Aurélien Latouche
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Health top 5%
- Health disparities and outcomes
Papers in
-
- Statistical Methods in Clinical Trials 19
- Statistical Methods and Inference 18
- Advanced Causal Inference Techniques 9
- Statistical Methods and Bayesian Inference 9
- Oncology 13
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Jason P. FineRaphaël PorcherJan BeyersmannMyriam LabopinArthur AllignolSylvie ChevretGrégoire ReyMargarita Moreno‐Betancur
- Journals
- Statistics in Medicine (7 papers)Biometrical Journal (4 papers)Journal of Clinical Oncology (3 papers)JCO Precision Oncology (2 papers)Epidemiology (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Aurélien Latouche
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Statistics and Probability 444
- Health 153
- Physical Therapy, Sports Therapy and Rehabilitation 69
- Transplantation 41
- Hematology 151
Countries citing papers authored by Aurélien Latouche
This map shows the geographic impact of Aurélien Latouche'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 Aurélien Latouche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Latouche more than expected).
Fields of papers citing papers by Aurélien Latouche
This network shows the impact of papers produced by Aurélien Latouche. 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 Aurélien Latouche. The network helps show where Aurélien Latouche may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aurélien Latouche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 86 | |
| 9 | 2019 | 26 | |
| 10 | 2015 | 78 | |
| 11 | 2015 | 92 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 29 | |
| 14 | 2012 | 44 | |
| 15 | 2011 | 17 | |
| 16 | 2010 | 70 | |
| 17 | 2009 | 29 | |
| 18 | 2007 | 62 | |
| 19 | 2007 | 23 | |
| 20 | 2004 | 71 |
About Aurélien Latouche
Aurélien Latouche is a scholar working on Statistics and Probability, Oncology, Health, Developmental Biology and Cancer Research, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Statistical Methods and Inference (18 papers), Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Global Health Care Issues (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Statistics and Probability (444 citations), Health (153 citations), Physical Therapy, Sports Therapy and Rehabilitation (69 citations), Transplantation (41 citations) and Hematology (151 citations). Aurélien Latouche has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jason P. Fine, Raphaël Porcher, Jan Beyersmann, Myriam Labopin, Arthur Allignol, Sylvie Chevret, Grégoire Rey, Margarita Moreno‐Betancur, Martin Schumacher and Anika Buchholz. Their work appears in journals such as Statistics in Medicine, Biometrical Journal, Journal of Clinical Oncology, JCO Precision Oncology and Epidemiology.
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.