M. I. Todorov
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 2%
- Control and Systems Engineering top 10%
- Applied Mathematics top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Miguel Á. GobernaMarco A. LópezJuan Enrique Martínez-LegazJ. ParraM. J. CánovasAlfredo N. IusemSusana GómezTamás Terlaky
- Topics
- Optimization and Variational Analysis (40 papers)Advanced Optimization Algorithms Research (33 papers)Advanced Control Systems Optimization (8 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsStatistics, Probability and Uncertainty
In The Last Decade
M. I. Todorov
40 papers receiving 397 citations
Peers
Comparison fields: 5 of 29
- Computational Theory and Mathematics 343
- Numerical Analysis 323
- Control and Systems Engineering 114
- Applied Mathematics 73
- Management Science and Operations Research 59
Countries citing papers authored by M. I. Todorov
This map shows the geographic impact of M. I. Todorov'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. I. Todorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. I. Todorov more than expected).
Fields of papers citing papers by M. I. Todorov
This network shows the impact of papers produced by M. I. Todorov. 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. I. Todorov. The network helps show where M. I. Todorov may publish in the future.
Co-authorship network of co-authors of M. I. Todorov
This figure shows the co-authorship network connecting the top 25 collaborators of M. I. Todorov. A scholar is included among the top collaborators of M. I. Todorov 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. I. Todorov. M. I. Todorov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | ILL-POSEDNESS IN CONTINUOUS LINEAR OPTIMIZATION VIA PARTITIONS OF THE SPACE OF PARAMETERS | 1 |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | Stability in Convex Semi-Infinite Optimization | 1 |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 4 |
About M. I. Todorov
M. I. Todorov is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 44 papers that have together received 418 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (40 papers), Advanced Optimization Algorithms Research (33 papers) and Advanced Control Systems Optimization (8 papers). The work is most often cited by research in Numerical Analysis (323 citations), Computational Theory and Mathematics (343 citations) and Statistics, Probability and Uncertainty (54 citations). M. I. Todorov has collaborated with scholars based in Spain, Mexico and Bulgaria. Frequent co-authors include Miguel Á. Goberna, Marco A. López, Juan Enrique Martínez-Legaz, J. Parra, M. J. Cánovas, Alfredo N. Iusem, Susana Gómez, Tamás Terlaky, Thomas Fischer and Vladimir Shikhman. 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.