Nico Kaempchen

1.4k citations
20 papers · 1.0k indexed · h-index 15
Topics
Autonomous Vehicle Technology and Safety (11 papers)Target Tracking and Data Fusion in Sensor Networks (5 papers)Robotics and Sensor-Based Localization (5 papers)
Partner nations
GermanyUnited States

In The Last Decade

Nico Kaempchen

19 papers receiving 964 citations

Peers

Nico Kaempchen
Comparison fields: 5 of 62
  • Automotive Engineering 674
  • Computer Vision and Pattern Recognition 329
  • Control and Systems Engineering 258
  • Artificial Intelligence 225
  • Aerospace Engineering 218
Replace Diange Yang with:
Diange Yang China
Pietro Cerri Italy
Ming-Fang Chang Taiwan
Michael Aeberhard Germany
Tobias Gindele Germany
Christoph G. Keller Germany
Sayanan Sivaraman United States
Sören Kammel Germany
Xinxin Du Singapore
Georg Tanzmeister Germany
Nico Kaempchen relative to Diange Yang China Diange Yang's profile →
Citations per field
00.5×7.4×
Diange Yang · 1×
Citations per year

Countries citing papers authored by Nico Kaempchen

Since Specialization
Citations

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

Fields of papers citing papers by Nico Kaempchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Kaempchen

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Kaempchen. A scholar is included among the top collaborators of Nico Kaempchen 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 Nico Kaempchen. Nico Kaempchen 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
#WorkIndexed citations
1 187
2 15
3 65
4 77
5 15
6 33
7 15
8 105
9 14
10 189
11 3
12
High Accuracy Ego-Localization in Complex Dynamic Environments using Laserscanners
0
13 42
14 3
15 61
16 16
17
Ein Sensorfusionssystem für automotive Sicherheits- und Komfortapplikationen
2
18 96
19 30
20 52

About Nico Kaempchen

Nico Kaempchen is a scholar working on Automotive Engineering, Instrumentation and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Automotive Engineering (674 citations), Computer Vision and Pattern Recognition (329 citations) and Safety, Risk, Reliability and Quality (132 citations). Nico Kaempchen has collaborated with scholars based in Germany and United States. Frequent co-authors include Klaus Dietmayer, Bernt Schiele, Florian Homm, Michael Aeberhard, Darius Burschka, Torsten Bertram, Michael Ardelt, Marc Schaefer, Werner Huber and Julian Thomas. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Transportation Systems Magazine and mediaTUM (Technical University of Munich).

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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