Guillermo P. Curbera
- Mathematical Physics top 2%
- Advanced Banach Space Theory 35
- Applied Mathematics top 1%
- Advanced Harmonic Analysis Research 25
- Holomorphic and Operator Theory 15
- Nonlinear Partial Differential Equations 5
- Differential Equations and Boundary Problems 4
- Statistics and Probability top 1%
- Approximation Theory and Sequence Spaces 20
- Geometry and Topology top 10%
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- Advanced Mathematical Modeling in Engineering 4
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- Mathematical Approximation and Integration 2
- Co-authors
- Werner J. RickerCarlos PérezJosé María MartellJosé Garcı́a-CuervaС. В. АсташкинGerd MockenhauptAntonio J. DuránKonstantin Tikhomirov
In The Last Decade
Guillermo P. Curbera
44 papers receiving 504 citations
Peers
Comparison fields: 5 of 29
- Mathematical Physics 488
- Applied Mathematics 489
- Statistics and Probability 270
- Algebra and Number Theory 22
- Geometry and Topology 39
Countries citing papers authored by Guillermo P. Curbera
This map shows the geographic impact of Guillermo P. Curbera'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 Guillermo P. Curbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo P. Curbera more than expected).
Fields of papers citing papers by Guillermo P. Curbera
This network shows the impact of papers produced by Guillermo P. Curbera. 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 Guillermo P. Curbera. The network helps show where Guillermo P. Curbera may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Guillermo P. Curbera, 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 | 2023 | 0 | |
| 2 | 2021 | 3 | |
| 3 | 2019 | 5 | |
| 4 | 2019 | 2 | |
| 5 | 2016 | 10 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 1 | |
| 9 | 2013 | 8 | |
| 10 | 2011 | 4 | |
| 11 | 2010 | 1 | |
| 12 | 2009 | 2 | |
| 13 | 2008 | 4 | |
| 14 | 2006 | 32 | |
| 15 | 2006 | 12 | |
| 16 | 2005 | 8 | |
| 17 | 2005 | 76 | |
| 18 | 1997 | 14 | |
| 19 | 1994 | 32 | |
| 20 | El espacio de funciones integrables respecto de una medida vectorial: = The space of integrable functions with respect to a vector measure | 1992 | 4 |
About Guillermo P. Curbera
Guillermo P. Curbera is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 47 papers that have together received 569 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (35 papers), Advanced Harmonic Analysis Research (25 papers), Approximation Theory and Sequence Spaces (20 papers), Holomorphic and Operator Theory (15 papers), Nonlinear Partial Differential Equations (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Differential Equations and Boundary Problems (4 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Mathematical Physics (488 citations), Applied Mathematics (489 citations) and Statistics and Probability (270 citations). Guillermo P. Curbera has collaborated with scholars based in Spain, Germany and Russia. Frequent co-authors include Werner J. Ricker, Carlos Pérez, José María Martell, José Garcı́a-Cuerva, С. В. Асташкин, Gerd Mockenhaupt, Antonio J. Durán, Konstantin Tikhomirov and Susumu Okada. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Advances in Mathematics.
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.