Lars Kunze

1.5k citations
64 papers · 702 · h-index 15

Impact in

Papers in

Lars Kunze

61 papers receiving 660 citations

Peers

Lars Kunze
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 256
  • Control and Systems Engineering 216
  • Artificial Intelligence 283
  • Automotive Engineering 76
  • Aerospace Engineering 143
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Lars Kunze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lars Kunze Line = papers co-authored together Lars Kunze links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201577
3 201063
4 201241
5 201440
6 201133
7 201230
8 201528
9 202124
10 202124
11 201421
12 201117
13
Online inference and detection of curbs in partially occluded scenes with sparse LIDAR
201916
14 202416
15 201815
16 201311
17
Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios
202110
18
Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search.
201410
19 202110
20 20249

About Lars Kunze

Lars Kunze is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering and Social Psychology, having authored 64 papers that have together received 702 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (12 papers), Robotics and Sensor-Based Localization (11 papers), AI-based Problem Solving and Planning (10 papers), Explainable Artificial Intelligence (XAI) (10 papers), Human-Automation Interaction and Safety (9 papers), Ethics and Social Impacts of AI (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (256 citations), Control and Systems Engineering (216 citations), Artificial Intelligence (283 citations), Automotive Engineering (76 citations) and Aerospace Engineering (143 citations). Lars Kunze has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael Beetz, Moritz Tenorth, Tobias Roehm, Nick Hawes, Dominik Jain, Daniel Omeiza, Marina Jirotka, Mihai Dolha, Lorenz Mösenlechner and Luis Riazuelo. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Technology in Society, Proceedings of the IEEE, European Transport Research Review and Transportation Research Part F Traffic Psychology and Behaviour.

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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