Sebastien Haneuse
- Surgery top 5%
- Physiology top 2%
- Epidemiology top 5%
- Statistics and Probability top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- David ArterburnTyler J. VanderWeelePaul K. CraneS. Bryn AustinEric B. LarsonMary Kay TheisElizabeth KoehlerKaren J. Coleman
- Topics
- Advanced Causal Inference Techniques (41 papers)Statistical Methods and Bayesian Inference (41 papers)Statistical Methods and Inference (34 papers)
- Journals
- JAMAJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesEthiopiaCanada
In The Last Decade
Sebastien Haneuse
206 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Surgery 1.0k
- Physiology 899
- Epidemiology 763
- Statistics and Probability 663
- Cardiology and Cardiovascular Medicine 634
Countries citing papers authored by Sebastien Haneuse
This map shows the geographic impact of Sebastien Haneuse'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 Sebastien Haneuse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastien Haneuse more than expected).
Fields of papers citing papers by Sebastien Haneuse
This network shows the impact of papers produced by Sebastien Haneuse. 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 Sebastien Haneuse. The network helps show where Sebastien Haneuse may publish in the future.
Co-authorship network of co-authors of Sebastien Haneuse
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastien Haneuse. A scholar is included among the top collaborators of Sebastien Haneuse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastien Haneuse. Sebastien Haneuse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 26 | |
| 15 | 96 | |
| 16 | 9 | |
| 17 | 20 | |
| 18 | 43 | |
| 19 | osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies | 1 |
| 20 | 98 |
About Sebastien Haneuse
Sebastien Haneuse is a scholar working on Statistics and Probability, Pharmacy and Geriatrics and Gerontology, having authored 224 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (41 papers), Statistical Methods and Bayesian Inference (41 papers) and Statistical Methods and Inference (34 papers). The work is most often cited by research in Statistics and Probability (663 citations), Pharmacy (200 citations) and Psychiatry and Mental health (597 citations). Sebastien Haneuse has collaborated with scholars based in United States, Ethiopia and Canada. Frequent co-authors include David Arterburn, Tyler J. VanderWeele, Paul K. Crane, S. Bryn Austin, Eric B. Larson, Mary Kay Theis, Elizabeth Koehler, Karen J. Coleman, Andy Bogart and Michael J. Daniels. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.