Matej Hočevar
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Computational Mechanics top 5%
- Laser Material Processing Techniques
- Fluid Dynamics and Thin Films
- Fluid Dynamics and Heat Transfer
Papers in
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- Nanoparticles: synthesis and applications 7
- Corrosion Behavior and Inhibition 3
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- Extracellular vesicles in disease 9
- Co-authors
- Peter Gregorčič (10 shared papers)Uroš Trdan (1 shared paper)Matic Može (2 shared papers)Iztok Golobič (2 shared papers)Matevž Zupančič (2 shared papers)Marjetka Conradi (3 shared papers)Aleksandra Kocijan (5 shared papers)Damjana Drobne (20 shared papers)
In The Last Decade
Matej Hočevar
42 papers receiving 986 citations
Peers
Comparison fields: 5 of 92
- Surfaces, Coatings and Films 298
- Computational Mechanics 328
- Mechanics of Materials 299
- Mechanical Engineering 307
- Metals and Alloys 21
Countries citing papers authored by Matej Hočevar
This map shows the geographic impact of Matej Hočevar'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 Matej Hočevar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matej Hočevar more than expected).
Fields of papers citing papers by Matej Hočevar
This network shows the impact of papers produced by Matej Hočevar. 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 Matej Hočevar. The network helps show where Matej Hočevar may publish in the future.
Co-authors
The 25 scholars most cited alongside Matej Hočevar, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 187 | |
| 2 | 2020 | 130 | |
| 3 | 2017 | 106 | |
| 4 | 2019 | 78 | |
| 5 | 2018 | 68 | |
| 6 | 2019 | 46 | |
| 7 | 2018 | 46 | |
| 8 | 2014 | 39 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2013 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2019 | 13 |
About Matej Hočevar
Matej Hočevar is a scholar working on Materials Chemistry, Molecular Biology, Computational Mechanics, Biomedical Engineering and Mechanics of Materials, having authored 46 papers that have together received 1000 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), Nanoparticles: synthesis and applications (7 papers), Surface Modification and Superhydrophobicity (5 papers), Microplastics and Plastic Pollution (5 papers), Laser Material Processing Techniques (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Adhesion, Friction, and Surface Interactions (3 papers) and Corrosion Behavior and Inhibition (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (298 citations), Computational Mechanics (328 citations), Mechanics of Materials (299 citations), Mechanical Engineering (307 citations) and Metals and Alloys (21 citations). Matej Hočevar has collaborated with scholars based in Slovenia, Italy and Spain. Frequent co-authors include Peter Gregorčič, Uroš Trdan, Matic Može, Iztok Golobič, Matevž Zupančič, Marjetka Conradi, Aleksandra Kocijan, Damjana Drobne, Matjaž Godec and Črtomir Donik. Their work appears in journals such as Nanomaterials, International Journal of Molecular Sciences, International Journal of Nanomedicine, Materials and Applied Surface Science.
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.