Ivan Ginchev

778 citations
40 papers · 486 · h-index 13

Impact in

Papers in

Ivan Ginchev

39 papers receiving 444 citations

Peers

Ivan Ginchev
Comparison fields: 5 of 35
  • Numerical Analysis 329
  • Computational Theory and Mathematics 450
  • Geometry and Topology 76
  • Applied Mathematics 57
  • Statistics and Probability 30
Replace Giandomenico Mastroeni with:
Giandomenico Mastroeni Italy
Marco Castellani Italy
Giancarlo Bigi Italy
Truong Q. Bao United States
Doug Ward United States
Marius Durea Romania
C. Nahak India
Sorin‐Mihai Grad Germany
Marcin Studniarski Poland
Elena Molho Italy
Ivan Ginchev relative to Giandomenico Mastroeni Italy Giandomenico Mastroeni's profile →
Citations per field
00.5×1.5×
Giandomenico Mastroeni · 1×
Citations per year

Countries citing papers authored by Ivan Ginchev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 200445
3 200541
4 200539
5 200733
6 200530
7 200226
8 200822
9
On directionally dependent subdifferentials
201020
10 200519
11 200218
12 200213
13 200312
14 201110
15 20009
16 20108
17 20067
18 20057
19
Second-order conditions in C1,1 constrained vector optimization
20046
20 20096

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 40 papers that have together received 486 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (31 papers), Advanced Optimization Algorithms Research (24 papers), Topology Optimization in Engineering (7 papers), Contact Mechanics and Variational Inequalities (5 papers), Aerospace Engineering and Control Systems (3 papers), Mathematical Dynamics and Fractals (3 papers), Fixed Point Theorems Analysis (3 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Numerical Analysis (329 citations), Computational Theory and Mathematics (450 citations), Geometry and Topology (76 citations), Applied Mathematics (57 citations) and Statistics and Probability (30 citations). Ivan Ginchev has collaborated with scholars based in Italy, Bulgaria and United States. 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 Optimization, Journal of Mathematical Analysis and Applications, Journal of Global Optimization, Journal of Optimization Theory and Applications and Zeitschrift für Analysis und ihre Anwendungen.

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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