Mikhail Batsyn

406 citations
32 papers · 297 · h-index 11

Impact in

Papers in

Mikhail Batsyn

31 papers receiving 290 citations

Peers

Mikhail Batsyn
Comparison fields: 5 of 47
  • Industrial and Manufacturing Engineering 116
  • Computational Theory and Mathematics 103
  • Computer Networks and Communications 77
  • Building and Construction 28
  • Artificial Intelligence 69
Replace Thelma D. Mavridou with:
Thelma D. Mavridou United States
Winfried Hochstättler Germany
Marc Demange France
Chenchen Wu China
T. C. Hu United States
Pierre Hosteins Italy
Joachim Spoerhase Germany
Kavindra Malik United States
Yoram J. Sussmann United States
P. M. Dearing United States
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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

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201339
2 201532
3 201430
4 201329
5 201414
6 201614
7 201414
8 201812
9 201311
10 201311
11 201610
12 20199
13 20167
14 20147
15 20197
16 20157
17 20156
18 20144
19 20124
20 20134

About Mikhail Batsyn

Mikhail Batsyn is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Building and Construction, having authored 32 papers that have together received 297 indexed citations. Recurring topics across this work include Optimization and Packing Problems (12 papers), Advanced Manufacturing and Logistics Optimization (10 papers), Vehicle Routing Optimization Methods (7 papers), Complexity and Algorithms in Graphs (6 papers), Transportation and Mobility Innovations (5 papers), Optimization and Search Problems (5 papers), Machine Learning and Algorithms (5 papers) and Advanced Graph Theory Research (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (116 citations), Computational Theory and Mathematics (103 citations), Computer Networks and Communications (77 citations), Building and Construction (28 citations) and Artificial Intelligence (69 citations). Mikhail Batsyn has collaborated with scholars based in Russia, United States and Spain. Frequent co-authors include Pãnos M. Pardalos, Pablo San Segundo, Boris Goldengorin, Pãnos M. Pardalos, Alexander Ponomarenko, V. F. Demyanov and Valery A. Kalyagin. Their work appears in journals such as Journal of Combinatorial Optimization, International Journal of Production Research, Optimization methods & software, Computers & Operations Research and Physica A Statistical Mechanics and its 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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