Frederic Udina
Impact in
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- Advanced Bandit Algorithms Research
- Stock Market Forecasting Methods
- Risk and Portfolio Optimization
- Finance top 5%
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
Papers in
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- Evolutionary Algorithms and Applications 2
- Machine Learning and Algorithms 2
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- Statistical Methods and Inference 4
- Statistical Methods and Bayesian Inference 1
- Co-authors
- László Györfi (2 shared papers)Gábor Lugosi (4 shared papers)Harro Walk (1 shared paper)Nuria Osés‐Eraso (1 shared paper)Jeffrey S. Simonoff (1 shared paper)Luc Devroye (3 shared papers)J. S. Marron (2 shared papers)Cristina Pujades (3 shared papers)
- Journals
- Journal of Statistical Software (4 papers)Environmental and Resource Economics (1 paper)Statistics and Computing (1 paper)Electronic Journal of Probability (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- SpainCanadaUnited Kingdom
In The Last Decade
Frederic Udina
17 papers receiving 342 citations
Peers
Comparison fields: 5 of 85
- Management Science and Operations Research 126
- Finance 96
- Statistics and Probability 54
- Safety Research 24
- Artificial Intelligence 86
Countries citing papers authored by Frederic Udina
This map shows the geographic impact of Frederic Udina'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 Frederic Udina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederic Udina more than expected).
Fields of papers citing papers by Frederic Udina
This network shows the impact of papers produced by Frederic Udina. 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 Frederic Udina. The network helps show where Frederic Udina may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederic Udina, 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 | 2006 | 88 | |
| 2 | 1997 | 57 | |
| 3 | 2008 | 48 | |
| 4 | 2007 | 43 | |
| 5 | 2010 | 25 | |
| 6 | 1997 | 24 | |
| 7 | 2011 | 21 | |
| 8 | 2005 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2005 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 1999 | 5 | |
| 13 | 2000 | 4 | |
| 14 | 2004 | 2 | |
| 15 | Interactive Biplot Construction | 2013 | 1 |
| 16 | 2022 | 1 | |
| 17 | 2000 | 1 |
About Frederic Udina
Frederic Udina is a scholar working on Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Molecular Biology and Mathematical Physics, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Evolutionary Algorithms and Applications (2 papers), Machine Learning and Algorithms (2 papers), Stochastic processes and statistical mechanics (2 papers), Developmental Biology and Gene Regulation (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Management Science and Operations Research (126 citations), Finance (96 citations), Statistics and Probability (54 citations), Safety Research (24 citations) and Artificial Intelligence (86 citations). Frederic Udina has collaborated with scholars based in Spain, Canada and United Kingdom. Frequent co-authors include László Györfi, Gábor Lugosi, Harro Walk, Nuria Osés‐Eraso, Jeffrey S. Simonoff, Luc Devroye, J. S. Marron, Cristina Pujades, András György and Pedro Valero‐Mora. Their work appears in journals such as Journal of Statistical Software, Environmental and Resource Economics, Statistics and Computing, Electronic Journal of Probability and Computational Statistics & Data Analysis.
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.