Sebastian Krebs

5 papers and 198 indexed citations i.

About

Sebastian Krebs is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Sebastian Krebs has authored 5 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Sebastian Krebs’s work include Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (2 papers). Sebastian Krebs is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (2 papers). Sebastian Krebs collaborates with scholars based in Germany and The Netherlands. Sebastian Krebs's co-authors include Fabian Flohr, Markus Braun and Dariu M. Gavrila and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Data Archiving and Networked Services (DANS) and 2022 IEEE Intelligent Vehicles Symposium (IV).

In The Last Decade

Co-authorship network of co-authors of Sebastian Krebs i

Fields of papers citing papers by Sebastian Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Krebs

Since Specialization
Citations

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

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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2025