Karima Sedki
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Semantic Web and Ontologies 8
- Logic, Reasoning, and Knowledge 6
- Bayesian Modeling and Causal Inference 5
-
- Biomedical Text Mining and Ontologies 7
- Co-authors
- Rosy Tsopra (13 shared papers)Jean-Baptiste Lamy (17 shared papers)Salem Benferhat (4 shared papers)F. Méchaï (2 shared papers)S. Cohen (1 shared paper)Olivier Bouchaud (1 shared paper)Marie‐Christine Jaulent (2 shared papers)Philippe Polet (1 shared paper)
- Journals
- Journal of Biomedical Informatics (2 papers)BMC Medical Informatics and Decision Making (2 papers)Expert Systems with Applications (2 papers)Journal of Medical Internet Research (1 paper)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- France
In The Last Decade
Karima Sedki
25 papers receiving 211 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 13
- Applied Microbiology and Biotechnology 9
- Geriatrics and Gerontology 10
- Family Practice 5
- Health Information Management 11
Countries citing papers authored by Karima Sedki
This map shows the geographic impact of Karima Sedki'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 Karima Sedki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karima Sedki more than expected).
Fields of papers citing papers by Karima Sedki
This network shows the impact of papers produced by Karima Sedki. 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 Karima Sedki. The network helps show where Karima Sedki may publish in the future.
Co-authors
The 23 scholars most cited alongside Karima Sedki, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2022 | 19 | |
| 3 | 2012 | 18 | |
| 4 | 2018 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2008 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2011 | 7 | |
| 14 | 2020 | 4 | |
| 15 | Decision System Integrating Preferences to Support Sleep Staging. | 2016 | 4 |
| 16 | 2010 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2018 | 2 |
About Karima Sedki
Karima Sedki is a scholar working on Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Computer Vision and Pattern Recognition and Geriatrics and Gerontology, having authored 33 papers that have together received 220 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Biomedical Text Mining and Ontologies (7 papers), Logic, Reasoning, and Knowledge (6 papers), Bayesian Modeling and Causal Inference (5 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Multi-Criteria Decision Making (3 papers), Data Visualization and Analytics (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Informatics (13 citations), Applied Microbiology and Biotechnology (9 citations), Geriatrics and Gerontology (10 citations), Family Practice (5 citations) and Health Information Management (11 citations). Karima Sedki has collaborated with scholars based in France. Frequent co-authors include Rosy Tsopra, Jean-Baptiste Lamy, Salem Benferhat, F. Méchaï, S. Cohen, Olivier Bouchaud, Marie‐Christine Jaulent, Philippe Polet, Frédéric Vanderhaegen and Karim Tabia. Their work appears in journals such as Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, Expert Systems with Applications, Journal of Medical Internet Research and Artificial Intelligence in Medicine.
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.