Vladimir Kuts

1.3k total citations · 1 hit paper
44 papers, 833 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 44 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Industrial and Manufacturing Engineering, 6 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), Flexible and Reconfigurable Manufacturing Systems (13 papers) and Manufacturing Process and Optimization (13 papers). Vladimir Kuts is often cited by papers focused on Digital Transformation in Industry (34 papers), Flexible and Reconfigurable Manufacturing Systems (13 papers) and Manufacturing Process and Optimization (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, Yuansong Qiao, Maulshree Singh, 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 792 citations

Hit Papers

Applications of Digital Twin across Industries: A Review 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Applications of Digital Twin across Industries: A Review
    2022 190 citations Maulshree Singh, Evert Fuenmayor et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Kuts Estonia 14 554 122 90 89 77 44 833
Xuemin Sun China 10 656 1.2× 82 0.7× 57 0.6× 70 0.8× 59 0.8× 12 818
John Oyekan United Kingdom 14 504 0.9× 127 1.0× 40 0.4× 43 0.5× 106 1.4× 61 1.1k
Shimin Liu China 16 822 1.5× 107 0.9× 66 0.7× 102 1.1× 52 0.7× 30 1.1k
Jivka Ovtcharova Germany 15 309 0.6× 138 1.1× 37 0.4× 94 1.1× 42 0.5× 99 829
Yue Yin Hong Kong 9 348 0.6× 117 1.0× 42 0.5× 36 0.4× 58 0.8× 14 717
Tauno Otto Estonia 14 361 0.7× 87 0.7× 74 0.8× 26 0.3× 51 0.7× 63 605
Eoin P. Hinchy Ireland 11 421 0.8× 56 0.5× 61 0.7× 86 1.0× 87 1.1× 20 780
Maulshree Singh Ireland 4 475 0.9× 52 0.4× 41 0.5× 56 0.6× 65 0.8× 5 731
Ali Ahmad Malik Denmark 12 831 1.5× 214 1.8× 74 0.8× 22 0.2× 118 1.5× 30 1.1k
P. Aivaliotis Greece 16 613 1.1× 334 2.7× 58 0.6× 51 0.6× 76 1.0× 28 953

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

20 of 20 papers shown
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Terkaj, Walter, et al.. (2024). A framework for the design and use of virtual labs in digital engineering education. AIP conference proceedings. 3 indexed citations
3.
Guerra-Zubiaga, David A., et al.. (2024). Integration of Digital Twins Into Virtual Commissioning Practices. 1 indexed citations
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Otto, Tauno, et al.. (2022). Industrial Collaborative Robot Digital Twin integration and Control Using Robot Operating System. Journal of Machine Engineering. 11 indexed citations
7.
Tepljakov, Aleksei, et al.. (2022). Digital Twin Simulations Based Reinforcement Learning for Navigation and Control of a Wheel-on-Leg Mobile Robot. Volume 2B: Advanced Manufacturing. 2 indexed citations
8.
Kuts, Vladimir, et al.. (2022). Digital Twin as Industrial Robots Manipulation Validation Tool. Robotics. 11(5). 113–113. 23 indexed citations
9.
Kuts, Vladimir, et al.. (2022). Physical and Virtual Robotic Cells in Industry 4.0 Towards Industry 5.0: An XR-Based Conceptual Framework. Volume 2B: Advanced Manufacturing. 2 indexed citations
10.
Singh, Maulshree, Evert Fuenmayor, Vladimir Kuts, et al.. (2022). Applications of Digital Twin across Industries: A Review. Applied Sciences. 12(11). 5727–5727. 190 indexed citations breakdown →
11.
Rassõlkin, Anton, et al.. (2021). Digital Twin Service Unit for AC Motor Stator Inter-Turn Short Circuit Fault Detection. 1–5. 9 indexed citations
12.
Kuts, Vladimir, et al.. (2021). Digital Twin for FANUC Robots: Industrial Robot Programming and Simulation Using Virtual Reality. Sustainability. 13(18). 10336–10336. 75 indexed citations
13.
Kuts, Vladimir, et al.. (2021). ROS middle-layer integration into Unity3D as an interface option for propulsion drive simulations of autonomous vehicles. Proceedings of the Estonian Academy of Sciences. 70(4). 392–398. 1 indexed citations
14.
Mahmood, Kashif, Tauno Otto, Vladimir Kuts, et al.. (2021). Advancement in production engineering education through Virtual Learning Factory Toolkit concept. Proceedings of the Estonian Academy of Sciences. 70(4). 374–382. 12 indexed citations
15.
Kuts, Vladimir, et al.. (2021). User-centered design for Human-Robot Collaboration systems. IOP Conference Series Materials Science and Engineering. 1140(1). 12011–12011. 14 indexed citations
16.
Kuts, Vladimir, et al.. (2021). ROS middle-layer integration to Unity 3D as an interface option for propulsion drive simulations of autonomous vehicles. IOP Conference Series Materials Science and Engineering. 1140(1). 12008–12008. 5 indexed citations
17.
Otto, Tauno, et al.. (2020). Optimisation of decision-making process in industrial robot selection. Journal of Machine Engineering. 1 indexed citations
18.
Kuts, Vladimir, et al.. (2019). DIGITAL TWIN BASED SYNCHRONISED CONTROL AND SIMULATION OF THE INDUSTRIAL ROBOTIC CELL USING VIRTUAL REALITY. Journal of Machine Engineering. 19(1). 128–144. 95 indexed citations
19.
Kuts, Vladimir, et al.. (2019). Synchronizing physical factory and its digital twin through an IIoT middleware: a case study; pp. 364–370. Proceedings of the Estonian Academy of Sciences. 68(4). 364–370. 32 indexed citations
20.
Kuts, Vladimir, et al.. (2016). Robot manipulator usage for measurement in production areas. Journal of Machine Engineering. 8 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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