Teresa D’Aprile
- Applied Mathematics top 0.5%
- Nonlinear Partial Differential Equations 35
- Nonlinear Differential Equations Analysis 3
- Mathematical Physics top 1%
- Advanced Mathematical Physics Problems 19
- Spectral Theory in Mathematical Physics 9
- Numerical methods in inverse problems 5
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering 25
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods 8
-
- Nonlinear Waves and Solitons 2
- Co-authors
- Dimitri MugnaiJuncheng WeiAngela PistoiaVieri BenciMarino BadialeDavid RuizGaetano SicilianoDonato Fortunato
In The Last Decade
Teresa D’Aprile
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 30
- Applied Mathematics 985
- Mathematical Physics 725
- Computational Theory and Mathematics 722
- Numerical Analysis 143
- Statistical and Nonlinear Physics 86
Countries citing papers authored by Teresa D’Aprile
This map shows the geographic impact of Teresa D’Aprile'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 Teresa D’Aprile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa D’Aprile more than expected).
Fields of papers citing papers by Teresa D’Aprile
This network shows the impact of papers produced by Teresa D’Aprile. 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 Teresa D’Aprile. The network helps show where Teresa D’Aprile may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Teresa D’Aprile, 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 | 2022 | 0 | |
| 2 | 2020 | 3 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 1 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 9 | |
| 8 | 2015 | 4 | |
| 9 | 2009 | 27 | |
| 10 | 2009 | 20 | |
| 11 | 2009 | 3 | |
| 12 | 2008 | 1 | |
| 13 | 2007 | 6 | |
| 14 | 2006 | 11 | |
| 15 | 2006 | 8 | |
| 16 | 2006 | 7 | |
| 17 | 2004 | 248 | |
| 18 | 2004 | 1 | |
| 19 | 2002 | 34 | |
| 20 | 2001 | 11 |
About Teresa D’Aprile
Teresa D’Aprile is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (35 papers), Advanced Mathematical Modeling in Engineering (25 papers), Advanced Mathematical Physics Problems (19 papers), Spectral Theory in Mathematical Physics (9 papers), Differential Equations and Numerical Methods (8 papers), Numerical methods in inverse problems (5 papers), Nonlinear Differential Equations Analysis (3 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Applied Mathematics (985 citations), Mathematical Physics (725 citations), Computational Theory and Mathematics (722 citations), Numerical Analysis (143 citations) and Statistical and Nonlinear Physics (86 citations). Teresa D’Aprile has collaborated with scholars based in Italy, Spain and Hong Kong. Frequent co-authors include Dimitri Mugnai, Juncheng Wei, Angela Pistoia, Vieri Benci, Marino Badiale, David Ruiz, Gaetano Siciliano, Donato Fortunato, Antonio Azzollini and Piermarco Cannarsa. Their work appears in journals such as Calculus of Variations and Partial Differential Equations, Journal of Differential Equations, Advances in Differential Equations, Annales de l Institut Henri Poincaré C Analyse Non Linéaire and Journal of Functional Analysis.
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.