Igor Vasilyev

6.7k citations
29 papers · 399 · h-index 11

Impact in

Papers in

Igor Vasilyev

27 papers receiving 381 citations

Peers

Igor Vasilyev
Comparison fields: 5 of 61
  • Industrial and Manufacturing Engineering 239
  • Organizational Behavior and Human Resource Management 139
  • Transportation 40
  • Building and Construction 51
  • Computer Graphics and Computer-Aided Design 12
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Citations per year

Countries citing papers authored by Igor Vasilyev

Since Specialization
Citations

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

Fields of papers citing papers by Igor Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Igor Vasilyev, 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 Igor Vasilyev Line = papers co-authored together Igor Vasilyev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201151
3 200837
4 200736
5 201030
6 201727
7 201326
8 200816
9 201212
10 201212
11 201511
12 20139
13 20139
14 20188
15 20117
16 20157
17 20077
18 20215
19 20195
20 20165

About Igor Vasilyev

Igor Vasilyev is a scholar working on Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 29 papers that have together received 399 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (17 papers), Facility Location and Emergency Management (12 papers), Optimization and Packing Problems (9 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Optimization and Search Problems (3 papers), Optimization and Mathematical Programming (2 papers), Scheduling and Optimization Algorithms (2 papers) and Particle Detector Development and Performance (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (239 citations), Organizational Behavior and Human Resource Management (139 citations), Transportation (40 citations), Building and Construction (51 citations) and Computer Graphics and Computer-Aided Design (12 citations). Igor Vasilyev has collaborated with scholars based in Russia, Italy and United States. Frequent co-authors include Maurizio Boccia, Pasquale Avella, Xenia Klimentova, Carlo Mannino, Saverio Salerno, Claudio Sterle, Antonio Sforza, Emilio Carrizosa, Saïd Hanafi and Adriano Masone. Their work appears in journals such as Computers & Operations Research, Operations Research Letters, Networks, Journal of Global Optimization and Computational Optimization 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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