Marc-Michael Meinecke

47 papers receiving 798 citations

Peers

Marc-Michael Meinecke
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 435
  • Aerospace Engineering 403
  • Automotive Engineering 222
  • Electrical and Electronic Engineering 163
  • Biomedical Engineering 132
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Marc-Michael Meinecke

Since Specialization
Citations

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

Fields of papers citing papers by Marc-Michael Meinecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc-Michael Meinecke

This figure shows the co-authorship network connecting the top 25 collaborators of Marc-Michael Meinecke. A scholar is included among the top collaborators of Marc-Michael Meinecke 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 Marc-Michael Meinecke. Marc-Michael Meinecke 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 0
2 2
3 4
4 22
5 5
6
Experiences with a radar-based side assist for heavy vehicles
3
7
Objectives of the ARTRAC initiative in active pedestrian safety
6
8
Increasing vehicular safety at intersections by using LFMSK modulated radar sensors
4
9 14
10 23
11 21
12 28
13
Enhancing Pedestrian Safety by using the SAVE-U Pre-Crash System
4
14
Advanced Night Vision Systems Concepts
3
15
SAVE-U: First Experiences with a Pre-Crash System for Enhancing Pedestrian Safety
10
16
SAVE-U: sensor data fusion for improved vulnerable road user detection
5
17 6
18 81
19 6
20 170

About Marc-Michael Meinecke

Marc-Michael Meinecke is a scholar working on Instrumentation, Automotive Engineering and Aerospace Engineering, having authored 50 papers that have together received 869 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (15 papers), Radar Systems and Signal Processing (14 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Automotive Engineering (222 citations) and Aerospace Engineering (403 citations). Marc-Michael Meinecke has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Hermann Rohling, T. Graf, Alberto Broggi, Massimo Bertozzi, A. Fascioli, Paolo Grisleri, Ayoub Al-Hamadi, Sergiu Nedevschi, Radu Dănescu and Bernd Michaelis. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation 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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