Vladimir Kuts

1.3k citations
44 papers · 833 · 1 hit paper · h-index 14

Impact in

Papers in

Vladimir Kuts

37 papers receiving 792 citations

Vladimir Kuts's Hit Papers

Applications of Digital Twin across Industries: A Review 2022 · 190 citations
1900+1+2Years since publication50100150

Peers

Vladimir Kuts
Comparison fields: 5 of 87
  • Industrial and Manufacturing Engineering 554
  • Medical Laboratory Technology 14
  • Human-Computer Interaction 50
  • Automotive Engineering 90
  • Safety, Risk, Reliability and Quality 59
Replace Ali Ahmad Malik with:
Ali Ahmad Malik Denmark
Xuemin Sun China
Danúbia B. Espíndola Brazil
John Oyekan United Kingdom
Tauno Otto Estonia
Eoin P. Hinchy Ireland
Maulshree Singh Ireland
Jivka Ovtcharova Germany
Shimin Liu China
Jumyung Um South Korea
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications of Digital Twin across Industries: A Review
Hit paper breakdown →
2022190
2 201995
3 202175
4 201968
5 202162
6 202135
7 202033
8 201932
9 202226
10 202025
11 202223
12 201821
13 202114
14 201913
15 202013
16 202112
17 202211
18 202010
19 20219
20
Robot manipulator usage for measurement in production areas
20168

About Vladimir Kuts

Vladimir Kuts is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering and Management of Technology and Innovation, having authored 44 papers that have together received 833 indexed citations. Recurring topics across this work include Digital Transformation in Industry (34 papers), Flexible and Reconfigurable Manufacturing Systems (13 papers), Manufacturing Process and Optimization (13 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Collaboration in agile enterprises (3 papers), Ergonomics and Human Factors (3 papers), Real-time simulation and control systems (3 papers) and Engineering Technology and Methodologies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (554 citations), Medical Laboratory Technology (14 citations), Human-Computer Interaction (50 citations), Automotive Engineering (90 citations) and Safety, Risk, Reliability and Quality (59 citations). Vladimir Kuts has collaborated with scholars based in Estonia, Ireland and United States. Frequent co-authors include Tauno Otto, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, Yuansong Qiao, Niall Murray, Declan M. Devine, Evert Fuenmayor, Maulshree Singh and Gholamreza Anbarjafari. Their work appears in journals such as Applied Sciences, Robotics, Computer, International Journal of Computer Integrated Manufacturing and IEEE Access.

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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