Nicolas Scheiner

562 citations
10 papers · 399 · h-index 8

Impact in

Papers in

Journals
IEEE Conference Proceedings (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)Proceedings (2 papers)arXiv (Cornell University) (4 papers)
Partner nations
GermanyUnited States

In The Last Decade

Nicolas Scheiner

10 papers receiving 394 citations

Peers

Nicolas Scheiner
Comparison fields: 5 of 57
  • Instrumentation 90
  • Acoustics and Ultrasonics 11
  • Aerospace Engineering 201
  • Computer Vision and Pattern Recognition 124
  • Automotive Engineering 62
Replace Werner Ritter with:
Werner Ritter Germany
Lianqing Zheng China
Matthew Gadd United Kingdom
Sihan Chen China
Andras Palffy Netherlands
Christophe Blanc France
Michael Barjenbruch Germany
David Juny Yoon Canada
Ricardo Roriz Portugal
Eugin Hyun South Korea
Nicolas Scheiner relative to Werner Ritter Germany Werner Ritter's profile →
Citations per field
00.5×1.5×1.8×
Werner Ritter · 1×
Citations per year

Countries citing papers authored by Nicolas Scheiner

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Scheiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Nicolas Scheiner, 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 Nicolas Scheiner Line = papers co-authored together Nicolas Scheiner links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2020108
2 2021106
3 202144
4 201935
5 201933
6 201833
7 202118
8
Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS
201912
9 20197
10 20213

About Nicolas Scheiner

Nicolas Scheiner is a scholar working on Instrumentation, Automotive Engineering, Aerospace Engineering, Environmental Engineering and Acoustics and Ultrasonics, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (5 papers), Advanced SAR Imaging Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Neural Network Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Microwave Imaging and Scattering Analysis (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Instrumentation (90 citations), Acoustics and Ultrasonics (11 citations), Aerospace Engineering (201 citations), Computer Vision and Pattern Recognition (124 citations) and Automotive Engineering (62 citations). Nicolas Scheiner has collaborated with scholars based in Germany and United States. Frequent co-authors include Juergen Dickmann, Nils Appenrodt, Bernhard Sick, Florian Kraus, Ole Schumann, Christian Wöhler, Markus Hahn, Werner Ritter, Klaus Dietmayer and Fahim Mannan. Their work appears in journals such as IEEE Conference Proceedings, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Proceedings and arXiv (Cornell University).

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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