Brigitte Séroussi

86 papers receiving 922 citations

Peers

Brigitte Séroussi
Comparison fields: 5 of 118
  • Health Informatics 75
  • Health Information Management 171
  • Artificial Intelligence 297
  • Public Health, Environmental and Occupational Health 136
  • Family Practice 8
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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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2009114
3 200164
4 201452
5 200340
6 201528
7
A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: impact upon physician prescribing behaviour.
200124
8 201322
9
Supporting multidisciplinary staff meetings for guideline-based breast cancer management: a study with OncoDoc2.
200722
10 201321
11 202119
12
Does GEM-encoding clinical practice guidelines improve the quality of knowledge bases? A study with the rule-based formalism.
200316
13 202016
14 201716
15
Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic decisions.
199816
16 199414
17 200412
18 198612
19 200412
20
A comparison of English and French approaches to providing patients access to Summary Care Records: scope, consent, cost.
201311

About Brigitte Séroussi

Brigitte Séroussi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Artificial Intelligence, Health Information Management and Issues, ethics and legal aspects, having authored 91 papers that have together received 950 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (44 papers), Clinical practice guidelines implementation (37 papers), Electronic Health Records Systems (22 papers), Semantic Web and Ontologies (13 papers), Machine Learning in Healthcare (7 papers), Nursing Diagnosis and Documentation (6 papers), AI in cancer detection (6 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Health Informatics (75 citations), Health Information Management (171 citations), Artificial Intelligence (297 citations), Public Health, Environmental and Occupational Health (136 citations) and Family Practice (8 citations). Brigitte Séroussi has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Jacques Bouaud, Jean-Baptiste Lamy, Éric-Charles Antoine, C Mayaud, Jacques Cadranel, Frédéric Lioté, Joseph Gligorov, Nicolas Griffon, S. Uzan and J.-L. Golmard. 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 Journal of the American Medical Directors Association.

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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