V. Daucourt

544 citations
26 papers · 433 · h-index 10

Impact in

Papers in

V. Daucourt

25 papers receiving 409 citations

Peers

V. Daucourt
Comparison fields: 5 of 63
  • Virology 86
  • Emergency Medicine 142
  • Hepatology 70
  • Infectious Diseases 156
  • Health Information Management 22
Replace Sophia W. Chang with:
Sophia W. Chang United States
Rosmeri Kuhmmer Lazzaretti Brazil
Maria Letícia Rodrigues Ikeda Brazil
Davide Croce Italy
Regina Kuhmmer Brazil
Pascal Puglièse France
Paz Sobrino‐Vegas Spain
Cristina Mussini Italy
F. Raffi France
N. Bernard France
V. Daucourt relative to Sophia W. Chang United States Sophia W. Chang's profile →
Citations per field
00.5×4.4×
Sophia W. Chang · 1×
Citations per year

Countries citing papers authored by V. Daucourt

Since Specialization
Citations

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

Fields of papers citing papers by V. Daucourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000143
2 1999123
3 200325
4 200818
5 200317
6 199916
7 200515
8 199814
9 200514
10 200812
11 20056
12 19985
13 20175
14 20013
15
[Use of the critical incident technique in the development of a measurement tool for satisfaction in psychiatry].
20013
16 20192
17
[Medico-economic assessment of two methods for implementing thyroid testing guidelines].
20052
18 20082
19 20002
20 20051

About V. Daucourt

V. Daucourt is a scholar working on General Health Professions, Infectious Diseases, Public Health, Environmental and Occupational Health, Surgery and Sociology and Political Science, having authored 26 papers that have together received 433 indexed citations. Recurring topics across this work include Health, Medicine and Society (5 papers), Healthcare Systems and Practices (3 papers), Tuberculosis Research and Epidemiology (2 papers), Delphi Technique in Research (2 papers), HIV/AIDS drug development and treatment (2 papers), Clinical practice guidelines implementation (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Virology (86 citations), Emergency Medicine (142 citations), Hepatology (70 citations), Infectious Diseases (156 citations) and Health Information Management (22 citations). V. Daucourt has collaborated with scholars based in France, Belize and Canada. Frequent co-authors include Catherine Marimoutou, P. Mercié, M. Dupon, François Dabis, Philippe Michel, Marianne Savès, Stéphanie Vandentorren, N. Bernard, Patrice Couzigou and Didier Koumavi Ekouévi. Their work appears in journals such as International Journal for Quality in Health Care, Medical Care, AIDS, BMC Health Services Research and Clinical Infectious Diseases.

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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