Igor Vasilyev

6.6k total citations
29 papers, 391 citations indexed

About

Igor Vasilyev is a scholar working on Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management and Computer Networks and Communications. According to data from OpenAlex, Igor Vasilyev has authored 29 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 12 papers in Organizational Behavior and Human Resource Management and 4 papers in Computer Networks and Communications. Recurrent topics in Igor Vasilyev's work include Vehicle Routing Optimization Methods (17 papers), Facility Location and Emergency Management (12 papers) and Optimization and Packing Problems (9 papers). Igor Vasilyev is often cited by papers focused on Vehicle Routing Optimization Methods (17 papers), Facility Location and Emergency Management (12 papers) and Optimization and Packing Problems (9 papers). Igor Vasilyev collaborates with scholars based in Russia, Italy and Spain. Igor Vasilyev's co-authors include Maurizio Boccia, Pasquale Avella, Xenia Klimentova, Carlo Mannino, Saverio Salerno, Claudio Sterle, Antonio Sforza, Emilio Carrizosa, Saïd Hanafi and Umberto Villano and has published in prestigious journals such as IEEE Access, Information Sciences and Computers & Operations Research.

In The Last Decade

Igor Vasilyev

27 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Vasilyev Russia 11 238 139 52 51 50 29 391
Saïd Hanafi France 15 449 1.9× 95 0.7× 117 2.3× 83 1.6× 74 1.5× 21 579
Isaac Plana Spain 15 520 2.2× 112 0.8× 50 1.0× 135 2.6× 52 1.0× 36 638
Pierre Chardaire United Kingdom 10 153 0.6× 90 0.6× 51 1.0× 48 0.9× 74 1.5× 15 328
J. A. Moreno Spain 6 247 1.0× 38 0.3× 91 1.8× 50 1.0× 50 1.0× 13 392
Daniele Ferone Italy 13 457 1.9× 49 0.4× 42 0.8× 126 2.5× 55 1.1× 33 589
Jesús Sánchez‐Oro Spain 15 371 1.6× 111 0.8× 168 3.2× 84 1.6× 130 2.6× 53 651
Zorica Stanimirović Serbia 13 390 1.6× 283 2.0× 61 1.2× 140 2.7× 54 1.1× 47 567
Sourour Elloumi France 13 288 1.2× 184 1.3× 66 1.3× 44 0.9× 124 2.5× 34 653
Olivier Briant France 9 189 0.8× 31 0.2× 38 0.7× 35 0.7× 23 0.5× 12 359
Claudio Sterle Italy 14 394 1.7× 93 0.7× 23 0.4× 138 2.7× 73 1.5× 54 599

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-authorship network of co-authors of Igor Vasilyev

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

All Works

20 of 20 papers shown
1.
Vasilyev, Igor, et al.. (2021). Discrete Facility Location in Machine Learning. Journal of Applied and Industrial Mathematics. 15(4). 686–710. 3 indexed citations
2.
Vasilyev, Igor, et al.. (2020). Near-optimal large-scale k-medoids clustering. Information Sciences. 545. 344–362. 54 indexed citations
3.
Masone, Adriano, et al.. (2018). A three‐stage p‐median based exact method for the optimal diversity management problem. Networks. 74(2). 174–189. 8 indexed citations
4.
Vasilyev, Igor, et al.. (2018). An effective heuristic for large-scale fault-tolerant k-median problem. Soft Computing. 23(9). 2959–2967. 5 indexed citations
5.
Klimentova, Xenia, et al.. (2016). Bi-level and Bi-objective p-Median Type Problems for Integrative Clustering: Application to Analysis of Cancer Gene-Expression and Drug-Response Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(1). 46–59. 5 indexed citations
6.
Vasilyev, Igor, Pasquale Avella, & Maurizio Boccia. (2016). A branch and cut heuristic for a runway scheduling problem. Automation and Remote Control. 77(11). 1985–1993.
7.
Vasilyev, Igor, et al.. (2015). A Computational Comparison of the p-Median Clustering and k-Means. 13(1). 229–242. 4 indexed citations
8.
Vasilyev, Igor, Maurizio Boccia, & Saïd Hanafi. (2015). An implementation of exact knapsack separation. Journal of Global Optimization. 66(1). 127–150. 6 indexed citations
9.
Bezzubov, V. A., D. Denisov, V. N. Evdokimov, et al.. (2014). The performance and long term stability of the D0 Run II forward muon scintillation counters. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 753. 105–115.
10.
Vasilyev, Igor, et al.. (2014). Two-dimensional non-destructive diagnostics for accelerators by Beam Cross section Monitor. Journal of Instrumentation. 9(1). P01011–P01011. 2 indexed citations
11.
Boccia, Maurizio, Carlo Mannino, & Igor Vasilyev. (2013). The dispatching problem on multitrack territories: Heuristic approaches based on mixed integer linear programming. Networks. 62(4). 315–326. 26 indexed citations
12.
Vasilyev, Igor, Xenia Klimentova, & Maurizio Boccia. (2012). Polyhedral study of simple plant location problem with order. Operations Research Letters. 41(2). 153–158. 12 indexed citations
13.
Hanafi, Saïd, et al.. (2011). A parallel subgradient algorithm for Lagrangean dual function of the p-median problem.. 9. 105–124. 3 indexed citations
14.
Avella, Pasquale, Maurizio Boccia, & Igor Vasilyev. (2011). Computational Testing of a Separation Procedure for the Knapsack Set with a Single Continuous Variable. INFORMS journal on computing. 24(1). 165–171. 7 indexed citations
15.
Avella, Pasquale, Maurizio Boccia, Saverio Salerno, & Igor Vasilyev. (2011). An aggregation heuristic for large scale p-median problem. Computers & Operations Research. 39(7). 1625–1632. 51 indexed citations
16.
Vasilyev, Igor & Xenia Klimentova. (2010). The branch and cut method for the facility location problem with client’s preferences. Journal of Applied and Industrial Mathematics. 4(3). 441–454. 30 indexed citations
17.
Avella, Pasquale, Maurizio Boccia, & Igor Vasilyev. (2008). A computational study of exact knapsack separation for the generalized assignment problem. Computational Optimization and Applications. 45(3). 543–555. 37 indexed citations
18.
Avella, Pasquale, Maurizio Boccia, & Igor Vasilyev. (2008). Computational experience with general cutting planes for the Set Covering problem. Operations Research Letters. 37(1). 16–20. 16 indexed citations
19.
Sidorov, Denis, et al.. (2008). Automatic defects classification with p-median clustering technique. 37. 775–780. 3 indexed citations
20.
Mancini, Emilio P., et al.. (2007). A grid-aware MIP solver: Implementation and case studies. Future Generation Computer Systems. 24(2). 133–141. 7 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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