Stéphane M. Meystre
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Health Information Management top 0.1%
- Public Health, Environmental and Occupational Health top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Peter J. HaugJohn F. HurdleGuergana SavovaBrett R. SouthShuying ShenMatthew H. SamoreYoung-Jun KimÓscar Ferrández
- Topics
- Biomedical Text Mining and Ontologies (40 papers)Topic Modeling (33 papers)Electronic Health Records Systems (20 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationBMC Medical Research Methodology
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Stéphane M. Meystre
66 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.4k
- Molecular Biology 1.1k
- Health Information Management 624
- Public Health, Environmental and Occupational Health 283
- Management Science and Operations Research 235
Countries citing papers authored by Stéphane M. Meystre
This map shows the geographic impact of Stéphane M. Meystre'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 Stéphane M. Meystre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane M. Meystre more than expected).
Fields of papers citing papers by Stéphane M. Meystre
This network shows the impact of papers produced by Stéphane M. Meystre. 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 Stéphane M. Meystre. The network helps show where Stéphane M. Meystre may publish in the future.
Co-authorship network of co-authors of Stéphane M. Meystre
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane M. Meystre. A scholar is included among the top collaborators of Stéphane M. Meystre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stéphane M. Meystre. Stéphane M. Meystre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 44 | |
| 8 | 28 | |
| 9 | 22 | |
| 10 | 30 | |
| 11 | Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation. | 2 |
| 12 | A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents | 7 |
| 13 | On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. | 1 |
| 14 | 57 | |
| 15 | Improving Classification of Medical Assertions in Clinical Notes | 5 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx). | 29 |
| 19 | 149 | |
| 20 | 82 |
About Stéphane M. Meystre
Stéphane M. Meystre is a scholar working on Health Information Management, Issues, ethics and legal aspects and Health Informatics, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (40 papers), Topic Modeling (33 papers) and Electronic Health Records Systems (20 papers). The work is most often cited by research in Health Information Management (624 citations), Health Informatics (132 citations) and Artificial Intelligence (1.4k citations). Stéphane M. Meystre has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Peter J. Haug, John F. Hurdle, Guergana Savova, Brett R. South, Shuying Shen, Matthew H. Samore, Young-Jun Kim, Óscar Ferrández, Christoph U. Lehmann and Andrius Budrionis. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and BMC Medical Research Methodology.
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.