G. Mora
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Applied Mathematics top 5%
- Functional Equations Stability Results
- Nonlinear Differential Equations Analysis
Papers in
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- Mathematical functions and polynomials 7
- Meromorphic and Entire Functions 7
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- Mathematical Dynamics and Fractals 13
- Advanced Banach Space Theory 7
- Co-authors
- Y. Cherruault (15 shared papers)Antonio Giménez‐Morera (1 shared paper)Jesús Rodrigo‐Comino (1 shared paper)Enric Terol (1 shared paper)Artemi Cerdà (1 shared paper)José Flich (2 shared papers)J. Duato (2 shared papers)Pedro J. García (3 shared papers)
In The Last Decade
G. Mora
50 papers receiving 468 citations
Peers
Comparison fields: 5 of 69
- Numerical Analysis 92
- Applied Mathematics 135
- Geometry and Topology 108
- Mathematical Physics 108
- Algebra and Number Theory 49
Countries citing papers authored by G. Mora
This map shows the geographic impact of G. Mora'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 G. Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Mora more than expected).
Fields of papers citing papers by G. Mora
This network shows the impact of papers produced by G. Mora. 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 G. Mora. The network helps show where G. Mora may publish in the future.
Co-authors
The 14 scholars most cited alongside G. Mora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 75 | |
| 2 | 2020 | 64 | |
| 3 | 2011 | 30 | |
| 4 | 2006 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2001 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2000 | 16 | |
| 9 | 1998 | 15 | |
| 10 | 2007 | 15 | |
| 11 | 2007 | 14 | |
| 12 | 2000 | 13 | |
| 13 | 1999 | 13 | |
| 14 | The Degree of Convex Nondensifiability in Banach Spaces | 2015 | 11 |
| 15 | 2003 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2011 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 1999 | 8 | |
| 20 | 2022 | 8 |
About G. Mora
G. Mora is a scholar working on Applied Mathematics, Mathematical Physics, Geometry and Topology, Numerical Analysis and Computational Theory and Mathematics, having authored 59 papers that have together received 485 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (13 papers), Analytic Number Theory Research (10 papers), Advanced Optimization Algorithms Research (8 papers), Optimization and Variational Analysis (7 papers), Advanced Banach Space Theory (7 papers), Mathematical functions and polynomials (7 papers), Advanced Numerical Analysis Techniques (7 papers) and Meromorphic and Entire Functions (7 papers). The work is most often cited by research in Numerical Analysis (92 citations), Applied Mathematics (135 citations), Geometry and Topology (108 citations), Mathematical Physics (108 citations) and Algebra and Number Theory (49 citations). G. Mora has collaborated with scholars based in Spain, France and Paraguay. Frequent co-authors include Y. Cherruault, Antonio Giménez‐Morera, Jesús Rodrigo‐Comino, Enric Terol, Artemi Cerdà, José Flich, J. Duato, Pedro J. García, Pedro López and Olav Lysne. Their work appears in journals such as Kybernetes, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas, Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications and Bulletin of the London 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.