Michaël Meyer

771 citations
18 papers · 446 · h-index 9

Impact in

Papers in

Michaël Meyer

16 papers receiving 391 citations

Peers

Michaël Meyer
Comparison fields: 5 of 87
  • Instrumentation 39
  • Computer Vision and Pattern Recognition 148
  • Aerospace Engineering 135
  • Literature and Literary Theory 57
  • Linguistics and Language 21
Replace Magnus Gustafsson with:
Magnus Gustafsson Sweden
Gang Zeng China
Zhonghua Xiao China
Hongwei Jia China
Michael H. Bruch United States
David E. Schneider United States
Michel Denis France
Zhian Zhang China
Alex Leykin United States
Michaël Meyer relative to Magnus Gustafsson Sweden Magnus Gustafsson's profile →
Citations per field
00.5×5×12.3×
Magnus Gustafsson · 1×
Citations per year

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-authors

The 8 scholars most cited alongside Michaël Meyer, 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 Michaël Meyer Line = papers co-authored together Michaël Meyer links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2011165
2
Automotive Radar Dataset for Deep Learning Based 3D Object Detection
201984
3
Deep Learning Based 3D Object Detection for Automotive Radar and Camera
201955
4 202150
5 199719
6 199611
7 200210
8 199910
9 20209
10 19968
11 19966
12 20025
13 20024
14
Metody analiza teksta i diskursa
20094
15 19814
16 20221
17
A GIS application for remote environmental surveillance in areas of petroleum exploration
20071
18 20020

About Michaël Meyer

Michaël Meyer is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Artificial Intelligence and Instrumentation, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Vision and Imaging (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Video Coding and Compression Technologies (3 papers), Anomaly Detection Techniques and Applications (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Instrumentation (39 citations), Computer Vision and Pattern Recognition (148 citations), Aerospace Engineering (135 citations), Literature and Literary Theory (57 citations) and Linguistics and Language (21 citations). Michaël Meyer has collaborated with scholars based in Germany and United States. Frequent co-authors include Georg Kuschk, Sven Tomforde, Michael Hötter, Hermann Hild, Rudolf Mester, Robert A. Bosch, Ruth Wodak and Eva Vetter. Their work appears in journals such as IEEE Aerospace and Electronic Systems Magazine, American Literature, European Radar Conference, WU Research and Lancaster EPrints (Lancaster 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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