Javier Cabrera
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
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- Data Visualization and Analytics
- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 2
- Co-authors
- Dhammika AmaratungaYung-Seop LeeDianne CookAndreas BujaDebopriya GhoshPeter MeerCatherine HurleyMan Ho Ling
- Journals
- Journal of Computational and Graphical Statistics (4 papers)Statistics in Biopharmaceutical Research (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Journal of Computational Biology (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Javier Cabrera
22 papers receiving 688 citations
Peers
Comparison fields: 5 of 148
- Statistics and Probability 84
- Computer Vision and Pattern Recognition 143
- Safety, Risk, Reliability and Quality 53
- Artificial Intelligence 184
- Signal Processing 49
Countries citing papers authored by Javier Cabrera
This map shows the geographic impact of Javier Cabrera'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 Javier Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Cabrera more than expected).
Fields of papers citing papers by Javier Cabrera
This network shows the impact of papers produced by Javier Cabrera. 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 Javier Cabrera. The network helps show where Javier Cabrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Cabrera, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 68 | |
| 8 | 2021 | 51 | |
| 9 | 2021 | 0 | |
| 10 | 2014 | 9 | |
| 11 | 2014 | 5 | |
| 12 | 2008 | 157 | |
| 13 | 2007 | 8 | |
| 14 | 2006 | 15 | |
| 15 | 2003 | 78 | |
| 16 | 2001 | 85 | |
| 17 | 1997 | 54 | |
| 18 | 1995 | 62 | |
| 19 | 1993 | 50 | |
| 20 | Some stationary Markov processes in discrete time for unit vectors | 1987 | 8 |
About Javier Cabrera
Javier Cabrera is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Instrumentation, Obstetrics and Gynecology and Safety, Risk, Reliability and Quality, having authored 27 papers that have together received 730 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (2 papers), Face and Expression Recognition (2 papers), Advanced Clustering Algorithms Research (2 papers), Reliability and Maintenance Optimization (2 papers), Pregnancy and preeclampsia studies (1 paper) and Maternal and fetal healthcare (1 paper). The work is most often cited by research in Statistics and Probability (84 citations), Computer Vision and Pattern Recognition (143 citations), Safety, Risk, Reliability and Quality (53 citations), Artificial Intelligence (184 citations) and Signal Processing (49 citations). Javier Cabrera has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Dhammika Amaratunga, Yung-Seop Lee, Dianne Cook, Andreas Buja, Debopriya Ghosh, Peter Meer, Catherine Hurley, Man Ho Ling, Denis Y. W. Yu and Kwok‐Leung Tsui. Their work appears in journals such as Journal of Computational and Graphical Statistics, Statistics in Biopharmaceutical Research, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Computational Biology and Bioinformatics.
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.