Riccardo Cambini
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 10%
- Computational Mechanics
- Co-authors
- Giorgio GalloMaria Grazia ScutellàLaura CarosiBruno CheliGianni BettiPankaj GuptaRossana RiccardiS. S. Appadoo
- Topics
- Optimization and Variational Analysis (30 papers)Advanced Optimization Algorithms Research (26 papers)Optimization and Mathematical Programming (10 papers)
In The Last Decade
Riccardo Cambini
38 papers receiving 279 citations
Peers
Comparison fields: 5 of 56
- Numerical Analysis 199
- Computational Theory and Mathematics 163
- Control and Systems Engineering 89
- Industrial and Manufacturing Engineering 38
- Computational Mechanics 34
Countries citing papers authored by Riccardo Cambini
This map shows the geographic impact of Riccardo Cambini'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 Riccardo Cambini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Cambini more than expected).
Fields of papers citing papers by Riccardo Cambini
This network shows the impact of papers produced by Riccardo Cambini. 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 Riccardo Cambini. The network helps show where Riccardo Cambini may publish in the future.
Co-authorship network of co-authors of Riccardo Cambini
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Cambini. A scholar is included among the top collaborators of Riccardo Cambini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riccardo Cambini. Riccardo Cambini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | Conic efficiency and duality in nondifferentiable multiobjective mathematical programming | 3 |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | Multiobjective problems with set constraints: from necessary optimality conditions to duality results | 1 |
| 15 | 4 | |
| 16 | 1 | |
| 17 | A Statistical Model for the Dynamics Between Two Fuzzy States: Theory and an Application to Poverty Analysis | 22 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Riccardo Cambini
Riccardo Cambini is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering, having authored 45 papers that have together received 300 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (30 papers), Advanced Optimization Algorithms Research (26 papers) and Optimization and Mathematical Programming (10 papers). The work is most often cited by research in Numerical Analysis (199 citations), Computational Theory and Mathematics (163 citations) and Control and Systems Engineering (89 citations). Riccardo Cambini has collaborated with scholars based in Italy, Spain and Canada. Frequent co-authors include Giorgio Gallo, Maria Grazia Scutellà, Laura Carosi, Bruno Cheli, Gianni Betti, Pankaj Gupta, Rossana Riccardi, S. S. Appadoo, Manuel Arana‐Jiménez and Prakash C. Jha. Their work appears in journals such as European Journal of Operational Research, Mathematical Programming and Annals of Operations Research.
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.