Institution · Virtual Vehicle Research GmbH (Austria)
Most cited papers from Virtual Vehicle Research GmbH (Austria)
What are the most cited papers from Virtual Vehicle Research GmbH (Austria)?
The most cited paper from Virtual Vehicle Research GmbH (Austria) is "Thermal-runaway experiments on consumer Li-ion batteries with metal-oxide and olivin-type cathodes" (Andrey W. Golubkov, David Fuchs, Julian Wagner et al., 2013), with 912 citations. Next come "BlockChain: A Distributed Solution to Automotive Security and Privacy" (815) and "MEMS-based lidar for autonomous driving" (190).
Showing 50 of 59 papers. Every paper with more than 45 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Thermal-runaway experiments on consumer Li-ion batteries with metal-oxide and olivin-type cathodes Andrey W. Golubkov, David Fuchs, Julian Wagner et al. · RSC Advances | 27 Nov 2013 | 912 |
| 2 | BlockChain: A Distributed Solution to Automotive Security and Privacy Ali Dorri, Marco Steger, Salil S. Kanhere et al. · IEEE Communications Magazine | Dec 2017 | 815 |
| 3 | MEMS-based lidar for autonomous driving Han Woong Yoo, Norbert Druml, David Brunner et al. · e+i Elektrotechnik und Informationstechnik | 31 Jul 2018 | 190 |
| 4 | Driver Distraction Detection Methods: A Literature Review and Framework Alexey Mihajlovich Kashevnik, R.A. Shchedrin, Christian Kaiser et al. · IEEE Access | 2021 | 181 |
| 5 | Batteries and battery management systems for electric vehicles Manfred Brandl, Harald C. Gall, M. Wenger et al. | Mar 2012 | 169 |
| 6 | Evaporation of acoustically levitated multi-component liquid droplets Günter Brenn, L.J. Deviprasath, F. Durst et al. · International Journal of Heat and Mass Transfer | 2 Oct 2007 | 169 |
| 7 | Comparing Different Thermal Runaway Triggers for Two Automotive Lithium-Ion Battery Cell Types Christiane Essl, Andrey W. Golubkov, Anton Fuchs · Journal of The Electrochemical Society | Oct 2020 | 136 |
| 8 | Simulation of journal bearing friction in severe mixed lubrication – Validation and effect of surface smoothing due to running-in David E. Sander, Hannes Allmaier, H.H. Priebsch et al. · Tribology International | 29 Dec 2015 | 135 |
| 9 | Model-based engineering in the embedded systems domain: an industrial survey on the state-of-practice Grischa Liebel, Nadja Marko, Matthias Tichy et al. · Software & Systems Modeling | 30 Mar 2016 | 131 |
| 10 | Integral Sliding Mode for the Torque-Vectoring Control of Fully Electric Vehicles: Theoretical Design and Experimental Assessment Tommaso Goggia, Aldo Sorniotti, Leonardo De Novellis et al. · IEEE Transactions on Vehicular Technology | 16 Jul 2014 | 126 |
| 11 | SpeedyChain Regio A. Michelin, Ali Dorri, Marco Steger et al. | 5 Nov 2018 | 113 |
| 12 | Empowering production workers with digitally facilitated knowledge processes – a conceptual framework Lea Hannola, Alexander Richter, Shahper Richter et al. · International Journal of Production Research | 27 Mar 2018 | 113 |
| 13 | Comprehensive Hazard Analysis of Failing Automotive Lithium-Ion Batteries in Overtemperature Experiments Christiane Essl, Andrey W. Golubkov, Eva Gasser et al. · Batteries | 18 May 2020 | 111 |
| 14 | Early Detection of Failing Automotive Batteries Using Gas Sensors Christiane Essl, Lauritz Seifert, Michael Rabe et al. · Batteries | 12 Apr 2021 | 98 |
| 15 | A Comprehensive Overview of Reliability Assessment Strategies and Testing of Power Electronics Converters Farzad Hosseinabadi, Sajib Chakraborty, Sachin Kumar Bhoi et al. · IEEE Open Journal of Power Electronics | 2024 | 96 |
| 16 | Digital Work Design Alexander Richter, Peter Heinrich, Alexander Stocker et al. · Business & Information Systems Engineering | 12 Mar 2018 | 96 |
| 17 | Edge loading and running-in wear in dynamically loaded journal bearings David E. Sander, Hannes Allmaier, H.H. Priebsch et al. · Tribology International | 29 Jul 2015 | 91 |
| 18 | Challenges and progress in the understanding and modelling of the wheel–rail creep forces Edwin A. H. Vollebregt, Klaus Six, Oldřich Polách · Vehicle System Dynamics | 28 Jun 2021 | 86 |
| 19 | Search-Based Optimal Motion Planning for Automated Driving Zlatan Ajanovic, Bakir Lacevic, Barys Shyrokau et al. | Oct 2018 | 86 |
| 20 | Testing of autonomous vehicles using surrogate models and stochastic optimization Halil Beglerovic, Michael C. Stolz, Martin Horn | Oct 2017 | 80 |
| 21 | Impact of high pressure and shear thinning on journal bearing friction David E. Sander, Hannes Allmaier, H.H. Priebsch et al. · Tribology International | Aug 2014 | 79 |
| 22 | Predicting friction reliably and accurately in journal bearings—A systematic validation of simulation results with experimental measurements Hannes Allmaier, Christoph Priestner, Christoph Six et al. · Tribology International | 25 May 2011 | 79 |
| 23 | Third body layer—experimental results and a model describing its influence on the traction coefficient Alexander Meierhofer, Chris Hardwick, Roger Lewis et al. · Wear | 9 Dec 2013 | 76 |
| 24 | Simple particle shapes for DEM simulations of railway ballast: influence of shape descriptors on packing behaviour Bettina Suhr, Klaus Six · Granular Matter | 23 Mar 2020 | 75 |
| 25 | Experiments and numerical simulations on the aerodynamics of the Ahmed body Walter Meile, Günter Brenn, Aaron Reppenhagen et al. · CFD letters | 17 Feb 2011 | 75 |
| 26 | Development of white etching layers on rails: simulations and experiments Christof Bernsteiner, Gábor Müller, Alexander Meierhofer et al. · Wear | 5 Apr 2016 | 74 |
| 27 | Starting and stopping behavior of worn journal bearings David E. Sander, Hannes Allmaier · Tribology International | 28 Jun 2018 | 73 |
| 28 | The Virtual Knowledge Graph System Ontop Guohui Xiao, Davide Lanti, Roman Kontchakov et al. · Lecture notes in computer science | 2020 | 71 |
| 29 | Knowledge management goals revisited Alexander Richter, Alexander Stocker, Sebastian Müller et al. · VINE | 3 May 2013 | 67 |
| 30 | State-of-the-Art Sensor Models for Virtual Testing of Advanced Driver Assistance Systems/Autonomous Driving Functions Birgit Schlager, Stefan Muckenhuber, Simon Schmidt et al. · SAE International Journal of Connected and Automated Vehicles | 29 Oct 2020 | 66 |
| 31 | Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar Thomas Goelles, Birgit Schlager, Stefan Muckenhuber · Sensors | 30 Jun 2020 | 65 |
| 32 | Micro-mechanical investigation of railway ballast behavior under cyclic loading in a box test using DEM: effects of elastic layers and ballast types Nishant Kumar, Bettina Suhr, Stefan Marschnig et al. · Granular Matter | 24 Oct 2019 | 65 |
| 33 | Crash simulation of wood and composite wood for future automotive engineering Ulrich Müller, Thomas Jost, Christian Kurzböck et al. · Wood Material Science and Engineering | 19 Sep 2019 | 65 |
| 34 | Wheel-rail creep force model for predicting water induced low adhesion phenomena Gerald Trummer, L.E. Buckley-Johnstone, Petr Voltr et al. · Tribology International | 10 Jan 2017 | 61 |
| 35 | The strategy and deployment plan for VICS Satoshi YAMADA · IEEE Communications Magazine | 1996 | 61 |
| 36 | Assessing the State-of-Practice of Model-Based Engineering in the Embedded Systems Domain Grischa Liebel, Nadja Marko, Matthias Tichy et al. · Lecture notes in computer science | 2014 | 60 |
| 37 | Parametric analysis of the defrosting process of a reversible heat pump system for electric vehicles Alois Steiner, René Rieberer · Applied Thermal Engineering | 13 Aug 2013 | 58 |
| 38 | Predicting friction reliably and accurately in journal bearings—extending the EHD simulation model to TEHD Hannes Allmaier, Christoph Priestner, Franz Markus Reich et al. · Tribology International | 29 Aug 2012 | 58 |
| 39 | Modeling surface rolling contact fatigue crack initiation taking severe plastic shear deformation into account Gerald Trummer, Christof Marte, Peter Dietmaier et al. · Wear | 17 Feb 2016 | 57 |
| 40 | Secure Wireless Automotive Software Updates Using Blockchains: A Proof of Concept Marco Steger, Ali Dorri, Salil S. Kanhere et al. · Lecture notes in mobility | 30 Aug 2017 | 56 |
| 41 | Full-scale testing of low adhesion effects with small amounts of water in the wheel/rail interface L.E. Buckley-Johnstone, Gerald Trummer, Petr Voltr et al. · Tribology International | 16 Aug 2019 | 55 |
| 42 | Predicting friction reliably and accurately in journal bearings – The importance of extensive oil-models Hannes Allmaier, Christoph Priestner, Franz Markus Reich et al. · Tribology International | 21 Nov 2011 | 55 |
| 43 | Conceptualising value creation in data-driven services: The case of vehicle data Christian Kaiser, Alexander Stocker, Gianluigi Viscusi et al. · International Journal of Information Management | 13 Mar 2021 | 54 |
| 44 | Influence of Aging on the Failing Behavior of Automotive Lithium-Ion Batteries Christiane Essl, Andrey W. Golubkov, Anton Fuchs · Batteries | 7 Apr 2021 | 52 |
| 45 | Physical processes in wheel–rail contact and its implications on vehicle–track interaction Klaus Six, Alexander Meierhofer, Gábor Müller et al. · Vehicle System Dynamics | 17 Dec 2014 | 52 |
| 46 | Parametrisation of a DEM model for railway ballast under different load cases Bettina Suhr, Klaus Six · Granular Matter | Aug 2017 | 51 |
| 47 | Semantic Integration of Bosch Manufacturing Data Using Virtual Knowledge Graphs Elem Güzel Kalaycı, Irlán Grangel González, Felix Lösch et al. · Lecture notes in computer science | 2020 | 49 |
| 48 | Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities Stefan Muckenhuber, Hannes Holzer, Zrinka Bockaj · Sensors | 10 Jun 2020 | 49 |
| 49 | Driving Style Analysis by Classifying Real-World Data with Support Vector Clustering Yuxiang Feng, Simon G. Pickering, Edward Chappell et al. | Sep 2018 | 49 |
| 50 | Analysis of the Journal Bearing Friction Losses in a Heavy-Duty Diesel Engine Christoph Knauder, Hannes Allmaier, David E. Sander et al. · Lubricants | 2 Apr 2015 | 49 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.