Emmanuel Zuber
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
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- Optimal Experimental Design Methods
Papers in
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- Statistical Methods in Clinical Trials 9
- Advanced Causal Inference Techniques 3
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- Health Systems, Economic Evaluations, Quality of Life 6
- Co-authors
- Michael Branson (3 shared papers)Frank Bretz (5 shared papers)Paul P. Gallo (2 shared papers)Werner Brannath (1 shared paper)Martin Posch (1 shared paper)Mikhail Yu Biakhov (1 shared paper)Christian Peschel (1 shared paper)Jerzy Załuski (1 shared paper)
- Journals
- Statistics in Biopharmaceutical Research (4 papers)Statistics in Medicine (2 papers)Future Oncology (1 paper)Annals of Oncology (1 paper)Journal of Biopharmaceutical Statistics (1 paper)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Emmanuel Zuber
13 papers receiving 413 citations
Peers
Comparison fields: 5 of 67
- Statistics and Probability 200
- Management Science and Operations Research 79
- Pulmonary and Respiratory Medicine 126
- Gastroenterology 17
- Economics and Econometrics 87
Countries citing papers authored by Emmanuel Zuber
This map shows the geographic impact of Emmanuel Zuber'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 Emmanuel Zuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Zuber more than expected).
Fields of papers citing papers by Emmanuel Zuber
This network shows the impact of papers produced by Emmanuel Zuber. 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 Emmanuel Zuber. The network helps show where Emmanuel Zuber may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Zuber, 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 | 2009 | 148 | |
| 2 | 2004 | 136 | |
| 3 | 2012 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2011 | 25 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2024 | 9 | |
| 9 | 2002 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2024 | 1 |
About Emmanuel Zuber
Emmanuel Zuber is a scholar working on Statistics and Probability, Economics and Econometrics, Cancer Research, Oncology and Management Science and Operations Research, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Causal Inference Techniques (3 papers), CAR-T cell therapy research (2 papers), Optimal Experimental Design Methods (2 papers), CNS Lymphoma Diagnosis and Treatment (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Statistics and Probability (200 citations), Management Science and Operations Research (79 citations), Pulmonary and Respiratory Medicine (126 citations), Gastroenterology (17 citations) and Economics and Econometrics (87 citations). Emmanuel Zuber has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Michael Branson, Frank Bretz, Paul P. Gallo, Werner Brannath, Martin Posch, Mikhail Yu Biakhov, Christian Peschel, Jerzy Załuski, Carla Barone and Vahur Valvere. Their work appears in journals such as Statistics in Biopharmaceutical Research, Statistics in Medicine, Future Oncology, Annals of Oncology and Journal of Biopharmaceutical Statistics.
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.