Ilya Kovalenko

833 citations
37 papers · 556 · h-index 12

Impact in

Papers in

    • Flexible and Reconfigurable Manufacturing Systems 19
    • Scheduling and Optimization Algorithms 15
    • Manufacturing Process and Optimization 12
    • Digital Transformation in Industry 9
    • Advanced Manufacturing and Logistics Optimization 7
    • Stroke Rehabilitation and Recovery 4

Ilya Kovalenko

35 papers receiving 530 citations

Peers

Ilya Kovalenko
Comparison fields: 5 of 74
  • Industrial and Manufacturing Engineering 391
  • Medical Laboratory Technology 7
  • Safety, Risk, Reliability and Quality 41
  • Management of Technology and Innovation 31
  • Management Information Systems 32
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Citations per year

Countries citing papers authored by Ilya Kovalenko

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Kovalenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ilya Kovalenko, 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 Ilya Kovalenko Line = papers co-authored together Ilya Kovalenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 201963
3 202163
4 201735
5 201927
6 201726
7 201925
8 202218
9 202216
10 201714
11 202312
12 202112
13 202410
14 202310
15 20239
16 20188
17 20218
18 20175
19 20245
20 20165

About Ilya Kovalenko

Ilya Kovalenko is a scholar working on Industrial and Manufacturing Engineering, Rehabilitation, Control and Systems Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 556 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (19 papers), Scheduling and Optimization Algorithms (15 papers), Manufacturing Process and Optimization (12 papers), Digital Transformation in Industry (9 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Stroke Rehabilitation and Recovery (4 papers), Muscle activation and electromyography studies (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (391 citations), Medical Laboratory Technology (7 citations), Safety, Risk, Reliability and Quality (41 citations), Management of Technology and Innovation (31 citations) and Management Information Systems (32 citations). Ilya Kovalenko has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kira Barton, Dawn M. Tilbury, Efe C. Balta, James Moyne, Yassine Qamsane, Miguel Saez, Birgit Vogel‐Heuser, Felix Ocker, Minoru Shinohara and Jun Ueda. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Access, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Control Systems Technology and International Journal of Production 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.

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