Daniel Gervini
Impact in
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
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- Advanced Statistical Process Monitoring
Papers in
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- Advanced Statistical Methods and Models 12
- Statistical Methods and Inference 12
- Statistical Methods and Applications 3
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- Advanced Statistical Process Monitoring 7
- Co-authors
- Vı́ctor J. Yohai (2 shared papers)Théo Gasser (2 shared papers)Valentin Rousson (1 shared paper)Patrick A. Carter (1 shared paper)
- Journals
- Biometrika (3 papers)Canadian Journal of Statistics (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)The American Statistician (1 paper)Biometrics (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Gervini
19 papers receiving 449 citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 303
- Statistics, Probability and Uncertainty 128
- Analytical Chemistry 41
- Signal Processing 45
- Geometry and Topology 29
Countries citing papers authored by Daniel Gervini
This map shows the geographic impact of Daniel Gervini'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 Daniel Gervini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gervini more than expected).
Fields of papers citing papers by Daniel Gervini
This network shows the impact of papers produced by Daniel Gervini. 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 Daniel Gervini. The network helps show where Daniel Gervini may publish in the future.
Co-authors
The 4 scholars most cited alongside Daniel Gervini, 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 | 2002 | 114 | |
| 2 | 2004 | 86 | |
| 3 | 2008 | 77 | |
| 4 | 2005 | 39 | |
| 5 | 2003 | 23 | |
| 6 | 2006 | 22 | |
| 7 | 2011 | 22 | |
| 8 | 2008 | 17 | |
| 9 | 2004 | 17 | |
| 10 | 2002 | 15 | |
| 11 | 1998 | 13 | |
| 12 | 2014 | 11 | |
| 13 | 2014 | 8 | |
| 14 | 2004 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2009 | 2 | |
| 18 | 2008 | 1 | |
| 19 | 2022 | 1 |
About Daniel Gervini
Daniel Gervini is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Signal Processing and Applied Mathematics, having authored 19 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (12 papers), Advanced Statistical Process Monitoring (7 papers), Statistical Methods and Applications (3 papers), Genetic and phenotypic traits in livestock (2 papers), Neural Networks and Applications (2 papers), Blind Source Separation Techniques (2 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Statistics and Probability (303 citations), Statistics, Probability and Uncertainty (128 citations), Analytical Chemistry (41 citations), Signal Processing (45 citations) and Geometry and Topology (29 citations). Daniel Gervini has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Vı́ctor J. Yohai, Théo Gasser, Valentin Rousson and Patrick A. Carter. Their work appears in journals such as Biometrika, Canadian Journal of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), The American Statistician and Biometrics.
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.