Diego Kuonen
Impact in
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- HIV Research and Treatment
Papers in
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- Probability and Statistical Research 4
- Statistical Distribution Estimation and Applications 2
- Advanced Statistical Methods and Models 2
- Statistical Methods and Inference 2
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- Data Analysis with R 3
- Co-authors
- Alessandro Massolo (1 shared paper)Rodolphe Schlaepfer (1 shared paper)Christian Glenz (1 shared paper)Anthony C. Davison (1 shared paper)Jean‐Claude Walser (1 shared paper)Christoph Scheidegger (1 shared paper)Félix Gugerli (1 shared paper)Rolf Holderegger (1 shared paper)
- Journals
- The American Statistician (1 paper)Journal of Statistical Software (1 paper)Biometrika (1 paper)Landscape and Urban Planning (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Diego Kuonen
14 papers receiving 312 citations
Peers
Comparison fields: 5 of 69
- Ecological Modeling 16
- Virology 22
- Statistics and Probability 61
- Genetics 75
- Ecology 54
Countries citing papers authored by Diego Kuonen
This map shows the geographic impact of Diego Kuonen'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 Diego Kuonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Kuonen more than expected).
Fields of papers citing papers by Diego Kuonen
This network shows the impact of papers produced by Diego Kuonen. 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 Diego Kuonen. The network helps show where Diego Kuonen may publish in the future.
Co-authors
The 21 scholars most cited alongside Diego Kuonen, 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 | 1999 | 114 | |
| 2 | 2001 | 68 | |
| 3 | 2004 | 45 | |
| 4 | 2001 | 29 | |
| 5 | An introduction to the bootstrap with applications in R | 2002 | 24 |
| 6 | Challenges in Bioinformatics for Statistical Data Miners | 2003 | 19 |
| 7 | 2003 | 15 | |
| 8 | 2001 | 6 | |
| 9 | 2005 | 6 | |
| 10 | 2000 | 3 | |
| 11 | 2019 | 3 | |
| 12 | Was France"s World Cup win pure chance? | 2000 | 2 |
| 13 | 2001 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2005 | 1 | |
| 16 | Data mining avec R dans un monde libre | 2001 | 0 |
| 17 | Is Data Mining for Gold "Statistical déjà vu"? | 2005 | 0 |
About Diego Kuonen
Diego Kuonen is a scholar working on Statistics and Probability, Artificial Intelligence, Virology, Numerical Analysis and Information Systems, having authored 17 papers that have together received 339 indexed citations. Recurring topics across this work include Probability and Statistical Research (4 papers), Data Analysis with R (3 papers), Statistical Distribution Estimation and Applications (2 papers), Advanced Statistical Methods and Models (2 papers), Data Mining and Machine Learning Applications (2 papers), Statistical Methods and Inference (2 papers), Management Systems and Quality Improvement (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Ecological Modeling (16 citations), Virology (22 citations), Statistics and Probability (61 citations), Genetics (75 citations) and Ecology (54 citations). Diego Kuonen has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Alessandro Massolo, Rodolphe Schlaepfer, Christian Glenz, Anthony C. Davison, Jean‐Claude Walser, Christoph Scheidegger, Félix Gugerli, Rolf Holderegger, Francesca Mazzetta and Fernando Aiuti. Their work appears in journals such as The American Statistician, Journal of Statistical Software, Biometrika, Landscape and Urban Planning and Clinical & Experimental Immunology.
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.