Lars Kunze

1.5k total citations
64 papers, 676 citations indexed

About

Lars Kunze is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Lars Kunze has authored 64 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Automotive Engineering. Recurrent topics in Lars Kunze's work include Autonomous Vehicle Technology and Safety (12 papers), Robotics and Sensor-Based Localization (11 papers) and AI-based Problem Solving and Planning (10 papers). Lars Kunze is often cited by papers focused on Autonomous Vehicle Technology and Safety (12 papers), Robotics and Sensor-Based Localization (11 papers) and AI-based Problem Solving and Planning (10 papers). Lars Kunze collaborates with scholars based in United Kingdom, Germany and United States. Lars Kunze's co-authors include Michael Beetz, Moritz Tenorth, Tobias Roehm, Nick Hawes, Dominik Jain, Daniel Omeiza, Marina Jirotka, Mihai Dolha, Lorenz Mösenlechner and Emitzá Guzmán and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Artificial Intelligence.

In The Last Decade

Lars Kunze

59 papers receiving 632 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lars Kunze United Kingdom 15 279 256 216 141 87 64 676
Michele Colledanchise Sweden 11 465 1.7× 221 0.9× 190 0.9× 90 0.6× 121 1.4× 24 784
Joni Pajarinen Finland 13 391 1.4× 240 0.9× 374 1.7× 96 0.7× 77 0.9× 52 875
Nuno Lau Portugal 13 227 0.8× 191 0.7× 138 0.6× 97 0.7× 76 0.9× 111 685
Mike Phillips United States 10 128 0.5× 398 1.6× 171 0.8× 174 1.2× 54 0.6× 39 552
Alexander Ferrein Germany 12 204 0.7× 118 0.5× 121 0.6× 61 0.4× 66 0.8× 57 464
Hangxin Liu China 16 199 0.7× 220 0.9× 283 1.3× 90 0.6× 91 1.0× 59 725
Ahmed Hussein United Kingdom 3 301 1.1× 166 0.6× 219 1.0× 48 0.3× 47 0.5× 4 618
Abderraouf Maoudj Algeria 9 136 0.5× 324 1.3× 295 1.4× 129 0.9× 76 0.9× 25 766
Brian Ichter United States 13 330 1.2× 448 1.8× 282 1.3× 256 1.8× 69 0.8× 25 935
Abdelfetah Hentout Algeria 11 143 0.5× 377 1.5× 341 1.6× 149 1.1× 116 1.3× 36 851

Countries citing papers authored by Lars Kunze

Since Specialization
Citations

This map shows the geographic impact of Lars Kunze'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 Lars Kunze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Kunze more than expected).

Fields of papers citing papers by Lars Kunze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Kunze. 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 Lars Kunze. The network helps show where Lars Kunze may publish in the future.

Co-authorship network of co-authors of Lars Kunze

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Kunze. A scholar is included among the top collaborators of Lars Kunze based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lars Kunze. Lars Kunze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Omeiza, Daniel, et al.. (2025). A transparency paradox? Investigating the impact of explanation specificity and autonomous vehicle imperfect detection capabilities on passengers. Transportation Research Part F Traffic Psychology and Behaviour. 109. 1275–1292. 2 indexed citations
2.
Habibovic, Azra, et al.. (2025). Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap. ACM Transactions on Human-Robot Interaction. 14(3). 1–46. 3 indexed citations
3.
Llorca, David Fernández, Ronan Hamon, H. Junklewitz, et al.. (2025). Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. European Transport Research Review. 17(1). 2 indexed citations
4.
Gadd, Matthew, Daniele De Martini, Paul Murcutt, et al.. (2024). OORD: The Oxford Offroad Radar Dataset. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18779–18790. 9 indexed citations
5.
Hawkins, Richard, et al.. (2024). Aloft: Self-Adaptive Drone Controller Testbed. 70–76. 1 indexed citations
6.
Salvini, Pericle, et al.. (2024). How Well Do Drivers Adapt to Remote Operation? Learning from Remote Drivers with On-Road Experience. Oxford University Research Archive (ORA) (University of Oxford). 23–28. 2 indexed citations
7.
Kunze, Lars, et al.. (2024). Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis. 14421–14427. 1 indexed citations
8.
Kunze, Lars, et al.. (2023). Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour. 1–8. 1 indexed citations
9.
Salvini, Pericle, Keri Grieman, Carolyn Ten Holter, et al.. (2023). Human involvement in autonomous decision-making systems. Lessons learned from three case studies in aviation, social care and road vehicles. Frontiers in Political Science. 5. 4 indexed citations
10.
Kunze, Lars, et al.. (2023). Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey. Journal of Artificial Intelligence Research. 77. 1697–1772. 1 indexed citations
11.
Kunze, Lars, et al.. (2021). Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios. Oxford University Research Archive (ORA) (University of Oxford). 10 indexed citations
12.
Omeiza, Daniel, et al.. (2021). Towards Explainable and Trustworthy Autonomous Physical Systems. Research Publications (Maastricht University). 1–3. 2 indexed citations
13.
Kunze, Lars, et al.. (2019). Online inference and detection of curbs in partially occluded scenes with sparse LIDAR. Oxford University Research Archive (ORA) (University of Oxford). 16 indexed citations
14.
Kunze, Lars, Mohan Sridharan, Christos Dimitrakakis, & Jeremy Wyatt. (2017). View planning with time constraints: an adaptive sampling approach. University of Birmingham Research Portal (University of Birmingham). 1 indexed citations
15.
Kunze, Lars, Tom Williams, Nick Hawes, & Matthias Scheutz. (2017). Spatial Referring Expression Generation for HRI: Algorithms and Evaluation Framework.. National Conference on Artificial Intelligence. 27–35. 5 indexed citations
16.
Kunze, Lars & Michael Beetz. (2015). Envisioning the qualitative effects of robot manipulation actions using simulation-based projections. Artificial Intelligence. 247. 352–380. 28 indexed citations
17.
Kunze, Lars, et al.. (2014). Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search.. University of Birmingham Research Portal (University of Birmingham). 10 indexed citations
18.
Kunze, Lars, et al.. (2014). Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2910–2915. 20 indexed citations
19.
Kunze, Lars, Mihai Dolha, Emitzá Guzmán, & Michael Beetz. (2011). Simulation-based temporal projection of everyday robot object manipulation. Adaptive Agents and Multi-Agents Systems. 107–114. 33 indexed citations
20.
Okada, Kei, et al.. (2011). Semantic Object Search in Large-scale Indoor Environments. 7 indexed citations

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.

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