Vladimir Grishagin

429 citations
13 papers · 195 indexed · h-index 9
Topics
Advanced Optimization Algorithms Research (11 papers)Numerical Methods and Algorithms (5 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
Partner nations
RussiaItaly

In The Last Decade

Vladimir Grishagin

13 papers receiving 187 citations

Peers

Vladimir Grishagin
Comparison fields: 5 of 35
  • Numerical Analysis 138
  • Computational Theory and Mathematics 121
  • Artificial Intelligence 58
  • Control and Systems Engineering 41
  • Computational Mechanics 20
Replace Victor Gergel with:
Victor Gergel Russia
Ubaldo M. García‐Palomares Venezuela
Michael V. Solodov Brazil
W. P. Baritompa New Zealand
Klaus Tammer Germany
Markus Herrich Germany
Ellen H. Fukuda Japan
Elizabeth W. Karas Brazil
Max L. N. Gonçalves Brazil
Patrick Mehlitz Germany
Vladimir Grishagin relative to Victor Gergel Russia Victor Gergel's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 15
2 4
3 9
4 3
5
Multidimensional Constrained Global Optimization in Domains with Computable Boundaries
5
6 26
7 7
8 19
9 24
10 9
11 32
12 13
13 29

About Vladimir Grishagin

Vladimir Grishagin is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Management of Technology and Innovation, having authored 13 papers that have together received 195 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (11 papers), Numerical Methods and Algorithms (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Numerical Analysis (138 citations), Computational Theory and Mathematics (121 citations) and Artificial Intelligence (58 citations). Vladimir Grishagin has collaborated with scholars based in Russia and Italy. Frequent co-authors include Yaroslav D. Sergeyev, Victor Gergel and Roman G. Strongin. Their work appears in journals such as European Journal of Operational Research, Applied Mathematics and Computation and Journal of Optimization Theory and Applications.

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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