Mikhail Y. Kovalyov

6.7k total citations · 2 hit papers
189 papers, 5.0k citations indexed

About

Mikhail Y. Kovalyov is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Mikhail Y. Kovalyov has authored 189 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Industrial and Manufacturing Engineering, 75 papers in Computer Networks and Communications and 24 papers in Management Information Systems. Recurrent topics in Mikhail Y. Kovalyov's work include Scheduling and Optimization Algorithms (127 papers), Advanced Manufacturing and Logistics Optimization (72 papers) and Optimization and Search Problems (67 papers). Mikhail Y. Kovalyov is often cited by papers focused on Scheduling and Optimization Algorithms (127 papers), Advanced Manufacturing and Logistics Optimization (72 papers) and Optimization and Search Problems (67 papers). Mikhail Y. Kovalyov collaborates with scholars based in Belarus, France and Hong Kong. Mikhail Y. Kovalyov's co-authors include T.C.E. Cheng, Chris N. Potts, C.T. Ng, Ali Allahverdi, Adam Janiak, Wiesław Kubiak, Alexandre Dolgui, Peter Brucker, Frank Werner and Erwin Pesch and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Operations Research.

In The Last Decade

Mikhail Y. Kovalyov

175 papers receiving 4.8k citations

Hit Papers

A survey of scheduling problems with setup times or costs 2000 2026 2008 2017 2006 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Y. Kovalyov Belarus 32 4.4k 1.9k 589 288 273 189 5.0k
P. R. Kumar United States 24 591 0.1× 1.2k 0.6× 955 1.6× 617 2.1× 338 1.2× 77 3.1k
Hans Kellerer Austria 28 1.7k 0.4× 1.5k 0.8× 122 0.2× 126 0.4× 517 1.9× 93 3.2k
Maxim Sviridenko United States 26 763 0.2× 1.3k 0.7× 152 0.3× 69 0.2× 365 1.3× 92 2.6k
Jan Węglarz Poland 31 2.2k 0.5× 1.3k 0.7× 97 0.2× 203 0.7× 1.3k 4.8× 111 3.8k
Douglas G. Down Canada 24 265 0.1× 1.3k 0.7× 934 1.6× 97 0.3× 238 0.9× 119 2.5k
Daniel P. Heyman United States 28 297 0.1× 1.8k 0.9× 2.1k 3.6× 82 0.3× 767 2.8× 85 3.9k
M. Azizoğlu Türkiye 29 1.3k 0.3× 846 0.4× 146 0.2× 125 0.4× 161 0.6× 118 3.4k
Colm Art O’Cinneide United States 15 624 0.1× 146 0.1× 900 1.5× 94 0.3× 336 1.2× 41 1.6k
Ronald W. Wolff United States 20 330 0.1× 1.2k 0.7× 2.0k 3.3× 55 0.2× 898 3.3× 67 3.0k
Paul C. Gilmore United States 12 3.3k 0.8× 741 0.4× 81 0.1× 168 0.6× 179 0.7× 49 4.4k

Countries citing papers authored by Mikhail Y. Kovalyov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Y. Kovalyov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Y. Kovalyov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Y. Kovalyov. A scholar is included among the top collaborators of Mikhail Y. Kovalyov 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 Mikhail Y. Kovalyov. Mikhail Y. Kovalyov 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.
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
2.
Kovalyov, Mikhail Y., et al.. (2024). Planning container inspection and repair: A case study. Computers & Operations Research. 164. 106555–106555. 1 indexed citations
3.
Kovalyov, Mikhail Y., et al.. (2024). A dynamic programming algorithm for order picking in robotic mobile fulfillment systems. Networks. 84(4). 481–490. 2 indexed citations
4.
Kovalyov, Mikhail Y., et al.. (2023). Loan classification using logistic regression. SHILAP Revista de lepidopterología. 20(1). 55–74. 1 indexed citations
5.
Guschinsky, Nikolaï, et al.. (2023). Cost minimizing decisions on equipment and charging schedule for electric buses in a single depot. Transportation Research Part E Logistics and Transportation Review. 180. 103337–103337. 10 indexed citations
6.
Kovalyov, Mikhail Y., et al.. (2022). Machine learning models and methods for solving optimization and forecasting problems of the work of seaports. SHILAP Revista de lepidopterología. 19(4). 94–110.
7.
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
8.
Kovalyov, Mikhail Y., et al.. (2022). Cost minimizing planning of container inspection and repair in multiple facilities. OR Spectrum. 45(1). 181–204. 3 indexed citations
9.
Dolgui, Alexandre, Mikhail Y. Kovalyov, & Bertrand M.T. Lin. (2022). Maximizing total early work in a distributed two‐machine flow‐shop. Naval Research Logistics (NRL). 69(8). 1124–1137. 7 indexed citations
10.
Kovalyov, Mikhail Y., et al.. (2021). Dynamic pricing with demand disaggregation for hotel revenue management. Journal of Heuristics. 27(5). 869–885. 6 indexed citations
11.
Kovalyov, Mikhail Y., et al.. (2020). Fixed interval scheduling with third‐party machines. Networks. 77(3). 361–371.
13.
Janiak, Adam, et al.. (2013). Strong NP-hardness of scheduling problems with learning or aging effect. Annals of Operations Research. 206(1). 577–583. 6 indexed citations
14.
Hwang, Feng-Jang, Mikhail Y. Kovalyov, & Bertrand M.T. Lin. (2011). Total completion time minimization in two-machine flow shop scheduling problems with a fixed job sequence. Discrete Optimization. 9(1). 29–39. 11 indexed citations
15.
Kovalyov, Mikhail Y., et al.. (2010). Internet shopping optimization problem. International Journal of Applied Mathematics and Computer Science. 20(2). 385–390. 25 indexed citations
16.
Dolgui, Alexandre, et al.. (2010). Multi-product lot sizing and scheduling on unrelated parallel machines. IIE Transactions. 42(7). 514–524. 19 indexed citations
17.
Ng, C.T., T.C.E. Cheng, В. М. Котов, & Mikhail Y. Kovalyov. (2009). The EOQ problem with decidable warehouse capacity: Analysis, solution approaches and applications. Discrete Applied Mathematics. 157(8). 1806–1824. 14 indexed citations
18.
Aloulou, Mohamed Ali, Mikhail Y. Kovalyov, & Marie‐Claude Portmann. (2004). Maximization of single machine scheduling.
19.
Cheng, T.C.E. & Mikhail Y. Kovalyov. (1996). Batch scheduling and common due-date assignment on a single machine. Discrete Applied Mathematics. 70(3). 231–245. 24 indexed citations
20.
Cheng, T.C.E., Mikhail Y. Kovalyov, & Alexander V. Tuzikov. (1996). Single Machine Group Scheduling with Two Ordered Criteria. Journal of the Operational Research Society. 47(2). 315–320. 19 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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