José A. Perea
- Computational Theory and Mathematics top 2%
- Radiology, Nuclear Medicine and Imaging
- Biophysics top 5%
- Computer Vision and Pattern Recognition top 10%
- Mathematical Physics top 10%
- Co-authors
- John HarerAnastasia DeckardSteven B. HaaseGunnar CarlssonElizabeth MunchFiras A. KhasawnehS. ManjunathAarti Sathyanarayana
- Topics
- Topological and Geometric Data Analysis (14 papers)Advanced Neuroimaging Techniques and Applications (6 papers)Neural dynamics and brain function (3 papers)
- Journals
- The Journal of the Acoustical Society of AmericaBMC BioinformaticsInternational Journal of Computer Vision
- Partner nations
- United StatesMexicoBelarus
In The Last Decade
José A. Perea
14 papers receiving 342 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 289
- Radiology, Nuclear Medicine and Imaging 81
- Biophysics 65
- Computer Vision and Pattern Recognition 60
- Mathematical Physics 56
Countries citing papers authored by José A. Perea
This map shows the geographic impact of José A. Perea'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 José A. Perea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Perea more than expected).
Fields of papers citing papers by José A. Perea
This network shows the impact of papers produced by José A. Perea. 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 José A. Perea. The network helps show where José A. Perea may publish in the future.
Co-authorship network of co-authors of José A. Perea
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Perea. A scholar is included among the top collaborators of José A. Perea 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 José A. Perea. José A. Perea 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 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | 81 | |
| 15 | 155 | |
| 16 | 29 |
About José A. Perea
José A. Perea is a scholar working on Computational Theory and Mathematics, Biophysics and Mathematical Physics, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (14 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Computational Theory and Mathematics (289 citations), Biophysics (65 citations) and Mathematical Physics (56 citations). José A. Perea has collaborated with scholars based in United States, Mexico and Belarus. Frequent co-authors include John Harer, Anastasia Deckard, Steven B. Haase, Gunnar Carlsson, Elizabeth Munch, Firas A. Khasawneh, S. Manjunath, Aarti Sathyanarayana, Michael Lin and John E. Ellis. Their work appears in journals such as The Journal of the Acoustical Society of America, BMC Bioinformatics and International Journal of Computer Vision.
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.