Sergey Kovalev

778 total citations
40 papers, 580 citations indexed

About

Sergey Kovalev is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Sergey Kovalev has authored 40 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Industrial and Manufacturing Engineering, 6 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Sergey Kovalev's work include Assembly Line Balancing Optimization (26 papers), Scheduling and Optimization Algorithms (25 papers) and Advanced Manufacturing and Logistics Optimization (17 papers). Sergey Kovalev is often cited by papers focused on Assembly Line Balancing Optimization (26 papers), Scheduling and Optimization Algorithms (25 papers) and Advanced Manufacturing and Logistics Optimization (17 papers). Sergey Kovalev collaborates with scholars based in France, Belarus and Germany. Sergey Kovalev's co-authors include Alexandre Dolgui, Simon Thevenin, Mikhail Y. Kovalyov, Xavier Delorme, Ameur Soukhal, Olga Battaïa, Jacek Błażewicz, Małgorzata Sterna, Erwin Pesch and Frank Werner and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Journal of the Operational Research Society.

In The Last Decade

Sergey Kovalev

36 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Kovalev France 14 506 49 41 41 38 40 580
Carlos Andrés Romano Spain 8 452 0.9× 32 0.7× 28 0.7× 50 1.2× 17 0.4× 27 526
Robert Ojsteršek Slovenia 11 208 0.4× 18 0.4× 23 0.6× 21 0.5× 17 0.4× 26 301
Nasser Mebarki France 7 265 0.5× 27 0.6× 47 1.1× 41 1.0× 28 0.7× 27 320
Joseph Bukchin Israel 12 743 1.5× 11 0.2× 24 0.6× 90 2.2× 31 0.8× 16 815
John Ladbrook United Kingdom 12 146 0.3× 33 0.7× 21 0.5× 138 3.4× 90 2.4× 26 326
Thérèse Bonte France 8 267 0.5× 24 0.5× 42 1.0× 8 0.2× 23 0.6× 13 338
Tho Le-Duc Netherlands 8 512 1.0× 65 1.3× 17 0.4× 22 0.5× 15 0.4× 10 575
Chwen‐Tzeng Su Taiwan 12 335 0.7× 44 0.9× 57 1.4× 25 0.6× 59 1.6× 28 439
Shibao Pang China 8 242 0.5× 38 0.8× 63 1.5× 8 0.2× 9 0.2× 13 357
Mukund Subramaniyan Sweden 12 279 0.6× 17 0.3× 22 0.5× 36 0.9× 128 3.4× 16 422

Countries citing papers authored by Sergey Kovalev

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Kovalev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Kovalev

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Kovalev. A scholar is included among the top collaborators of Sergey Kovalev 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 Sergey Kovalev. Sergey Kovalev 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.
Thevenin, Simon, et al.. (2025). Robust multi-manned mixed-model assembly line balancing with dynamic task assignment considering product mix uncertainty. International Journal of Production Economics. 109756–109756.
2.
Dolgui, Alexandre, Sergey Kovalev, & Mikhail Y. Kovalyov. (2024). Scheduling electric vehicle regular charging tasks: A review of deterministic models. European Journal of Operational Research. 325(2). 221–232. 3 indexed citations
3.
Kovalev, Sergey, et al.. (2022). Single machine scheduling with assignable due dates to minimize maximum and total late work. European Journal of Operational Research. 308(1). 76–83. 8 indexed citations
4.
Thevenin, Simon, et al.. (2022). Model-dependent task assignment in multi-manned mixed-model assembly lines with walking workers. Omega. 113. 102688–102688. 17 indexed citations
5.
Thevenin, Simon, et al.. (2022). Markov decision process for multi-manned mixed-model assembly lines with walking workers. International Journal of Production Economics. 255. 108661–108661. 12 indexed citations
6.
Kovalev, Sergey, et al.. (2022). Maximizing single attribute diversity in group selection. Annals of Operations Research. 320(1). 535–540. 1 indexed citations
7.
Chen, Xin, et al.. (2020). Semi-online scheduling on two identical machines with a common due date to maximize total early work. Discrete Applied Mathematics. 290. 71–78. 12 indexed citations
8.
Gurevsky, Evgeny, Sergey Kovalev, & Mikhail Y. Kovalyov. (2020). Min-max controllable risk problems. 4OR. 19(1). 93–101. 1 indexed citations
9.
Thevenin, Simon, et al.. (2020). Operations management issues in design and control of hybrid human-robot collaborative manufacturing systems: a survey. Annual Reviews in Control. 49. 264–276. 88 indexed citations
10.
Dolgui, Alexandre, et al.. (2015). Minimizing the number of workers for one cycle of a paced production line. IFAC-PapersOnLine. 48(3). 2281–2286. 3 indexed citations
11.
Dolgui, Alexandre, Sergey Kovalev, & Erwin Pesch. (2015). Approximate solution of a profit maximization constrained virtual business planning problem. Omega. 57. 212–216. 3 indexed citations
12.
Battaïa, Olga, et al.. (2014). Workforce Minimization for a Mixed-Model Assembly Line. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
13.
Jaehn, Florian, Sergey Kovalev, Mikhail Y. Kovalyov, & Erwin Pesch. (2014). Multiproduct batching and scheduling with buffered rework: The case of a car paint shop. Naval Research Logistics (NRL). 61(6). 458–471. 2 indexed citations
14.
Kovalev, Sergey, Xavier Delorme, & Alexandre Dolgui. (2012). Line configuration to minimize setup costs. Mathematical and Computer Modelling. 55(9-10). 2087–2095. 9 indexed citations
15.
Dolgui, Alexandre & Sergey Kovalev. (2012). Scenario based robust line balancing: Computational complexity. Discrete Applied Mathematics. 160(13-14). 1955–1963. 44 indexed citations
16.
Dolgui, Alexandre & Sergey Kovalev. (2012). Min–max and min–max (relative) regret approaches to representatives selection problem. 4OR. 10(2). 181–192. 18 indexed citations
17.
Dolgui, Alexandre, et al.. (2011). Modelling transfer line design problem via a set partitioning problem. Optimization Letters. 6(5). 915–926. 11 indexed citations
18.
Dolgui, Alexandre, et al.. (2011). A new model for equipment selection and transfer line design problem. IFAC Proceedings Volumes. 44(1). 3962–3967. 3 indexed citations
19.
Dolgui, Alexandre & Sergey Kovalev. (2010). Scenario Based Robust Line Balancing. HAL (Le Centre pour la Communication Scientifique Directe). 12 indexed citations
20.
Dolgui, Alexandre & Sergey Kovalev. (2010). Min-Max and Min-Max regret approaches to minimum cost tools selection. HAL (Le Centre pour la Communication Scientifique Directe). 3 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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