Ivan Kuric
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- Manufacturing Process and Optimization 31
- Engineering Technology and Methodologies 25
- Automotive Engineering top 5%
- Engine and Fuel Emissions 8
- Mechanical Engineering top 5%
- Mechanical and Thermal Properties Analysis 18
- Advanced machining processes and optimization 14
- Advanced Measurement and Metrology Techniques 13
- Mechanical Engineering Research and Applications 6
- General Materials Science top 5%
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics 6
Ivan Kuric
80 papers receiving 778 citations
Peers
Comparison fields: 5 of 89
- Industrial and Manufacturing Engineering 293
- Automotive Engineering 210
- Mechanical Engineering 422
- General Materials Science 21
- Control and Systems Engineering 135
Countries citing papers authored by Ivan Kuric
This map shows the geographic impact of Ivan Kuric'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 Kuric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kuric more than expected).
Fields of papers citing papers by Ivan Kuric
This network shows the impact of papers produced by Ivan Kuric. 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 Kuric. The network helps show where Ivan Kuric may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Kuric, 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 | 8 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 7 | |
| 12 | CRM systems – from theory to practice | 2019 | 1 |
| 13 | 2014 | 1 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 1 | |
| 18 | Wybrane aspekty obróbki skrawaniem polimerowych kompozytów włóknistych i oceny chropowatości powierzchni | 2012 | 1 |
| 19 | Monitoring of CNC machine tool accuracy | 2011 | 3 |
| 20 | NEW METHODS OF PRODUCT CLASSIFICATION FOR COMPUTER AIDED PROCESS PLANNING SYSTEMS | 2007 | 3 |
About Ivan Kuric
Ivan Kuric is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Automotive Engineering, Control and Systems Engineering and General Materials Science, having authored 88 papers that have together received 824 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (31 papers), Engineering Technology and Methodologies (25 papers), Mechanical and Thermal Properties Analysis (18 papers), Advanced machining processes and optimization (14 papers), Advanced Measurement and Metrology Techniques (13 papers), Engine and Fuel Emissions (8 papers), Robotic Mechanisms and Dynamics (6 papers) and Mechanical Engineering Research and Applications (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (293 citations), Automotive Engineering (210 citations), Mechanical Engineering (422 citations), General Materials Science (21 citations) and Control and Systems Engineering (135 citations). Ivan Kuric has collaborated with scholars based in Slovakia, Poland and Ukraine. Frequent co-authors include Milan Sága, Miroslav Císar, Vladimír Bulej, Ľudmila Nováková-Marcinčínová, Ivan Zajačko, Jerzy Jóźwik, Alžbeta Sapietová, Peter Pokorný, Ігор Грицук and Vasyl Mateichyk. Their work appears in journals such as Applied Sciences, Sensors, MANUFACTURING TECHNOLOGY, SAE technical papers on CD-ROM/SAE technical paper series and Materials.
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.