Italo Capuzzo-Dolcetta

4.0k citations
11 papers · 2.5k indexed · 1 hit paper · h-index 8

Italo Capuzzo-Dolcetta

11 papers receiving 2.3k citations

Hit Papers

Optimal Control and Viscosity Solutions of Hamilton-Jacob...1.7k199720262006201650010001.5k

Peers

Italo Capuzzo-Dolcetta
Comparison fields: 5 of 101
  • Applied Mathematics 743
  • Numerical Analysis 349
  • Modeling and Simulation 292
  • Computational Theory and Mathematics 975
  • Finance 508
Replace Martino Bardi with:
Martino Bardi Italy
L. C. Evans United States
Pierre Cardaliaguet France
David Applebaum United Kingdom
Yves Achdou France
Marc Quincampoix France
E. N. Barron United States
Jean‐Michel Lasry France
John S. Maybee United States
Zvi Artstein Israel
Italo Capuzzo-Dolcetta relative to Martino Bardi Italy Martino Bardi's profile →
Citations per field
00.5×
Martino Bardi · 1×
Citations per year

Countries citing papers authored by Italo Capuzzo-Dolcetta

Since Specialization
Citations

This map shows the geographic impact of Italo Capuzzo-Dolcetta'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 Italo Capuzzo-Dolcetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Italo Capuzzo-Dolcetta more than expected).

Fields of papers citing papers by Italo Capuzzo-Dolcetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Italo Capuzzo-Dolcetta. 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 Italo Capuzzo-Dolcetta. The network helps show where Italo Capuzzo-Dolcetta may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Italo Capuzzo-Dolcetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Italo Capuzzo-Dolcetta Line = papers co-authored together Italo Capuzzo-Dolcetta links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201354
2 2012122
3 2010210
4 20084
5 200532
6 200152
7
Optimal Control and Viscosity Solutions of Hamilton-Jacobi-Bellman Equationsbreakdown →
19971667
8 1995180
9
Problèmes elliptiques indéfinis et théorèmes de Liouville non linéaires.
19931
10 1990158
11
Hamilton-Jacobi Equations and State-Constraints Problems
19876

About Italo Capuzzo-Dolcetta

Italo Capuzzo-Dolcetta is a scholar working on Applied Mathematics, Finance and Mathematical Physics, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (4 papers), Stochastic processes and financial applications (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Stochastic processes and statistical mechanics (2 papers), Mathematical Dynamics and Fractals (2 papers), Optimization and Variational Analysis (1 paper), Cosmology and Gravitation Theories (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Applied Mathematics (743 citations), Numerical Analysis (349 citations) and Modeling and Simulation (292 citations). Italo Capuzzo-Dolcetta has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Martino Bardi, Yves Achdou, Pierre‐Louis Lions, Henri Berestycki, Louis Nirenberg, Fabio Camilli, Antonio Vitolo, Fabiana Leoni and H. Berestycki. Their work appears in journals such as SIAM Journal on Numerical Analysis, Transactions of the American Mathematical Society and SIAM Journal on Control and Optimization.

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.

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