Bojan Ačko

31 papers receiving 337 citations

Peers

Bojan Ačko
Comparison fields: 5 of 69
  • Statistics, Probability and Uncertainty 105
  • Physiology 50
  • Mechanical Engineering 203
  • Industrial and Manufacturing Engineering 45
  • Computer Vision and Pattern Recognition 90
Replace Yuetong Xu with:
Yuetong Xu China
Zhengchun Du China
Jiantao Bai China
Sung-Chong Chung South Korea
Charyar Mehdi-Souzani France
Andrew Chung Chee Law United States
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Michael Beitelschmidt Germany
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Citations per year

Countries citing papers authored by Bojan Ačko

Since Specialization
Citations

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

Fields of papers citing papers by Bojan Ačko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Bojan Ačko, 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 Bojan Ačko Line = papers co-authored together Bojan Ačko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 201146
3 201137
4 202022
5 202020
6 201017
7 201415
8 201312
9 200511
10 200911
11 201311
12 201211
13 20069
14 20129
15 20168
16
Measurement Uncertainty in Calibration of Measurement Surface Plates Flatness
20097
17 20186
18 20176
19 20046
20 20116

About Bojan Ačko

Bojan Ačko is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty, Biomedical Engineering, Computer Networks and Communications and Computational Mechanics, having authored 32 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (21 papers), Scientific Measurement and Uncertainty Evaluation (17 papers), Advanced Sensor Technologies Research (11 papers), Sensor Technology and Measurement Systems (7 papers), Surface Roughness and Optical Measurements (6 papers), Optical measurement and interference techniques (5 papers), Magnetic and Electromagnetic Effects (3 papers) and Freezing and Crystallization Processes (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Physiology (50 citations), Mechanical Engineering (203 citations), Industrial and Manufacturing Engineering (45 citations) and Computer Vision and Pattern Recognition (90 citations). Bojan Ačko has collaborated with scholars based in Slovenia, United Kingdom and Italy. Frequent co-authors include Anton Hamler, Borut Buchmeister, Miodrag Hadžistević, Tomaž Brajlih, Igor Drstvenšek, J. Balič, I. M. Smith, Michael Matus, Borislav Savković and Tomaž Vuherer. Their work appears in journals such as Measurement, International Journal of Simulation Modelling, Advances in Production Engineering & Management, Metrologia and Precision Engineering.

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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