Vladimir Kuts

70 total papers · 1.2k total citations
43 papers, 807 citations indexed

About

Vladimir Kuts is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Vladimir Kuts has authored 43 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Industrial and Manufacturing Engineering, 5 papers in Control and Systems Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Vladimir Kuts's work include Digital Transformation in Industry (34 papers), Manufacturing Process and Optimization (13 papers) and Flexible and Reconfigurable Manufacturing Systems (13 papers). Vladimir Kuts is often cited by papers focused on Digital Transformation in Industry (34 papers), Manufacturing Process and Optimization (13 papers) and Flexible and Reconfigurable Manufacturing Systems (13 papers). Vladimir Kuts collaborates with scholars based in Estonia, Ireland and United States. Vladimir Kuts's co-authors include Tauno Otto, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, Niall Murray, Declan M. Devine, Maulshree Singh, Yuansong Qiao, Evert Fuenmayor and Gholamreza Anbarjafari and has published in prestigious journals such as IEEE Access, Computer and Sustainability.

In The Last Decade

Vladimir Kuts

37 papers receiving 768 citations

Hit Papers

Applications of Digital T... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vladimir Kuts 541 118 90 87 77 43 807
Rok Vrabič 466 0.9× 81 0.7× 45 0.5× 37 0.4× 49 0.6× 43 844
Juergen Rossmann 539 1.0× 150 1.3× 40 0.4× 49 0.6× 39 0.5× 63 884
Ji Zhou 551 1.0× 91 0.8× 50 0.6× 54 0.6× 83 1.1× 28 976
Michael Schluse 499 0.9× 140 1.2× 37 0.4× 45 0.5× 38 0.5× 48 825
Mauricio A. Ramírez-Moreno 264 0.5× 76 0.6× 52 0.6× 78 0.9× 64 0.8× 32 798
Qiang Liu 602 1.1× 73 0.6× 32 0.4× 50 0.6× 74 1.0× 27 971
Tamás Ruppert 563 1.0× 60 0.5× 35 0.4× 60 0.7× 102 1.3× 54 855
Shimin Liu 805 1.5× 105 0.9× 66 0.7× 99 1.1× 52 0.7× 30 1.0k
Zhiqian Sang 590 1.1× 136 1.2× 66 0.7× 53 0.6× 49 0.6× 18 927
Xuemin Sun 648 1.2× 79 0.7× 57 0.6× 70 0.8× 59 0.8× 12 807

Countries citing papers authored by Vladimir Kuts

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Kuts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Kuts

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

All Works

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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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