Jorge M. Arevalillo
- Molecular Biology
- Cancer Research
- Statistics and Probability top 5%
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Hilario NavarroAngelo Gámez‐PozoJuan Ángel Fresno VaraMariana Díaz‐AlmirónEnrique EspinosaPaloma Maı́nRocío López‐VacasLucía Trilla‐Fuertes
- Topics
- Statistical Distribution Estimation and Applications (11 papers)Gene expression and cancer classification (7 papers)Probabilistic and Robust Engineering Design (6 papers)
- Partner nations
- SpainSwitzerlandGermany
In The Last Decade
Jorge M. Arevalillo
31 papers receiving 283 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 85
- Cancer Research 58
- Statistics and Probability 56
- Oncology 50
- Pulmonary and Respiratory Medicine 42
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-authorship network of co-authors of Jorge M. Arevalillo
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge M. Arevalillo. A scholar is included among the top collaborators of Jorge M. Arevalillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge M. Arevalillo. Jorge M. Arevalillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 50 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 22 | |
| 13 | 16 | |
| 14 | 39 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | A second order approximation for the inverse of the distribution function of the sample mean | 2 |
About Jorge M. Arevalillo
Jorge M. Arevalillo is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 32 papers that have together received 287 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (11 papers), Gene expression and cancer classification (7 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Computational Mathematics (9 citations), Statistics and Probability (56 citations) and Cancer Research (58 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, Enrique Espinosa, Paloma Maı́n, Rocío López‐Vacas, Lucía Trilla‐Fuertes, Pilar Zamora and Jaime Feliú. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.
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.