Vladimir Grishagin

429 total citations
13 papers, 195 citations indexed

About

Vladimir Grishagin is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Vladimir Grishagin has authored 13 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Numerical Analysis, 9 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Vladimir Grishagin's work include Advanced Optimization Algorithms Research (11 papers), Numerical Methods and Algorithms (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Vladimir Grishagin is often cited by papers focused on Advanced Optimization Algorithms Research (11 papers), Numerical Methods and Algorithms (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Vladimir Grishagin collaborates with scholars based in Russia and Italy. Vladimir Grishagin's co-authors include Yaroslav D. Sergeyev, Victor Gergel and Roman G. Strongin and has published in prestigious journals such as European Journal of Operational Research, Applied Mathematics and Computation and Journal of Optimization Theory and Applications.

In The Last Decade

Vladimir Grishagin

13 papers receiving 187 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vladimir Grishagin Russia 9 138 121 58 41 20 13 195
Victor Gergel Russia 9 122 0.9× 126 1.0× 68 1.2× 54 1.3× 18 0.9× 28 222
Ubaldo M. García‐Palomares Venezuela 8 167 1.2× 156 1.3× 48 0.8× 50 1.2× 25 1.3× 30 263
Michael V. Solodov Brazil 5 205 1.5× 265 2.2× 44 0.8× 38 0.9× 58 2.9× 5 364
W. P. Baritompa New Zealand 8 77 0.6× 120 1.0× 147 2.5× 18 0.4× 11 0.6× 14 244
Markus Herrich Germany 7 195 1.4× 189 1.6× 9 0.2× 42 1.0× 35 1.8× 10 286
Stefan Schäffler Germany 7 34 0.2× 80 0.7× 61 1.1× 33 0.8× 12 0.6× 20 175
Alexander S. Strekalovsky Russia 10 158 1.1× 155 1.3× 29 0.5× 52 1.3× 40 2.0× 34 237
Patrick Mehlitz Germany 11 128 0.9× 182 1.5× 8 0.1× 57 1.4× 38 1.9× 38 233
Ellen H. Fukuda Japan 10 288 2.1× 308 2.5× 52 0.9× 47 1.1× 92 4.6× 27 380
Klaus Tammer Germany 7 129 0.9× 155 1.3× 12 0.2× 46 1.1× 11 0.6× 15 211

Countries citing papers authored by Vladimir Grishagin

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Grishagin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Grishagin

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

All Works

13 of 13 papers shown
1.
Grishagin, Vladimir, et al.. (2017). Convergence conditions and numerical comparison of global optimization methods based on dimensionality reduction schemes. Applied Mathematics and Computation. 318. 270–280. 15 indexed citations
2.
Grishagin, Vladimir, et al.. (2016). Comparative efficiency of dimensionality reduction schemes in global optimization. AIP conference proceedings. 1776. 60011–60011. 4 indexed citations
3.
Grishagin, Vladimir, et al.. (2016). Global search acceleration in the nested optimization scheme. AIP conference proceedings. 1738. 400010–400010. 9 indexed citations
4.
Grishagin, Vladimir, et al.. (2016). Global optimization in Hilbert space. AIP conference proceedings. 1738. 400007–400007. 3 indexed citations
5.
Grishagin, Vladimir, et al.. (2015). Multidimensional Constrained Global Optimization in Domains with Computable Boundaries. Electronic scientific archive of UrFU (Ural Federal University). 5 indexed citations
6.
Gergel, Victor, et al.. (2015). Local Tuning in Nested Scheme of Global Optimization. Procedia Computer Science. 51. 865–874. 26 indexed citations
7.
Gergel, Victor, et al.. (2015). Recognition of Surface Defects of Cold-Rolling Sheets Based on Method of Localities. International Review of Automatic Control (IREACO). 8(1). 51–51. 7 indexed citations
8.
Gergel, Victor, et al.. (2015). Adaptive nested optimization scheme for multidimensional global search. Journal of Global Optimization. 66(1). 35–51. 19 indexed citations
9.
Sergeyev, Yaroslav D. & Vladimir Grishagin. (2001). Parallel Asynchronous Global Search and the Nested Optimization Scheme. 3(2). 123–145. 24 indexed citations
10.
Grishagin, Vladimir, et al.. (2001). Firms' R&D decisions under incomplete information. European Journal of Operational Research. 129(2). 414–433. 9 indexed citations
11.
Grishagin, Vladimir, Yaroslav D. Sergeyev, & Roman G. Strongin. (1997). Parallel Characteristical Algorithms for Solving Problems of Global Optimization. Journal of Global Optimization. 10(2). 185–206. 32 indexed citations
12.
Sergeyev, Yaroslav D. & Vladimir Grishagin. (1994). Sequential and parallel algorithms for global optimization. Optimization methods & software. 3(1-3). 111–124. 13 indexed citations
13.
Sergeyev, Yaroslav D. & Vladimir Grishagin. (1994). A parallel method for finding the global minimum of univariate functions. Journal of Optimization Theory and Applications. 80(3). 513–536. 29 indexed citations

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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