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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- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 12
- Statistical Methods and Applications 3
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- Advanced Statistical Process Monitoring 7
- Co-authors
- Théo Gasser (3 shared papers)Vı́ctor J. Yohai (2 shared papers)Valentin Rousson (1 shared paper)Luciano Molinari (1 shared paper)Patrick A. Carter (1 shared paper)
- Journals
- Biometrika (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)Spatial Statistics (2 papers)Canadian Journal of Statistics (2 papers)Statistica Sinica (2 papers)
- Partner nations
- United StatesSwitzerlandArgentina
In The Last Decade
Daniel Gervini
21 papers receiving 504 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 324
- Statistics, Probability and Uncertainty 138
- Analytical Chemistry 49
- Signal Processing 52
- Geometry and Topology 36
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 5 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 121 | |
| 2 | 2004 | 102 | |
| 3 | 2008 | 82 | |
| 4 | 2005 | 40 | |
| 5 | 2011 | 28 | |
| 6 | 2003 | 24 | |
| 7 | 2006 | 22 | |
| 8 | 2002 | 20 | |
| 9 | 2004 | 19 | |
| 10 | 2004 | 18 | |
| 11 | 2008 | 17 | |
| 12 | 1998 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 8 | |
| 15 | 2004 | 5 | |
| 16 | 2014 | 4 | |
| 17 | 2009 | 2 | |
| 18 | 2008 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Daniel Gervini
Daniel Gervini is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Applied Mathematics, Artificial Intelligence and Signal Processing, having authored 22 papers that have together received 541 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (12 papers), Advanced Statistical Process Monitoring (7 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Applications (3 papers), Point processes and geometric inequalities (3 papers), Spatial and Panel Data Analysis (3 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Statistics and Probability (324 citations), Statistics, Probability and Uncertainty (138 citations), Analytical Chemistry (49 citations), Signal Processing (52 citations) and Geometry and Topology (36 citations). Daniel Gervini has collaborated with scholars based in United States, Switzerland and Argentina. Frequent co-authors include Théo Gasser, Vı́ctor J. Yohai, Valentin Rousson, Luciano Molinari and Patrick A. Carter. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology), Spatial Statistics, Canadian Journal of Statistics and Statistica Sinica.
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.