Ivan Prebil
Impact in
- Mechanical Engineering top 5%
- Gear and Bearing Dynamics Analysis
- Tribology and Lubrication Engineering
- Mechanics of Materials top 5%
- Fatigue and fracture mechanics
- Engineering Diagnostics and Reliability
Papers in
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- High Temperature Alloys and Creep 12
- Microstructure and Mechanical Properties of Steels 5
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- Fatigue and fracture mechanics 10
- Co-authors
- Samo Zupan (7 shared papers)Robert Kunc (18 shared papers)Jaka Tušek (3 shared papers)Alojz Poredoš (3 shared papers)Marina Franulović (8 shared papers)Andrej Kitanovski (2 shared papers)Andrej Žerovnik (6 shared papers)Nelida Črnjarić-Žic (1 shared paper)
In The Last Decade
Ivan Prebil
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Mechanical Engineering 689
- Mechanics of Materials 439
- Control and Systems Engineering 410
- Electronic, Optical and Magnetic Materials 207
- Civil and Structural Engineering 231
Countries citing papers authored by Ivan Prebil
This map shows the geographic impact of Ivan Prebil'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 Prebil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Prebil more than expected).
Fields of papers citing papers by Ivan Prebil
This network shows the impact of papers produced by Ivan Prebil. 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 Prebil. The network helps show where Ivan Prebil may publish in the future.
Co-authors
The 21 scholars most cited alongside Ivan Prebil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 152 | |
| 2 | 2011 | 136 | |
| 3 | 2013 | 112 | |
| 4 | 2009 | 104 | |
| 5 | 2001 | 98 | |
| 6 | 2011 | 78 | |
| 7 | 2009 | 57 | |
| 8 | 2017 | 43 | |
| 9 | 2009 | 41 | |
| 10 | 2014 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2010 | 36 | |
| 13 | 2007 | 35 | |
| 14 | 2003 | 33 | |
| 15 | 2014 | 31 | |
| 16 | 2004 | 29 | |
| 17 | 2016 | 22 | |
| 18 | 2002 | 20 | |
| 19 | 2004 | 15 | |
| 20 | 2006 | 14 |
About Ivan Prebil
Ivan Prebil is a scholar working on Mechanical Engineering, Mechanics of Materials, Materials Chemistry, Control and Systems Engineering and Automotive Engineering, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (12 papers), Fatigue and fracture mechanics (10 papers), Automotive and Human Injury Biomechanics (7 papers), Manufacturing Process and Optimization (7 papers), Metal Alloys Wear and Properties (7 papers), Structural Response to Dynamic Loads (6 papers), Vehicle Dynamics and Control Systems (6 papers) and Microstructure and Mechanical Properties of Steels (5 papers). The work is most often cited by research in Mechanical Engineering (689 citations), Mechanics of Materials (439 citations), Control and Systems Engineering (410 citations), Electronic, Optical and Magnetic Materials (207 citations) and Civil and Structural Engineering (231 citations). Ivan Prebil has collaborated with scholars based in Slovenia, Croatia and Austria. Frequent co-authors include Samo Zupan, Robert Kunc, Jaka Tušek, Alojz Poredoš, Marina Franulović, Andrej Kitanovski, Andrej Žerovnik, Nelida Črnjarić-Žic, Igor Grabec and Marija Hribernik. Their work appears in journals such as Computational Materials Science, Advances in Engineering Software, Vehicle System Dynamics, Journal of Biomechanics and Mechanical Systems and Signal Processing.
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.