Florence Cour

54 papers receiving 744 citations

Peers

Florence Cour
Comparison fields: 5 of 25
  • Rheumatology 423
  • Urology 62
  • Psychiatry and Mental health 128
  • Statistics, Probability and Uncertainty 6
  • Surgery 34
Replace Martin K. Gelbard with:
Martin K. Gelbard United States
Guus A.B. Lycklama à Nijeholt Netherlands
Jean‐Pierre Sarramon France
Carlos A. Medina United States
Christopher E. Wolter United States
Miguel Vírseda Chamorro Spain
Roberto Olianas Germany
Pat D. O’Donnell United States
Ivan Gilja Croatia
Wen-Chen Huang Taiwan
Florence Cour relative to Martin K. Gelbard United States Martin K. Gelbard's profile →
Citations per field
00.5×1.6×
Martin K. Gelbard · 1×
Citations per year

Countries citing papers authored by Florence Cour

Since Specialization
Citations

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

Fields of papers citing papers by Florence Cour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200874
2 200956
3 201150
4 200943
5 201034
6 201034
7 200729
8 201329
9
[Recommendations to general practice doctors for first line management of erectile dysfunction].
200528
10 200728
11 200327
12 201226
13 201525
14 201725
15 201619
16 201018
17 201217
18 201113
19 201313
20 202313

About Florence Cour

Florence Cour is a scholar working on Rheumatology, Psychiatry and Mental health, Clinical Psychology, Urology and Statistics, Probability and Uncertainty, having authored 57 papers that have together received 781 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (27 papers), Sexual function and dysfunction studies (17 papers), Urinary Bladder and Prostate Research (2 papers), Child Abuse and Trauma (2 papers), Meta-analysis and systematic reviews (1 paper), Testicular diseases and treatments (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Rheumatology (423 citations), Urology (62 citations), Psychiatry and Mental health (128 citations), Statistics, Probability and Uncertainty (6 citations) and Surgery (34 citations). Florence Cour has collaborated with scholars based in France. Frequent co-authors include Emmanuel Jean Chartier-Kastler, Morgan Rouprêt A, Vincent Misraï, François Richard, Christophe Vaessen, Thierry Lebrét, Pierre Costa, Henry Botto, A Haertig and Jean‐François Hermieu. Their work appears in journals such as International Urogynecology Journal, European Urology, The Journal of Urology, Urology and International Journal of Impotence Research.

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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