Igor Grabec
- Mechanical Engineering top 1%
- Advanced machining processes and optimization 20
- Mineral Processing and Grinding 7
- Biomedical Engineering top 5%
- Advanced Surface Polishing Techniques 9
- Mechanics of Materials top 5%
- Ultrasonics and Acoustic Wave Propagation 14
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- Neural Networks and Applications 28
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- Structural Health Monitoring Techniques 11
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- Fault Detection and Control Systems 8
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- Nonlinear Dynamics and Pattern Formation 7
- Co-authors
- Edvard GovekarJanez GradišekWolfgang SachsePrimož PotočnikFritz KlockeR. FriedrichKlaus WeinertGábor Stépàn
- Journals
- Ultrasonics (17 papers)International Journal of Machine Tools and Manufacture (6 papers)Physics Letters A (5 papers)
- Partner nations
- SloveniaGermanyUnited States
In The Last Decade
Igor Grabec
117 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 122
- Mechanical Engineering 1.3k
- Industrial and Manufacturing Engineering 308
- Biomedical Engineering 789
- Statistical and Nonlinear Physics 204
- Mechanics of Materials 374
Countries citing papers authored by Igor Grabec
This map shows the geographic impact of Igor Grabec'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 Igor Grabec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Grabec more than expected).
Fields of papers citing papers by Igor Grabec
This network shows the impact of papers produced by Igor Grabec. 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 Igor Grabec. The network helps show where Igor Grabec may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Igor Grabec, 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 | 2021 | 1 | |
| 2 | Formation of Chladni Patterns by Vibration Driven Random Walk of Particles | 2020 | 2 |
| 3 | 2012 | 1 | |
| 4 | 2006 | 2 | |
| 5 | 2003 | 1 | |
| 6 | 2003 | 72 | |
| 7 | 2002 | 3 | |
| 8 | 2002 | 3 | |
| 9 | 2000 | 9 | |
| 10 | 1999 | 21 | |
| 11 | 1998 | 7 | |
| 12 | 1997 | 4 | |
| 13 | 1997 | 1 | |
| 14 | Function approximation by localized basis function neural network. | 1995 | 1 |
| 15 | 1995 | 6 | |
| 16 | 1995 | 15 | |
| 17 | Optimization of kernel-type density estimator by the principle maximal self-consistency. | 1993 | 1 |
| 18 | Dynamics of striations | 1977 | 1 |
| 19 | 1975 | 14 | |
| 20 | 1974 | 20 |
About Igor Grabec
Igor Grabec is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 124 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Advanced machining processes and optimization (20 papers), Ultrasonics and Acoustic Wave Propagation (14 papers), Structural Health Monitoring Techniques (11 papers), Advanced Surface Polishing Techniques (9 papers), Fault Detection and Control Systems (8 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Mineral Processing and Grinding (7 papers). The work is most often cited by research in Mechanical Engineering (1.3k citations), Industrial and Manufacturing Engineering (308 citations) and Biomedical Engineering (789 citations). Igor Grabec has collaborated with scholars based in Slovenia, Germany and United States. Frequent co-authors include Edvard Govekar, Janez Gradišek, Wolfgang Sachse, Primož Potočnik, Fritz Klocke, R. Friedrich, Klaus Weinert, Gábor Stépàn, Martin Kalveram and Tamás Insperger. Their work appears in journals such as Ultrasonics, International Journal of Machine Tools and Manufacture, Physics Letters A, CIRP Annals and Journal of Sound and Vibration.
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.