Valentin Gutev

571 citations
58 papers · 304 · h-index 10

Impact in

Papers in

Valentin Gutev

49 papers receiving 264 citations

Peers

Valentin Gutev
Comparison fields: 5 of 26
  • Geometry and Topology 270
  • Mathematical Physics 195
  • Algebra and Number Theory 58
  • Management Science and Operations Research 84
  • Computational Theory and Mathematics 92
Replace Tsugunori Nogura with:
Tsugunori Nogura Japan
Włodzimierz J. Charatonik Poland
S. Garcı́a-Ferreira Mexico
Paul J. Szeptycki Canada
Phillip Zenor United States
John Ginsburg Canada
M.J. Chasco Spain
Miroslav Hus̆ek Czechia
Michael Megrelishvili Israel
Dmitri Shakhmatov Japan
Valentin Gutev relative to Tsugunori Nogura Japan Tsugunori Nogura's profile →
Citations per field
00.5×1.5×
Tsugunori Nogura · 1×
Citations per year

Countries citing papers authored by Valentin Gutev

Since Specialization
Citations

This map shows the geographic impact of Valentin Gutev'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 Valentin Gutev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Gutev more than expected).

Fields of papers citing papers by Valentin Gutev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Gutev. 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 Valentin Gutev. The network helps show where Valentin Gutev may publish in the future.

Co-authors

The 6 scholars most cited alongside Valentin Gutev, 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 Valentin Gutev Line = papers co-authored together Valentin Gutev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200123
2 200118
3 200316
4 200116
5 199314
6 200013
7 200213
8 200512
9 200710
10 19969
11 20008
12 20008
13 20048
14
EXTENSIONS OF 2-POINT SELECTIONS
20088
15 20007
16 20066
17 20046
18 20076
19 19926
20 19936

About Valentin Gutev

Valentin Gutev is a scholar working on Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics, Management Science and Operations Research and Algebra and Number Theory, having authored 58 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (53 papers), Advanced Banach Space Theory (26 papers), Fuzzy and Soft Set Theory (13 papers), Rings, Modules, and Algebras (12 papers), Fixed Point Theorems Analysis (8 papers), Computability, Logic, AI Algorithms (8 papers), Optimization and Variational Analysis (6 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Geometry and Topology (270 citations), Mathematical Physics (195 citations), Algebra and Number Theory (58 citations), Management Science and Operations Research (84 citations) and Computational Theory and Mathematics (92 citations). Valentin Gutev has collaborated with scholars based in South Africa, Japan and Malta. Frequent co-authors include Tsugunori Nogura, Artur Hideyuki Tomita, S. Garcı́a-Ferreira, Manuel Sanchis, Jiling Cao and Jan Pelant. Their work appears in journals such as Proceedings of the American Mathematical Society, Journal of the Mathematical Society of Japan, Topology and its Applications, Journal of Mathematical Analysis and Applications and Studia Mathematica.

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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