Arnoldo Frigessi
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 13
- Markov Chains and Monte Carlo Methods 10
- Finance top 1%
- Global and Planetary Change top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 8
- Breast Cancer Treatment Studies 7
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 10
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- Gene expression and cancer classification 17
- Bioinformatics and Genomic Networks 8
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- Bayesian Methods and Mixture Models 11
- Co-authors
- Kjersti AasClaudia CzadoOle Christian LingjærdeIngrid Hobæk HaffMagne AldrinVessela N. KristensenAnne‐Lise Børresen‐DaleHåvard Rue
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (1 paper)Journal of the American Statistical Association (2 papers)
- Partner nations
- NorwayItalyUnited States
In The Last Decade
Arnoldo Frigessi
116 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 732
- Finance 729
- Global and Planetary Change 608
- Cancer Research 388
- Modeling and Simulation 115
Countries citing papers authored by Arnoldo Frigessi
This map shows the geographic impact of Arnoldo Frigessi'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 Arnoldo Frigessi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnoldo Frigessi more than expected).
Fields of papers citing papers by Arnoldo Frigessi
This network shows the impact of papers produced by Arnoldo Frigessi. 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 Arnoldo Frigessi. The network helps show where Arnoldo Frigessi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnoldo Frigessi, 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 | 2024 | 1 | |
| 2 | 2023 | 11 | |
| 3 | 2022 | 9 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 6 | |
| 7 | 2017 | 5 | |
| 8 | Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014 | 2016 | 3 |
| 9 | 2014 | 71 | |
| 10 | 2014 | 139 | |
| 11 | Bayesian inference from rank data | 2014 | 1 |
| 12 | 2012 | 11 | |
| 13 | 2012 | 30 | |
| 14 | 2011 | 33 | |
| 15 | 2009 | 167 | |
| 16 | 2008 | 172 | |
| 17 | 2007 | 4 | |
| 18 | 2005 | 28 | |
| 19 | Handling non-extreme events in extreme value modelling of streamflow droughts | 2002 | 11 |
| 20 | 1989 | 1 |
About Arnoldo Frigessi
Arnoldo Frigessi is a scholar working on Statistics and Probability, Modeling and Simulation and Cancer Research, having authored 121 papers that have together received 4.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (11 papers), COVID-19 epidemiological studies (10 papers), Markov Chains and Monte Carlo Methods (10 papers), Cancer Genomics and Diagnostics (8 papers), Bioinformatics and Genomic Networks (8 papers) and Breast Cancer Treatment Studies (7 papers). The work is most often cited by research in Statistics and Probability (732 citations), Finance (729 citations) and Global and Planetary Change (608 citations). Arnoldo Frigessi has collaborated with scholars based in Norway, Italy and United States. Frequent co-authors include Kjersti Aas, Claudia Czado, Ole Christian Lingjærde, Ingrid Hobæk Haff, Magne Aldrin, Vessela N. Kristensen, Anne‐Lise Børresen‐Dale, Håvard Rue, Ingrid Agartz and Hans Kristian Moen Vollan. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.
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.