Sylvain Ehrenfeld
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 5%
- Computational Theory and Mathematics top 10%
- Industrial and Manufacturing Engineering
- Topics
- Advanced Statistical Process Monitoring (6 papers)Optimal Experimental Design Methods (4 papers)Statistical Methods in Clinical Trials (3 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
Sylvain Ehrenfeld
19 papers receiving 197 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 114
- Statistics and Probability 96
- Statistics, Probability and Uncertainty 70
- Computational Theory and Mathematics 39
- Industrial and Manufacturing Engineering 27
Countries citing papers authored by Sylvain Ehrenfeld
This map shows the geographic impact of Sylvain Ehrenfeld'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 Sylvain Ehrenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Ehrenfeld more than expected).
Fields of papers citing papers by Sylvain Ehrenfeld
This network shows the impact of papers produced by Sylvain Ehrenfeld. 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 Sylvain Ehrenfeld. The network helps show where Sylvain Ehrenfeld may publish in the future.
Co-authorship network of co-authors of Sylvain Ehrenfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Ehrenfeld. A scholar is included among the top collaborators of Sylvain Ehrenfeld 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 Sylvain Ehrenfeld. Sylvain Ehrenfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 36 | |
| 15 | 5 | |
| 16 | 13 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 69 |
About Sylvain Ehrenfeld
Sylvain Ehrenfeld is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 23 papers that have together received 244 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (6 papers), Optimal Experimental Design Methods (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (96 citations), Statistics, Probability and Uncertainty (70 citations) and Management Science and Operations Research (114 citations). Sylvain Ehrenfeld has collaborated with scholars based in United States. Frequent co-authors include Sebastián B. Littauer, S. Zacks, L. N. Balaam and D. F. Kerridge. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Management Science.
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.