Juan Carlos Peral
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Geometry and Topology top 10%
- Algebra and Number Theory
- Computational Theory and Mathematics top 10%
- Co-authors
- Andrej DujellaTodd CochraneAlberto TorchinskyPh. TchamitchianMiguel EscobedoRamón PereaSantiago Lavı́nIreneo Peral
- Topics
- Algebraic Geometry and Number Theory (14 papers)Analytic Number Theory Research (11 papers)Advanced Algebra and Geometry (5 papers)
- Journals
- Mathematics of ComputationJournal of Functional AnalysisProceedings of the American Mathematical Society
- Partner nations
- SpainCroatiaUnited States
In The Last Decade
Juan Carlos Peral
22 papers receiving 208 citations
Peers
Comparison fields: 5 of 29
- Mathematical Physics 142
- Applied Mathematics 140
- Geometry and Topology 59
- Algebra and Number Theory 53
- Computational Theory and Mathematics 38
Countries citing papers authored by Juan Carlos Peral
This map shows the geographic impact of Juan Carlos Peral'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 Juan Carlos Peral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Carlos Peral more than expected).
Fields of papers citing papers by Juan Carlos Peral
This network shows the impact of papers produced by Juan Carlos Peral. 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 Juan Carlos Peral. The network helps show where Juan Carlos Peral may publish in the future.
Co-authorship network of co-authors of Juan Carlos Peral
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Carlos Peral. A scholar is included among the top collaborators of Juan Carlos Peral 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 Juan Carlos Peral. Juan Carlos Peral is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | ELLIPTIC CURVES AND BIQUADRATES | 0 |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 134 | |
| 19 | 2 | |
| 20 | L[p] estimates for the wave equation | 25 |
About Juan Carlos Peral
Juan Carlos Peral is a scholar working on Algebra and Number Theory, Geometry and Topology and Computational Mathematics, having authored 26 papers that have together received 253 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (14 papers), Analytic Number Theory Research (11 papers) and Advanced Algebra and Geometry (5 papers). The work is most often cited by research in Mathematical Physics (142 citations), Applied Mathematics (140 citations) and Algebra and Number Theory (53 citations). Juan Carlos Peral has collaborated with scholars based in Spain, Croatia and United States. Frequent co-authors include Andrej Dujella, Todd Cochrane, Alberto Torchinsky, Ph. Tchamitchian, Miguel Escobedo, Ramón Perea, Santiago Lavı́n, Ireneo Peral and Emmanuel Serrano. Their work appears in journals such as Mathematics of Computation, Journal of Functional Analysis and Proceedings of the American Mathematical Society.
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.