung Transplantation (1 paper)Trends in Pharmacological Sciences (1 paper)PLoS ONE (1 paper)ESC Heart Failure (1 paper)Annales d Endocrinologie (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Alexandre Yahi
7 papers receiving 421 citations
Peers
Comparison fields: 5 of 108
- Health Informatics 38
- Health Information Management 59
- Transplantation 31
- Toxicology 36
- Computational Theory and Mathematics 108
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 | 205 | |
| 2 | 2016 | 106 | |
| 3 | 2017 | 77 | |
| 4 | 2015 | 26 | |
| 5 | 2021 | 13 | |
| 6 | 2016 | 7 | |
| 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 Surgery, Molecular Biology, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 8 papers that have together received 439 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Transplantation: Methods and Outcomes (2 papers), MicroRNA in disease regulation (1 paper), Semantic Web and Ontologies (1 paper), Artificial Intelligence in Healthcare (1 paper), Computational Drug Discovery Methods (1 paper), Heart Failure Treatment and Management (1 paper) and Biofield Effects and Biophysics (1 paper). The work is most often cited by research in Health Informatics (38 citations), Health Information Management (59 citations), Transplantation (31 citations), Toxicology (36 citations) and Computational Theory and Mathematics (108 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, Li Li, Andrew Kasarskis, Patricia Kovatch, Riccardo Miotto, Sean Pinney and Khader Shameer. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Trends in Pharmacological Sciences, PLoS ONE, ESC Heart Failure 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.