Nicolas Savy
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Finance top 10%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Inference 5
- Advanced Causal Inference Techniques 3
- Statistical Methods and Bayesian Inference 2
- Finance 5
- Stochastic processes and financial applications 5
- Financial Risk and Volatility Modeling 3
- Co-authors
- Bernard Bercu (3 shared papers)Laure Coutin (2 shared papers)Monique Pontier (2 shared papers)Sandrine Andrieu (3 shared papers)Dominique Dedieu (2 shared papers)Jean‐François Dupuy (3 shared papers)Thierry Lang (2 shared papers)Fabien Panloup (2 shared papers)
In The Last Decade
Nicolas Savy
28 papers receiving 270 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 81
- Finance 81
- Obstetrics and Gynecology 19
- Virology 10
- Economics and Econometrics 52
Countries citing papers authored by Nicolas Savy
This map shows the geographic impact of Nicolas Savy'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 Nicolas Savy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Savy more than expected).
Fields of papers citing papers by Nicolas Savy
This network shows the impact of papers produced by Nicolas Savy. 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 Nicolas Savy. The network helps show where Nicolas Savy may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Savy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 32 | |
| 2 | 2012 | 21 | |
| 3 | 2011 | 20 | |
| 4 | 2012 | 19 | |
| 5 | 2016 | 19 | |
| 6 | 2014 | 15 | |
| 7 | 2012 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2014 | 12 | |
| 11 | 2012 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2014 | 6 | |
| 20 | 2018 | 4 |
About Nicolas Savy
Nicolas Savy is a scholar working on Statistics and Probability, Finance, Economics and Econometrics, Complementary and alternative medicine and Hematology, having authored 29 papers that have together received 274 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Inference (5 papers), Stochastic processes and financial applications (5 papers), Financial Risk and Volatility Modeling (3 papers), Advanced Causal Inference Techniques (3 papers), Ginkgo biloba and Cashew Applications (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (81 citations), Finance (81 citations), Obstetrics and Gynecology (19 citations), Virology (10 citations) and Economics and Econometrics (52 citations). Nicolas Savy has collaborated with scholars based in France, Cuba and Canada. Frequent co-authors include Bernard Bercu, Laure Coutin, Monique Pontier, Sandrine Andrieu, Dominique Dedieu, Jean‐François Dupuy, Thierry Lang, Fabien Panloup, Valérie Garès and Benoît Lepage. Their work appears in journals such as Statistics in Medicine, The International Journal of Biostatistics, Pharmacoepidemiology and Drug Safety, Arthritis Care & Research and Stochastic Processes and their Applications.
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.