Michaël Meyer

757 total citations
16 papers, 255 citations indexed

About

Michaël Meyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Michaël Meyer has authored 16 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Michaël Meyer's work include Advanced SAR Imaging Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Vision and Imaging (4 papers). Michaël Meyer is often cited by papers focused on Advanced SAR Imaging Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Vision and Imaging (4 papers). Michaël Meyer collaborates with scholars based in Germany and United States. Michaël Meyer's co-authors include Georg Kuschk, Sven Tomforde, Michael Hötter, Hermann Hild, Rudolf Mester and Robert Bosch and has published in prestigious journals such as IEEE Aerospace and Electronic Systems Magazine, American Literature and European Radar Conference.

In The Last Decade

Michaël Meyer

14 papers receiving 237 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michaël Meyer Germany 8 133 129 52 40 35 16 255
Jorge Beltrán Spain 7 129 1.0× 121 0.9× 31 0.6× 33 0.8× 30 0.9× 14 238
Julien Rebut France 6 107 0.8× 118 0.9× 22 0.4× 53 1.3× 27 0.8× 9 226
Sihan Chen China 7 146 1.1× 162 1.3× 29 0.6× 47 1.2× 31 0.9× 16 298
Trung-Dung Vu France 5 122 0.9× 125 1.0× 74 1.4× 101 2.5× 21 0.6× 5 238
Paul Murcutt United Kingdom 4 140 1.1× 198 1.5× 37 0.7× 59 1.5× 46 1.3× 5 314
Lianqing Zheng China 9 152 1.1× 199 1.5× 32 0.6× 37 0.9× 34 1.0× 15 332
David J. Yoon Canada 10 102 0.8× 208 1.6× 63 1.2× 34 0.8× 41 1.2× 13 304
Manuel Yguel France 8 196 1.5× 169 1.3× 69 1.3× 46 1.1× 14 0.4× 13 286
Nicolas Scheiner Germany 6 92 0.7× 155 1.2× 42 0.8× 45 1.1× 65 1.9× 6 291
Daiyi Peng United States 3 238 1.8× 129 1.0× 56 1.1× 42 1.1× 23 0.7× 5 322

Countries citing papers authored by Michaël Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Meyer. A scholar is included among the top collaborators of Michaël Meyer 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 Michaël Meyer. Michaël Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Meyer, Michaël, et al.. (2022). Automotive Object Detection on Highly Compressed Range-Beam-Doppler Radar Data. 141–144. 1 indexed citations
2.
Meyer, Michaël, Georg Kuschk, & Sven Tomforde. (2021). Graph Convolutional Networks for 3D Object Detection on Radar Data. 3053–3062. 44 indexed citations
3.
Meyer, Michaël, Georg Kuschk, & Sven Tomforde. (2020). Complex-Valued Convolutional Neural Networks for Automotive Scene Classification Based on Range-Beam-Doppler Tensors. 1–6. 9 indexed citations
4.
Meyer, Michaël & Georg Kuschk. (2019). Automotive Radar Dataset for Deep Learning Based 3D Object Detection. European Radar Conference. 80 indexed citations
5.
Meyer, Michaël & Georg Kuschk. (2019). Deep Learning Based 3D Object Detection for Automotive Radar and Camera. European Radar Conference. 53 indexed citations
6.
Meyer, Michaël, et al.. (2007). A GIS application for remote environmental surveillance in areas of petroleum exploration. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 1 indexed citations
7.
Meyer, Michaël, et al.. (2002). Fusion of IFF and radar data. 1. 5.3–9. 9 indexed citations
8.
Hötter, Michael, Rudolf Mester, & Michaël Meyer. (2002). Detection of moving objects in natural scenes by a stochastic multi-feature analysis of video sequences. 47–52. 3 indexed citations
9.
Meyer, Michaël, et al.. (2002). New options in video surveillance applications using multiple views of a scene. 216–219. 4 indexed citations
11.
Meyer, Michaël, et al.. (1999). Video surveillance applications using multiple views of a scene. IEEE Aerospace and Electronic Systems Magazine. 14(3). 13–18. 8 indexed citations
12.
Meyer, Michaël & Hermann Hild. (1997). Recognition of spoken and spelled proper names. 1579–1582. 18 indexed citations
13.
Meyer, Michaël, et al.. (1996). Fusion of IFF and radar data. 65–70. 6 indexed citations
14.
Meyer, Michaël, et al.. (1996). A new system for video-based detection of moving objects and its integration into digital networks. 105–110. 11 indexed citations
15.
Hötter, Michael, Rudolf Mester, & Michaël Meyer. (1996). Detection of moving objects using a robust displacement estimation including a statistical error analysis. 27 29. 249–255 vol.4. 5 indexed citations
16.
Meyer, Michaël. (1981). Thoreau and Black Emigration. American Literature. 53(3). 380–380. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026