Victor Gergel

84 total papers · 678 total citations
28 papers, 222 citations indexed

About

Victor Gergel is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Victor Gergel has authored 28 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Numerical Analysis, 10 papers in Computational Theory and Mathematics and 8 papers in Control and Systems Engineering. Recurrent topics in Victor Gergel's work include Advanced Optimization Algorithms Research (14 papers), Aerospace Engineering and Control Systems (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Victor Gergel is often cited by papers focused on Advanced Optimization Algorithms Research (14 papers), Aerospace Engineering and Control Systems (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Victor Gergel collaborates with scholars based in Russia and Italy. Victor Gergel's co-authors include Konstantin Barkalov, Vladimir Grishagin, Yaroslav D. Sergeyev, Roman G. Strongin, Ilya Lebedev, Vladimir Voevodin, Валентина Кустикова, Iosif Meyerov, E. S. Efimenko and Igor Surmin and has published in prestigious journals such as European Journal of Operational Research, Future Generation Computer Systems and Computers & Mathematics with Applications.

In The Last Decade

Victor Gergel

26 papers receiving 205 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Victor Gergel 127 122 68 54 22 28 222
Vladimir Grishagin 121 1.0× 135 1.1× 58 0.9× 41 0.8× 15 0.7× 13 194
Ubaldo M. García‐Palomares 155 1.2× 166 1.4× 48 0.7× 50 0.9× 22 1.0× 30 261
Mihály Csaba Markót 106 0.8× 61 0.5× 34 0.5× 73 1.4× 13 0.6× 22 254
Hans Raj Tiwary 193 1.5× 50 0.4× 56 0.8× 29 0.5× 36 1.6× 22 312
Chen Zhong 63 0.5× 100 0.8× 53 0.8× 53 1.0× 46 2.1× 27 311
Alberto Del Pia 158 1.2× 105 0.9× 44 0.6× 38 0.7× 24 1.1× 37 319
R. Phillips 50 0.4× 84 0.7× 26 0.4× 113 2.1× 36 1.6× 17 294
Rentsen Enkhbat 64 0.5× 61 0.5× 22 0.3× 42 0.8× 58 2.6× 48 239
Walter F. Mascarenhas 140 1.1× 160 1.3× 24 0.4× 20 0.4× 9 0.4× 20 264
Marco Molinaro 74 0.6× 43 0.4× 57 0.8× 28 0.5× 95 4.3× 33 232

Countries citing papers authored by Victor Gergel

Since Specialization
Citations

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

Fields of papers citing papers by Victor Gergel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Gergel

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Gergel. A scholar is included among the top collaborators of Victor Gergel 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 Victor Gergel. Victor Gergel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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