Jorge M. Arevalillo
Impact in
- Computational Mathematics top 10%
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Distribution Estimation and Applications 11
- Statistical Methods and Inference 4
- Advanced Statistical Methods and Models 4
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- Gene expression and cancer classification 8
- Bioinformatics and Genomic Networks 5
- Co-authors
- Hilario Navarro (22 shared papers)Angelo Gámez‐Pozo (9 shared papers)Juan Ángel Fresno Vara (9 shared papers)Mariana Díaz‐Almirón (8 shared papers)Paloma Maı́n (9 shared papers)Enrique Espinosa (8 shared papers)Rocío López‐Vacas (7 shared papers)Lucía Trilla‐Fuertes (8 shared papers)
- Journals
- Test (3 papers)Scientific Reports (3 papers)Oncotarget (2 papers)BMC Cancer (2 papers)Journal of Multivariate Analysis (2 papers)
- Partner nations
- SpainSwitzerlandGermany
In The Last Decade
Jorge M. Arevalillo
32 papers receiving 337 citations
Peers
Comparison fields: 5 of 95
- Computational Mathematics 10
- Statistics and Probability 58
- Cancer Research 53
- Statistics, Probability and Uncertainty 21
- Finance 24
Countries citing papers authored by Jorge M. Arevalillo
This map shows the geographic impact of Jorge M. Arevalillo'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 Jorge M. Arevalillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge M. Arevalillo more than expected).
Fields of papers citing papers by Jorge M. Arevalillo
This network shows the impact of papers produced by Jorge M. Arevalillo. 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 Jorge M. Arevalillo. The network helps show where Jorge M. Arevalillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge M. Arevalillo, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2015 | 42 | |
| 3 | 2017 | 31 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2012 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 2013 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2011 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 5 |
About Jorge M. Arevalillo
Jorge M. Arevalillo is a scholar working on Statistics and Probability, Molecular Biology, Finance, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 34 papers that have together received 340 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (11 papers), Gene expression and cancer classification (8 papers), Financial Risk and Volatility Modeling (6 papers), Probabilistic and Robust Engineering Design (6 papers), Bioinformatics and Genomic Networks (5 papers), Statistical Methods and Inference (4 papers), Advanced Statistical Methods and Models (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Statistics and Probability (58 citations), Cancer Research (53 citations), Statistics, Probability and Uncertainty (21 citations) and Finance (24 citations). Jorge M. Arevalillo has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Hilario Navarro, Angelo Gámez‐Pozo, Juan Ángel Fresno Vara, Mariana Díaz‐Almirón, Paloma Maı́n, Enrique Espinosa, Rocío López‐Vacas, Lucía Trilla‐Fuertes, Pilar Zamora and Jaime Feliú. Their work appears in journals such as Test, Scientific Reports, Oncotarget, BMC Cancer and Journal of Multivariate 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.