Virtual Vehicle Research GmbH (Austria)
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Autonomous Vehicle Technology and Safety
- Software top 10%
Papers in
-
- Autonomous Vehicle Technology and Safety 88
- Electric and Hybrid Vehicle Technologies 40
- Software 46
- Top scholars
- Klaus SixHannes AllmaierMarco StegerDaniel WatzenigSalil S. KanhereAli DorriRaja JurdakAndrey W. Golubkov
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (45 papers)Tribology International (16 papers)Wear (15 papers)Lubricants (12 papers)Sensors (11 papers)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Virtual Vehicle Research GmbH (Austria)
688 papers receiving 8.4k citations
Peers
Comparison fields: 5 of 165
- Automotive Engineering 2.6k
- Software 309
- Mechanical Engineering 2.5k
- General Engineering 72
- Instrumentation 186
Countries citing scholars working at Virtual Vehicle Research GmbH (Austria)
This map shows the geographic impact of research produced by authors working at Virtual Vehicle Research GmbH (Austria). 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 papers produced at Virtual Vehicle Research GmbH (Austria) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virtual Vehicle Research GmbH (Austria) more than expected).
Fields of papers published by authors at Virtual Vehicle Research GmbH (Austria)
This network shows the impact of papers affiliated with Virtual Vehicle Research GmbH (Austria) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Virtual Vehicle Research GmbH (Austria) at the time of their publication.
About Virtual Vehicle Research GmbH (Austria)
In recent decades, authors affiliated with Virtual Vehicle Research GmbH (Austria) have published 756 papers, which have received a total of 8.5k indexed citations . Scholars at this organization have produced 229 papers in Automotive Engineering, 46 papers in Software, 57 papers in Safety, Risk, Reliability and Quality, 41 papers in Hardware and Architecture and 133 papers in Control and Systems Engineering on the topics of Autonomous Vehicle Technology and Safety (88 papers), Real-time simulation and control systems (68 papers), Railway Engineering and Dynamics (61 papers), Simulation Techniques and Applications (42 papers), Human-Automation Interaction and Safety (41 papers), Acoustic Wave Phenomena Research (41 papers), Electric and Hybrid Vehicle Technologies (40 papers) and Tribology and Lubrication Engineering (37 papers). Their work is cited by papers focused on Automotive Engineering (2.6k citations), Software (309 citations), Mechanical Engineering (2.5k citations), General Engineering (72 citations) and Instrumentation (186 citations). Authors at Virtual Vehicle Research GmbH (Austria) collaborate with scholars in Austria, Germany and United Kingdom and have published in prestigious journals including SAE technical papers on CD-ROM/SAE technical paper series, Tribology International, Wear, Lubricants and Sensors. Some of Virtual Vehicle Research GmbH (Austria)'s most productive authors include Klaus Six, Hannes Allmaier, Marco Steger, Daniel Watzenig, Salil S. Kanhere, Ali Dorri, Raja Jurdak, Andrey W. Golubkov, Alexander Stocker and Bettina Suhr.
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.