Brigitte Séroussi

97 papers receiving 1.1k citations

Peers

Brigitte Séroussi
Comparison fields: 5 of 121
  • Health Informatics 86
  • Health Information Management 215
  • Artificial Intelligence 376
  • Public Health, Environmental and Occupational Health 170
  • Family Practice 10
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Thomas Ganslandt Germany
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Citations per year

Countries citing papers authored by Brigitte Séroussi

Since Specialization
Citations

This map shows the geographic impact of Brigitte Séroussi'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 Brigitte Séroussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Séroussi more than expected).

Fields of papers citing papers by Brigitte Séroussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brigitte Séroussi. 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 Brigitte Séroussi. The network helps show where Brigitte Séroussi may publish in the future.

Co-authors

The 25 scholars most cited alongside Brigitte Séroussi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brigitte Séroussi Line = papers co-authored together Brigitte Séroussi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019217
2 2009126
3 200170
4 201453
5 200347
6 201532
7 200132
8
Supporting multidisciplinary staff meetings for guideline-based breast cancer management: a study with OncoDoc2.
200727
9 199425
10
A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: impact upon physician prescribing behaviour.
200125
11 201322
12 201321
13
Does GEM-encoding clinical practice guidelines improve the quality of knowledge bases? A study with the rule-based formalism.
200319
14 202119
15 202019
16 200417
17 201717
18
Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic decisions.
199817
19 200415
20 199813

About Brigitte Séroussi

Brigitte Séroussi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Artificial Intelligence, Health Information Management and Epidemiology, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (51 papers), Clinical practice guidelines implementation (42 papers), Electronic Health Records Systems (25 papers), Semantic Web and Ontologies (17 papers), Machine Learning in Healthcare (8 papers), Nursing Diagnosis and Documentation (6 papers), AI in cancer detection (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Health Informatics (86 citations), Health Information Management (215 citations), Artificial Intelligence (376 citations), Public Health, Environmental and Occupational Health (170 citations) and Family Practice (10 citations). Brigitte Séroussi has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Jacques Bouaud, Jean-Baptiste Lamy, Éric-Charles Antoine, C Mayaud, Jacques Cadranel, Frédéric Lioté, Joseph Gligorov, J.-L. Golmard, S. Uzan and Laurent Zelek. Their work appears in journals such as Artificial Intelligence in Medicine, Yearbook of Medical Informatics, Methods of Information in Medicine, International Journal of Medical Informatics and The Breast.

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.

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