Ivan Zajačko
Impact in
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- Engineering Technology and Methodologies
- Manufacturing Process and Optimization
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics
Papers in
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- Manufacturing Process and Optimization 8
- Engineering Technology and Methodologies 8
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- Mechanical and Thermal Properties Analysis 13
- Advanced Measurement and Metrology Techniques 6
- Surface Treatment and Coatings 3
- Advanced machining processes and optimization 2
Ivan Zajačko
23 papers receiving 233 citations
Peers
Comparison fields: 5 of 54
- Industrial and Manufacturing Engineering 75
- Control and Systems Engineering 84
- Mechanical Engineering 125
- Automotive Engineering 30
- Medical Laboratory Technology 2
Countries citing papers authored by Ivan Zajačko
This map shows the geographic impact of Ivan Zajačko'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 Ivan Zajačko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Zajačko more than expected).
Fields of papers citing papers by Ivan Zajačko
This network shows the impact of papers produced by Ivan Zajačko. 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 Ivan Zajačko. The network helps show where Ivan Zajačko may publish in the future.
Co-authors
The 22 scholars most cited alongside Ivan Zajačko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 1 | |
| 14 | CRM systems – from theory to practice | 2019 | 1 |
| 15 | 2019 | 19 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 13 | |
| 19 | 2018 | 0 | |
| 20 | 2016 | 16 |
About Ivan Zajačko
Ivan Zajačko is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering, Automotive Engineering and Geology, having authored 26 papers that have together received 248 indexed citations. Recurring topics across this work include Mechanical and Thermal Properties Analysis (13 papers), Manufacturing Process and Optimization (8 papers), Engineering Technology and Methodologies (8 papers), Advanced Measurement and Metrology Techniques (6 papers), Robotic Mechanisms and Dynamics (3 papers), Surface Treatment and Coatings (3 papers), Engineering Diagnostics and Reliability (3 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (75 citations), Control and Systems Engineering (84 citations), Mechanical Engineering (125 citations), Automotive Engineering (30 citations) and Medical Laboratory Technology (2 citations). Ivan Zajačko has collaborated with scholars based in Slovakia, Poland and Russia. Frequent co-authors include Miroslav Císar, Ivan Kuric, Pavol Božek, Karol Tucki, Elena Pivarčiová, Y.P. Nikitin, Milan Sága, Vasyl Mateichyk, Tomáš Gál and Emil Spišák. Their work appears in journals such as Applied Sciences, Sensors, International Journal of Advanced Robotic Systems, Acta Montanistica Slovaca and Processes.
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.