M. J. Cánovas
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 2%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- J. ParraMarco A. LópezF. Javier ToledoAsen L. DontchevM. I. TodorovAbderrahim HantouteBoris S. MordukhovichDiethard Klatte
- Topics
- Optimization and Variational Analysis (54 papers)Advanced Optimization Algorithms Research (52 papers)Advanced Control Systems Optimization (8 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Journals
- European Journal of Operational ResearchJournal of Mathematical Analysis and ApplicationsMathematical Programming
- Partner nations
- SpainAustraliaUnited States
In The Last Decade
M. J. Cánovas
51 papers receiving 479 citations
Peers
Comparison fields: 5 of 30
- Computational Theory and Mathematics 442
- Numerical Analysis 422
- Control and Systems Engineering 180
- Management Science and Operations Research 67
- Statistics, Probability and Uncertainty 65
Countries citing papers authored by M. J. Cánovas
This map shows the geographic impact of M. J. Cánovas'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 M. J. Cánovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Cánovas more than expected).
Fields of papers citing papers by M. J. Cánovas
This network shows the impact of papers produced by M. J. Cánovas. 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 M. J. Cánovas. The network helps show where M. J. Cánovas may publish in the future.
Co-authorship network of co-authors of M. J. Cánovas
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Cánovas. A scholar is included among the top collaborators of M. J. Cánovas 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 M. J. Cánovas. M. J. Cánovas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | A Uniform Approach to Hölder Calmness of Subdifferentials | 2 |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | 19 |
About M. J. Cánovas
M. J. Cánovas is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering, having authored 57 papers that have together received 516 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (54 papers), Advanced Optimization Algorithms Research (52 papers) and Advanced Control Systems Optimization (8 papers). The work is most often cited by research in Numerical Analysis (422 citations), Computational Theory and Mathematics (442 citations) and Statistics, Probability and Uncertainty (65 citations). M. J. Cánovas has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include J. Parra, Marco A. López, F. Javier Toledo, Asen L. Dontchev, M. I. Todorov, Abderrahim Hantoute, Boris S. Mordukhovich, Diethard Klatte, R. Henrion and Michel Théra. Their work appears in journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Mathematical Programming.
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.