Vito Logar
Impact in
- Mechanical Engineering top 10%
- Metallurgical Processes and Thermodynamics
- Iron and Steelmaking Processes
- Welding Techniques and Residual Stresses
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- Fault Detection and Control Systems
- Advanced Control Systems Optimization
Papers in
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- Metallurgical Processes and Thermodynamics 16
- Welding Techniques and Residual Stresses 6
- Iron and Steelmaking Processes 5
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- Fault Detection and Control Systems 7
- Advanced Control Systems Optimization 4
- Co-authors
- Igor Škrjanc (26 shared papers)Dejan Dovžan (7 shared papers)Amirhossein Fathi (4 shared papers)Yadollah Saboohi (5 shared papers)Živa Kristl (2 shared papers)Goran Andonovski (2 shared papers)R. Karba (2 shared papers)Andrej Kos (1 shared paper)
In The Last Decade
Vito Logar
42 papers receiving 671 citations
Peers
Comparison fields: 5 of 88
- Mechanical Engineering 337
- Control and Systems Engineering 175
- Artificial Intelligence 158
- Discrete Mathematics and Combinatorics 12
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Vito Logar
This map shows the geographic impact of Vito Logar'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 Vito Logar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Logar more than expected).
Fields of papers citing papers by Vito Logar
This network shows the impact of papers produced by Vito Logar. 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 Vito Logar. The network helps show where Vito Logar may publish in the future.
Co-authors
The 24 scholars most cited alongside Vito Logar, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2012 | 67 | |
| 3 | 2012 | 48 | |
| 4 | 2011 | 41 | |
| 5 | 2018 | 38 | |
| 6 | 2012 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2010 | 25 | |
| 9 | 2012 | 24 | |
| 10 | 2012 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2015 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2013 | 22 | |
| 16 | 2015 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2012 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2015 | 8 |
About Vito Logar
Vito Logar is a scholar working on Mechanical Engineering, Control and Systems Engineering, Artificial Intelligence, Media Technology and Cognitive Neuroscience, having authored 43 papers that have together received 692 indexed citations. Recurring topics across this work include Metallurgical Processes and Thermodynamics (16 papers), Fault Detection and Control Systems (7 papers), Fuzzy Logic and Control Systems (6 papers), Welding Techniques and Residual Stresses (6 papers), Experimental Learning in Engineering (6 papers), EEG and Brain-Computer Interfaces (5 papers), Iron and Steelmaking Processes (5 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Mechanical Engineering (337 citations), Control and Systems Engineering (175 citations), Artificial Intelligence (158 citations), Discrete Mathematics and Combinatorics (12 citations) and Industrial and Manufacturing Engineering (31 citations). Vito Logar has collaborated with scholars based in Slovenia, Iran and Germany. Frequent co-authors include Igor Škrjanc, Dejan Dovžan, Amirhossein Fathi, Yadollah Saboohi, Živa Kristl, Goran Andonovski, R. Karba, Andrej Kos, Iztok Grabnar and Aleš Mrhar. Their work appears in journals such as ISIJ International, steel research international, Artificial Intelligence in Medicine, Applied Soft Computing and Metals.
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.