Nadir Ammour
- Health Information Management top 1%
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Molecular Biology
- General Health Professions
- Co-authors
- Mats SundgrenDipak KalraAndreas SchmidtGeorges De MoorDanielle DupontPascal CoorevitsBrecht ClaerhoutMartin Dugas
- Topics
- Machine Learning in Healthcare (5 papers)Electronic Health Records Systems (4 papers)Biomedical Text Mining and Ontologies (2 papers)
- Cited by
- Health Information ManagementHealth InformaticsPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- SHILAP Revista de lepidopterologíaBMC Medical Research MethodologyValue in Health
- Partner nations
- FranceSwedenUnited Kingdom
In The Last Decade
Nadir Ammour
11 papers receiving 324 citations
Peers
Comparison fields: 5 of 69
- Health Information Management 120
- Public Health, Environmental and Occupational Health 94
- Artificial Intelligence 79
- Molecular Biology 63
- General Health Professions 38
Countries citing papers authored by Nadir Ammour
This map shows the geographic impact of Nadir Ammour'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 Nadir Ammour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadir Ammour more than expected).
Fields of papers citing papers by Nadir Ammour
This network shows the impact of papers produced by Nadir Ammour. 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 Nadir Ammour. The network helps show where Nadir Ammour may publish in the future.
Co-authorship network of co-authors of Nadir Ammour
This figure shows the co-authorship network connecting the top 25 collaborators of Nadir Ammour. A scholar is included among the top collaborators of Nadir Ammour 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 Nadir Ammour. Nadir Ammour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 71 | |
| 4 | 23 | |
| 5 | 34 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 37 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 133 |
About Nadir Ammour
Nadir Ammour is a scholar working on Health Information Management, Family Practice and Statistics and Probability, having authored 11 papers that have together received 333 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Electronic Health Records Systems (4 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Information Management (120 citations), Health Informatics (11 citations) and Physical Therapy, Sports Therapy and Rehabilitation (31 citations). Nadir Ammour has collaborated with scholars based in France, Sweden and United Kingdom. Frequent co-authors include Mats Sundgren, Dipak Kalra, Andreas Schmidt, Georges De Moor, Danielle Dupont, Pascal Coorevits, Brecht Claerhout, Martin Dugas, Christel Daniel and Christian Ohmann. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Medical Research Methodology and Value in Health.
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.