Yuri Bykov

9 papers receiving 418 citations

Peers

Yuri Bykov
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 233
  • Management Science and Operations Research 261
  • Computer Networks and Communications 124
  • Artificial Intelligence 145
  • Computational Theory and Mathematics 40
Replace Manuel Valenzuela-Rendón with:
Manuel Valenzuela-Rendón Mexico
Eric Soubeiga United Kingdom
Mustafa Mısır China
Vladimir G. Deı̌neko United Kingdom
Koji Nonobe Japan
Daniel Karapetyan United Kingdom
Jérôme Monnot France
Nashat Mansour Lebanon
L. G. Proll United Kingdom
Gintaras Palubeckis Lithuania
Yuri Bykov relative to Manuel Valenzuela-Rendón Mexico Manuel Valenzuela-Rendón's profile →
Citations per field
00.5×1.5×1.8×
Manuel Valenzuela-Rendón · 1×
Citations per year

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-authors

The 9 scholars most cited alongside Yuri Bykov, 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 Yuri Bykov Line = papers co-authored together Yuri Bykov links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown

About Yuri Bykov

Yuri Bykov is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering and Molecular Biology, having authored 10 papers that have together received 451 indexed citations. Recurring topics across this work include Scheduling and Timetabling Solutions (7 papers), Constraint Satisfaction and Optimization (5 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Vehicle Routing Optimization Methods (3 papers), Hermeneutics and Narrative Identity (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Enzyme Structure and Function (1 paper) and Oil and Gas Production Techniques (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (233 citations), Management Science and Operations Research (261 citations), Computer Networks and Communications (124 citations), Artificial Intelligence (145 citations) and Computational Theory and Mathematics (40 citations). Yuri Bykov has collaborated with scholars based in United Kingdom and Türkiye. Frequent co-authors include Edmund Burke, Sanja Petrović, James P. Newall, Ender Özcan, Mark T. Oakley, Jonathan M. Garibaldi, Sanja Andrić Petrović, Natalio Krasnogor and Jonathan D. Hirst. Their work appears in journals such as INFORMS journal on computing, Current Protein and Peptide Science, Journal of Scheduling, European Journal of Operational Research and Yugoslav journal of operations research.

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.

Explore authors with similar magnitude of impact