Ivan Ginchev

770 citations
43 papers · 558 · h-index 13

Impact in

Papers in

Ivan Ginchev

38 papers receiving 520 citations

Peers

Ivan Ginchev
Comparison fields: 5 of 19
  • Computational Theory and Mathematics 524
  • Mathematical Physics 26
  • Numerical Analysis 8
  • Statistics and Probability 11
  • Geometry and Topology 9
Replace Trúóng Xuân Dúc Hā with:
Trúóng Xuân Dúc Hā Vietnam
Enrico Miglierina Italy
Bienvenido Jiménez Spain
Giovanni Paolo Crespi Italy
Rong Hu China
Hang–Chin Lai Taiwan
J.A. Dias da Silva Portugal
Ya-Ping Fang China
Vicente Novo Spain
渉 高橋
Ivan Ginchev relative to Trúóng Xuân Dúc Hā Vietnam Trúóng Xuân Dúc Hā's profile →
Citations per field
00.5×1.5×2.2×
Trúóng Xuân Dúc Hā · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200669
2 200448
3 200546
4 200546
5 200534
6 200730
7 200825
8 200224
9 200224
10
On directionally dependent subdifferentials
201023
11 200520
12 200214
13 200614
14 200713
15 200312
16 201111
17 20009
18 20059
19 20058
20 20068

About Ivan Ginchev

Ivan Ginchev is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics, Statistics and Probability and Applied Mathematics, having authored 43 papers that have together received 558 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (38 papers), Mathematics and Applications (3 papers), Approximation Theory and Sequence Spaces (3 papers), Advanced Banach Space Theory (3 papers), Mathematical and Theoretical Analysis (2 papers), Probability and Statistical Research (1 paper), Computational Geometry and Mesh Generation (1 paper) and Fixed Point Theorems Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (524 citations), Mathematical Physics (26 citations), Numerical Analysis (8 citations), Statistics and Probability (11 citations) and Geometry and Topology (9 citations). Ivan Ginchev has collaborated with scholars based in Italy, Bulgaria and Germany. Frequent co-authors include Matteo Rocca, Giovanni Paolo 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, Zeitschrift für Analysis und ihre Anwendungen 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.

Explore authors with similar magnitude of impact