Ivan Ginchev
Impact in
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
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- Optimization and Variational Analysis
- Contact Mechanics and Variational Inequalities
Papers in
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- Optimization and Variational Analysis 38
- Contact Mechanics and Variational Inequalities 6
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- Advanced Optimization Algorithms Research 29
- Co-authors
- Matteo Rocca (27 shared papers)Giovanni P. Crespi (9 shared papers)Angelo Guerraggio (12 shared papers)Boris S. Mordukhovich (2 shared papers)Armin Hoffmann (3 shared papers)Juan Enrique Martínez-Legaz (1 shared paper)Davide La Torre (1 shared paper)
In The Last Decade
Ivan Ginchev
45 papers receiving 537 citations
Peers
Comparison fields: 5 of 35
- Numerical Analysis 407
- Computational Theory and Mathematics 545
- Geometry and Topology 90
- Applied Mathematics 64
- Civil and Structural Engineering 103
Countries citing papers authored by Ivan Ginchev
This map shows the geographic impact of Ivan Ginchev'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 Ivan Ginchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Ginchev more than expected).
Fields of papers citing papers by Ivan Ginchev
This network shows the impact of papers produced by Ivan Ginchev. 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 Ivan Ginchev. The network helps show where Ivan Ginchev may publish in the future.
Co-authors
The 7 scholars most cited alongside Ivan Ginchev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 69 | |
| 2 | 2004 | 49 | |
| 3 | 2005 | 47 | |
| 4 | 2005 | 46 | |
| 5 | 2005 | 34 | |
| 6 | 2007 | 33 | |
| 7 | 2002 | 27 | |
| 8 | 2008 | 26 | |
| 9 | 2002 | 24 | |
| 10 | On directionally dependent subdifferentials | 2010 | 21 |
| 11 | 2005 | 21 | |
| 12 | 2006 | 15 | |
| 13 | 2002 | 15 | |
| 14 | 2007 | 14 | |
| 15 | 2003 | 12 | |
| 16 | 2011 | 11 | |
| 17 | 2000 | 9 | |
| 18 | 2006 | 8 | |
| 19 | 2006 | 8 | |
| 20 | 2005 | 8 |
About Ivan Ginchev
Ivan Ginchev is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Civil and Structural Engineering, Applied Mathematics and Mathematical Physics, having authored 47 papers that have together received 584 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (38 papers), Advanced Optimization Algorithms Research (29 papers), Topology Optimization in Engineering (10 papers), Contact Mechanics and Variational Inequalities (6 papers), Fixed Point Theorems Analysis (4 papers), Aerospace Engineering and Control Systems (3 papers), Mathematical Dynamics and Fractals (3 papers) and Advanced Banach Space Theory (3 papers). The work is most often cited by research in Numerical Analysis (407 citations), Computational Theory and Mathematics (545 citations), Geometry and Topology (90 citations), Applied Mathematics (64 citations) and Civil and Structural Engineering (103 citations). Ivan Ginchev has collaborated with scholars based in Italy, Bulgaria and Germany. Frequent co-authors include Matteo Rocca, Giovanni P. Crespi, Angelo Guerraggio, Boris S. Mordukhovich, Armin Hoffmann, Juan Enrique Martínez-Legaz and Davide La Torre. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Optimization, Journal of Global Optimization, Journal of Optimization Theory and Applications and Nonlinear 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.