Michael Darms

2.4k citations
17 papers · 471 · h-index 8

Impact in

Papers in

Michael Darms

16 papers receiving 435 citations

Peers

Michael Darms
Comparison fields: 5 of 50
  • Automotive Engineering 258
  • Computer Vision and Pattern Recognition 223
  • Aerospace Engineering 123
  • Instrumentation 16
  • Environmental Engineering 49
Replace Kashyap Chitta with:
Kashyap Chitta Germany
Isaac Miller United States
Rohan Chandra United States
Qian Meng China
W. Niehsen Germany
Yifeng Niu China
Jason Derenick United States
Alessandro Renzaglia France
Xue Yuan China
Olov Andersson Sweden
Michael Darms relative to Kashyap Chitta Germany Kashyap Chitta's profile →
Citations per field
00.5×3.1×
Kashyap Chitta · 1×
Citations per year

Countries citing papers authored by Michael Darms

Since Specialization
Citations

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

Fields of papers citing papers by Michael Darms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Darms, 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 Michael Darms Line = papers co-authored together Michael Darms links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008100
2 200992
3 200989
4 200866
5 200247
6 201032
7 200516
8 20078
9 20104
10 20103
11 20073
12 20182
13
Eine Systemarchitektur zur Fusion von Umfelddaten
20042
14 20072
15 20182
16 20072
17
Fusion von Umfelddaten für Fahrerassistenzsysteme
20031

About Michael Darms

Michael Darms is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (4 papers), Video Surveillance and Tracking Methods (2 papers), Risk and Safety Analysis (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Transportation Safety and Impact Analysis (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Automotive Engineering (258 citations), Computer Vision and Pattern Recognition (223 citations), Aerospace Engineering (123 citations), Instrumentation (16 citations) and Environmental Engineering (49 citations). Michael Darms has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Chris Urmson, Paul E. Rybski, Dave Ferguson, Sascha Kolski, Christopher Baker, C. Urmson, T. Weiland, Rolf Schuhmann, John M. Dolan and William “Red” Whittaker. Their work appears in journals such as AI Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Microwave and Wireless Components Letters, ATZ - Automobiltechnische Zeitschrift and SAE International journal of passenger cars. Electronic and electrical systems.

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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