Françoise Volot

830 citations
20 papers · 580 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • Antimicrobial Resistance in Staphylococcus

Papers in

Françoise Volot

20 papers receiving 549 citations

Peers

Françoise Volot
Comparison fields: 5 of 64
  • Virology 72
  • Infectious Diseases 146
  • Epidemiology 216
  • Microbiology 4
  • Nephrology 33
Replace Heidi S. Bazick with:
Heidi S. Bazick United States
Sandrine Vinault France
Abdurrahman Sagir Germany
Alessandra Berzuini Italy
Alaka Deshpande India
Simone Becker United States
Tamara Modilevsky United States
Isabel Galán Spain
Beverly Alston‐Smith United States
Jochewed Werch United States
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Citations per field
00.5×1.5×2.1×
Heidi S. Bazick · 1×
Citations per year

Countries citing papers authored by Françoise Volot

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Volot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Françoise Volot, 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 Françoise Volot Line = papers co-authored together Françoise Volot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1999219
2 1999100
3 200345
4 200144
5 199827
6 201023
7 199423
8 200223
9
Structuration and acquisition of medical knowledge. Using UMLS in the conceptual graph formalism.
199323
10 199814
11 19989
12 20108
13
A UMLS-based method for integrating information databases into an Intranet.
19977
14
Towards interoperability of information sources within a hospital Intranet.
19985
15 20003
16
[Acetabular anteversion in congenital luxation of the hip].
19953
17 20101
18
Applicability of textual clinical practice guidelines: impact of physician interpretation.
20051
19 19951
20 19971

About Françoise Volot

Françoise Volot is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 20 papers that have together received 580 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Ophthalmology and Visual Impairment Studies (2 papers), Glaucoma and retinal disorders (2 papers), Natural Language Processing Techniques (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Online and Blended Learning (1 paper) and Hip disorders and treatments (1 paper). The work is most often cited by research in Virology (72 citations), Infectious Diseases (146 citations), Epidemiology (216 citations), Microbiology (4 citations) and Nephrology (33 citations). Françoise Volot has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Marius Fieschi, Michel Joubert, Jean‐Paul Casalta, Fadi Jamal, Pierre‐Edouard Fournier, Didier Raoult, Geneviève Dérumeaux, Pı̈erre Ambrosi, Pierre‐Jean Weiller and R Luccioni. Their work appears in journals such as Ophthalmologica, Journal of the American College of Cardiology, Journal of Clinical Microbiology, European Journal of Cancer and Journal of the American Medical Informatics 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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