Philippe Ravaud

58.2k citations
545 papers · 30.5k indexed · 9 hit papers · h-index 92

Philippe Ravaud

528 papers receiving 29.6k citations

Hit Papers

Course of post...161200520262012201950010001.5k

Peers

Philippe Ravaud
Comparison fields: 5 of 211
  • Statistics, Probability and Uncertainty 4.0k
  • Rheumatology 5.3k
  • Health Informatics 341
  • Family Practice 418
  • Hematology 2.0k
Replace Patrick M. Bossuyt with:
Patrick M. Bossuyt Netherlands
Gunn Elisabeth Vist Norway
Regina Kunz Switzerland
Víctor M. Montori United States
M. Hassan Murad United States
Jesse A. Berlin United States
Christopher H. Schmid United States
Henrica C. W. de Vet Netherlands
Paul Glasziou Australia
George A. Wells Canada
Philippe Ravaud relative to Patrick M. Bossuyt Netherlands Patrick M. Bossuyt's profile →
Citations per field
00.5×1.5×2.3×
Patrick M. Bossuyt · 1×
Citations per year

Countries citing papers authored by Philippe Ravaud

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Ravaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20241
3 20244
4 20232
5 202180
6 20215
7 202119
8 202011
9 20206
10 20194
11 201993
12 20184
13 201889
14 2017200
15 2014246
16 201360
17 2013181
18 20117
19 201096
20
Evaluation of clinically relevant changes and states in symptomatic outcome variables in osteoarthritis
20035

About Philippe Ravaud

Philippe Ravaud is a scholar working on Statistics, Probability and Uncertainty, Health Informatics, Rheumatology, Statistics and Probability and Family Practice, having authored 545 papers that have together received 30.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (136 papers), Health Systems, Economic Evaluations, Quality of Life (107 papers), Rheumatoid Arthritis Research and Therapies (69 papers), Statistical Methods in Clinical Trials (56 papers), Osteoarthritis Treatment and Mechanisms (40 papers), Systemic Lupus Erythematosus Research (38 papers), Ethics in Clinical Research (34 papers) and Clinical practice guidelines implementation (30 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (4.0k citations), Rheumatology (5.3k citations), Health Informatics (341 citations), Family Practice (418 citations) and Hematology (2.0k citations). Philippe Ravaud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Isabelle Boutron, David Moher, Douglas G. Altman, Gabriel Baron, Ludovic Trinquart, Kenneth F. Schulz, Agnès Dechartres, Bruno Giraudeau, Viet-Thi Tran and Raphaël Porcher. Their work appears in journals such as Journal of Clinical Epidemiology, Annals of the Rheumatic Diseases, PLoS ONE, BMC Medicine and BMJ Open.

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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2026