Stéphane Héritier

9.1k citations
133 papers · 3.6k indexed · 1 hit paper · h-index 33

Stéphane Héritier

122 papers receiving 3.5k citations

Hit Papers

Intensive blood pressure reduction in acute cerebral haem...5042008202620142020100200300400500

Peers

Stéphane Héritier
Comparison fields: 5 of 176
  • Statistics and Probability 512
  • Neurology 801
  • Physical Therapy, Sports Therapy and Rehabilitation 149
  • Statistics, Probability and Uncertainty 187
  • Critical Care and Intensive Care Medicine 118
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Richard Madsen United States
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Citations per field
00.5×
Richard Madsen · 1×
Citations per year

Countries citing papers authored by Stéphane Héritier

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Héritier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20244
5 20241
6 20245
7 20234
8 202313
9 20209
10 201917
11 201940
12 201917
13
The course and contributors to back pain in middle-aged women over nine years: data from the Australian longitudinal study of women's health
20182
14 201815
15 20175
16 201438
17 2014205
18 201219
19
A SURVEY OF NOVICE RIDERS AND THEIR RIDING EXPERIENCE PRIOR TO LICENSING.
20107
20 200946

About Stéphane Héritier

Stéphane Héritier is a scholar working on Statistics and Probability, Occupational Therapy, Pharmacology, Biochemistry and Neurology, having authored 133 papers that have together received 3.6k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (18 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Statistical Methods in Clinical Trials (15 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (12 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Occupational Health and Performance (9 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Statistics and Probability (512 citations), Neurology (801 citations), Physical Therapy, Sports Therapy and Rehabilitation (149 citations), Statistics, Probability and Uncertainty (187 citations) and Critical Care and Intensive Care Medicine (118 citations). Stéphane Héritier has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Val Gebski, Elvezio Ronchetti, Anthony Keech, Eva Cantoni, Craig S. Anderson, Hisatomi Arima, Andrew Forbes, Samuel Copt, Flavia Cicuttini and Maria‐Pia Victoria‐Feser. Their work appears in journals such as Statistics in Medicine, Journal of Clinical Oncology, Osteoarthritis and Cartilage, Computational Statistics & Data Analysis and Neurology.

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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