Yuri Bykov

755 total citations
10 papers, 445 citations indexed

About

Yuri Bykov is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yuri Bykov has authored 10 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 5 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Yuri Bykov's work include Scheduling and Timetabling Solutions (7 papers), Constraint Satisfaction and Optimization (5 papers) and Vehicle Routing Optimization Methods (3 papers). Yuri Bykov is often cited by papers focused on Scheduling and Timetabling Solutions (7 papers), Constraint Satisfaction and Optimization (5 papers) and Vehicle Routing Optimization Methods (3 papers). Yuri Bykov collaborates with scholars based in United Kingdom and Türkiye. Yuri Bykov's co-authors include Edmund Burke, Sanja Petrović, James P. Newall, Ender Özcan, Jonathan D. Hirst, Sanja Andrić Petrović, Mark T. Oakley, Jonathan M. Garibaldi and Natalio Krasnogor and has published in prestigious journals such as European Journal of Operational Research, Current Protein and Peptide Science and INFORMS journal on computing.

In The Last Decade

Yuri Bykov

9 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuri Bykov United Kingdom	8	257	231	143	121	44	10	445
Eric Soubeiga United Kingdom	7	348 1.4×	347 1.5×	235 1.6×	129 1.1×	42 1.0×	7	578
Nicola Policella Italy	9	90 0.4×	150 0.6×	108 0.8×	194 1.6×	30 0.7×	43	373
Koji Nonobe Japan	8	120 0.5×	363 1.6×	84 0.6×	122 1.0×	13 0.3×	13	479
Andrew B. Philips United States	4	241 0.9×	212 0.9×	326 2.3×	551 4.6×	32 0.7×	10	732
Nashat Mansour Lebanon	16	102 0.4×	100 0.4×	143 1.0×	181 1.5×	218 5.0×	51	676
Ferdinando Fioretto United States	12	85 0.3×	38 0.2×	220 1.5×	169 1.4×	34 0.8×	49	484
Gintaras Palubeckis Lithuania	14	56 0.2×	384 1.7×	179 1.3×	91 0.8×	8 0.2×	38	589
Jérôme Monnot France	15	103 0.4×	195 0.8×	85 0.6×	177 1.5×	9 0.2×	70	608
Yi Zuo China	10	67 0.3×	44 0.2×	140 1.0×	152 1.3×	178 4.0×	28	458
Quentin Louveaux Belgium	11	42 0.2×	161 0.7×	68 0.5×	41 0.3×	10 0.2×	35	362

Countries citing papers authored by Yuri Bykov

Since Specialization

Citations

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

Fields of papers citing papers by Yuri Bykov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Bykov

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

All Works

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10 of 10 papers shown

1.

Bykov, Yuri, et al.. (2019). NUMERICAL MODELING OF THE WORKING PROCESS IN THE FLOW PART OF THE FRANCIS TURBINE AT A HEAD OF 45 M. 0(2). 22–29. 1 indexed citations

2.

Burke, Edmund & Yuri Bykov. (2016). An Adaptive Flex-Deluge Approach to University Exam Timetabling. INFORMS journal on computing. 28(4). 781–794. 17 indexed citations

3.

Bykov, Yuri & Sanja Petrović. (2016). A Step Counting Hill Climbing Algorithm applied to University Examination Timetabling. Journal of Scheduling. 19(4). 479–492. 25 indexed citations

4.

Burke, Edmund & Yuri Bykov. (2016). The late acceptance Hill-Climbing heuristic. European Journal of Operational Research. 258(1). 70–78. 130 indexed citations

5.

Özcan, Ender, et al.. (2009). Examination timetabling using late acceptance hyper-heuristics. 997–1004. 47 indexed citations

6.

Oakley, Mark T., Yuri Bykov, Jonathan M. Garibaldi, et al.. (2008). Search Strategies in Structural Bioinformatics. Current Protein and Peptide Science. 9(3). 260–274. 9 indexed citations

7.

Burke, Edmund & Yuri Bykov. (2006). Solving Exam Timetabling Problems with the Flex-Deluge Algorithm. 27 indexed citations

8.

Burke, Edmund, Yuri Bykov, James P. Newall, & Sanja Petrović. (2004). A time-predefined local search approach to exam timetabling problems. IIE Transactions. 36(6). 509–528. 135 indexed citations

9.

Petrović, Sanja Andrić & Yuri Bykov. (2003). A Multiobjective Optimisation Technique for Exam Timetabling Based on Trajectories. 1 indexed citations

10.

Burke, Edmund, Yuri Bykov, James P. Newall, & Sanja Petrović. (2003). A time-predefined approach to course timetabling. Yugoslav journal of operations research. 13(2). 139–151. 53 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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