Diego Kuonen
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 4
- Advanced Statistical Methods and Models 3
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Christian Glenz (1 shared paper)Alessandro Massolo (1 shared paper)Rodolphe Schlaepfer (1 shared paper)A. C. Davison (1 shared paper)Tomas Hökfelt (1 shared paper)Kjell Fuxé (1 shared paper)C. Köhler (1 shared paper)Sven Ove Ögren (1 shared paper)
- Journals
- Quality Engineering (1 paper)Landscape and Urban Planning (1 paper)Heredity (1 paper)Journal of Neural Transmission (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- SwitzerlandItalySweden
In The Last Decade
Diego Kuonen
15 papers receiving 350 citations
Peers
Comparison fields: 5 of 106
- Ecological Modeling 35
- Statistics and Probability 47
- Virology 27
- Cellular and Molecular Neuroscience 53
- Ecology, Evolution, Behavior and Systematics 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 25 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 | 105 | |
| 2 | 1981 | 70 | |
| 3 | 2001 | 66 | |
| 4 | 2004 | 47 | |
| 5 | 2001 | 29 | |
| 6 | An introduction to the bootstrap with applications in R | 2002 | 21 |
| 7 | 2003 | 15 | |
| 8 | 2004 | 7 | |
| 9 | 2001 | 6 | |
| 10 | 2000 | 3 | |
| 11 | 2005 | 2 | |
| 12 | 2001 | 2 | |
| 13 | 2022 | 2 | |
| 14 | Numerical Integration in S-PLUS or R: A Survey | 2003 | 1 |
| 15 | 2005 | 1 |
About Diego Kuonen
Diego Kuonen is a scholar working on Statistics and Probability, Ecology, Evolution, Behavior and Systematics, Statistical and Nonlinear Physics, Artificial Intelligence and Immunology, having authored 15 papers that have together received 377 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods and Bayesian Inference (2 papers), Scientific Research and Discoveries (2 papers), Immune Cell Function and Interaction (2 papers), HIV Research and Treatment (1 paper), Mycorrhizal Fungi and Plant Interactions (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Ecological Modeling (35 citations), Statistics and Probability (47 citations), Virology (27 citations), Cellular and Molecular Neuroscience (53 citations) and Ecology, Evolution, Behavior and Systematics (54 citations). Diego Kuonen has collaborated with scholars based in Switzerland, Italy and Sweden. Frequent co-authors include Christian Glenz, Alessandro Massolo, Rodolphe Schlaepfer, A. C. Davison, Tomas Hökfelt, Kjell Fuxé, C. Köhler, Sven Ove Ögren, K. Andersson and L.F. Agnati. Their work appears in journals such as Quality Engineering, Landscape and Urban Planning, Heredity, Journal of Neural Transmission 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.