David Arcoya
Impact in
- Applied Mathematics top 0.5%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Differential Equations and Boundary Problems
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering
Papers in
-
- Nonlinear Partial Differential Equations 50
- Nonlinear Differential Equations Analysis 18
- Differential Equations and Boundary Problems 14
- Geometric Analysis and Curvature Flows 6
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- Advanced Mathematical Modeling in Engineering 46
- Co-authors
- Lucio Boccardo (15 shared papers)Antonio Ambrosetti (7 shared papers)Pedro J. Martínez−Aparicio (9 shared papers)José Carmona (11 shared papers)Luigi Orsina (8 shared papers)David Ruiz (1 shared paper)Tommaso Leonori (6 shared papers)José A. Gámez (1 shared paper)
In The Last Decade
David Arcoya
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 33
- Applied Mathematics 1.1k
- Computational Theory and Mathematics 950
- Mathematical Physics 402
- Numerical Analysis 141
- Modeling and Simulation 36
Countries citing papers authored by David Arcoya
This map shows the geographic impact of David Arcoya'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 David Arcoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Arcoya more than expected).
Fields of papers citing papers by David Arcoya
This network shows the impact of papers produced by David Arcoya. 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 David Arcoya. The network helps show where David Arcoya may publish in the future.
Co-authors
The 25 scholars most cited alongside David Arcoya, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 79 | |
| 2 | 2006 | 75 | |
| 3 | 2009 | 73 | |
| 4 | 1998 | 53 | |
| 5 | 1994 | 53 | |
| 6 | 1997 | 52 | |
| 7 | 2013 | 51 | |
| 8 | 2010 | 47 | |
| 9 | 2001 | 43 | |
| 10 | 2016 | 41 | |
| 11 | 1991 | 37 | |
| 12 | 2011 | 35 | |
| 13 | 1999 | 34 | |
| 14 | 1994 | 33 | |
| 15 | 2008 | 33 | |
| 16 | 2008 | 32 | |
| 17 | 2014 | 29 | |
| 18 | 1995 | 25 | |
| 19 | 2006 | 24 | |
| 20 | 2008 | 24 |
About David Arcoya
David Arcoya is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Control and Systems Engineering, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (50 papers), Advanced Mathematical Modeling in Engineering (46 papers), Nonlinear Differential Equations Analysis (18 papers), Differential Equations and Boundary Problems (14 papers), Numerical methods in inverse problems (12 papers), Differential Equations and Numerical Methods (8 papers), Geometric Analysis and Curvature Flows (6 papers) and Advanced Mathematical Physics Problems (6 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Computational Theory and Mathematics (950 citations), Mathematical Physics (402 citations), Numerical Analysis (141 citations) and Modeling and Simulation (36 citations). David Arcoya has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Lucio Boccardo, Antonio Ambrosetti, Pedro J. Martínez−Aparicio, José Carmona, Luigi Orsina, David Ruiz, Tommaso Leonori, José A. Gámez, B. Buffoni and Jesús Ildefonso Díaz Díaz. Their work appears in journals such as Nonlinear Analysis, Advanced Nonlinear Studies, Differential and Integral Equations, Journal of Differential Equations and Journal of Mathematical Analysis and Applications.
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.