Mikhail Batsyn

406 citations
19 papers · 212 · h-index 10

Impact in

Papers in

Mikhail Batsyn

18 papers receiving 207 citations

Peers

Mikhail Batsyn
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 81
  • Computational Theory and Mathematics 75
  • Computer Networks and Communications 53
  • Numerical Analysis 10
  • Management Science and Operations Research 20
Replace Simone L. Martins with:
Simone L. Martins Brazil
Pierre Hosteins Italy
Laura Sanità Canada
László A. Végh United Kingdom
Ariel Kulik Israel
Chenchen Wu China
Qinma Kang China
Juan R. González Spain
T. C. Hu United States
Manoel Campêlo Brazil
Mikhail Batsyn relative to Simone L. Martins Brazil Simone L. Martins's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mikhail Batsyn

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Batsyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Mikhail Batsyn, 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 Mikhail Batsyn Line = papers co-authored together Mikhail Batsyn links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201528
2 201427
3 201324
4 201324
5 201412
6 201612
7 201812
8 201411
9 201310
10 20169
11 20199
12 20139
13 20197
14 20157
15 20144
16 20174
17
On applying approximations to find optimal excess of loss reinsurance
20122
18 20141
19
Dynamics of Cluster Structures in Stock Market Networks
20150

About Mikhail Batsyn

Mikhail Batsyn is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 19 papers that have together received 212 indexed citations. Recurring topics across this work include Optimization and Packing Problems (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Machine Learning and Algorithms (5 papers), Optimization and Search Problems (4 papers), Complexity and Algorithms in Graphs (4 papers), Vehicle Routing Optimization Methods (3 papers), Complex Network Analysis Techniques (3 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (81 citations), Computational Theory and Mathematics (75 citations), Computer Networks and Communications (53 citations), Numerical Analysis (10 citations) and Management Science and Operations Research (20 citations). Mikhail Batsyn has collaborated with scholars based in Russia, United States and Spain. Frequent co-authors include Pãnos M. Pardalos, Pablo San Segundo, Pãnos M. Pardalos, Boris Goldengorin, Alexander Ponomarenko, V. F. Demyanov and Valery A. Kalyagin. Their work appears in journals such as International Journal of Production Research, Optimization methods & software, Journal of Combinatorial Optimization, Applied Intelligence and Journal of Global Optimization.

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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