Andreas Eidehall

1.0k citations
19 papers · 872 · h-index 15

Impact in

Papers in

Andreas Eidehall

19 papers receiving 796 citations

Peers

Andreas Eidehall
Comparison fields: 5 of 59
  • Automotive Engineering 603
  • Safety, Risk, Reliability and Quality 201
  • Control and Systems Engineering 296
  • Computer Vision and Pattern Recognition 209
  • Building and Construction 84
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Gabi Breuel Germany
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Tobias Gindele Germany
A. Polychronopoulos Greece
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Simon Ulbrich Germany
Christian Pek Germany
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Tim A. Wheeler United States
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Eidehall

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Eidehall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Andreas Eidehall, 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 Andreas Eidehall Line = papers co-authored together Andreas Eidehall links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010196
2 2008159
3 2007101
4
An Automotive Lane Guidance System
200452
5 201349
6 200746
7 200746
8
Tracking and threat assessment for automotive collision avoidance
200732
9
Benefit estimation model for pedestrian auto brake functionality
201029
10 200429
11 200624
12 200622
13 201122
14 200522
15 200621
16 200514
17
Tensor representation of 3D structures
20024
18 20162
19 20132

About Andreas Eidehall

Andreas Eidehall is a scholar working on Automotive Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 19 papers that have together received 872 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (14 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Vehicle Dynamics and Control Systems (6 papers), Military Defense Systems Analysis (2 papers), Control Systems and Identification (2 papers), Robotic Path Planning Algorithms (2 papers), Software Reliability and Analysis Research (2 papers) and Automotive and Human Injury Biomechanics (2 papers). The work is most often cited by research in Automotive Engineering (603 citations), Safety, Risk, Reliability and Quality (201 citations), Control and Systems Engineering (296 citations), Computer Vision and Pattern Recognition (209 citations) and Building and Construction (84 citations). Andreas Eidehall has collaborated with scholars based in Sweden and Australia. Frequent co-authors include Lars Petersson, Fredrik Gustafsson, Erik Coelingh, Jochen Pohl, Thomas B. Schön, Peter Sundström and Magdalena Lindman. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, SAE technical papers on CD-ROM/SAE technical paper series, Control Engineering Practice, ANU Open Research (Australian National University) and Chalmers Publication Library (Chalmers University of Technology).

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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