Tobias Moers

475 total citations
9 papers, 283 citations indexed

About

Tobias Moers is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tobias Moers has authored 9 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Tobias Moers's work include Autonomous Vehicle Technology and Safety (8 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Traffic and Road Safety (2 papers). Tobias Moers is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Traffic and Road Safety (2 papers). Tobias Moers collaborates with scholars based in Germany. Tobias Moers's co-authors include Robert Krajewski, Lutz Eckstein, Julian Bock, Adrian Zlocki and Laurent Kloeker and has published in prestigious journals such as ATZ - Automobiltechnische Zeitschrift, 2022 IEEE Intelligent Vehicles Symposium (IV) and ATZ worldwide.

In The Last Decade

Tobias Moers

8 papers receiving 278 citations

Peers

Tobias Moers
Comparison fields: 5 of 38
  • Automotive Engineering 197
  • Control and Systems Engineering 90
  • Safety, Risk, Reliability and Quality 68
  • Building and Construction 67
  • Computer Vision and Pattern Recognition 62
Replace Samer Ammoun with:
Samer Ammoun France
Andreas Lawitzky Germany
Christoph Hermes Germany
Yeping Hu United States
Jiatong Du China
Adrian Zlocki Germany
Chenxi Liu China
Zoey Yang Germany
Maximilian Naumann Germany
Lizhe Li United States
Samer Ammoun France View profile →
Citations per field, relative to Tobias Moers
Tobias Moers · 1×
Citations per year, relative to Tobias Moers
Tobias Moers · 1×

Countries citing papers authored by Tobias Moers

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Moers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Moers

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 71
2 1
3 0
4 3
5 7
6 133
7 17
8 3
9 48

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