Markus Eisenbach

20 papers and 401 indexed citations i.

About

Markus Eisenbach is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Markus Eisenbach has authored 20 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Human-Computer Interaction and 3 papers in Artificial Intelligence. Recurrent topics in Markus Eisenbach’s work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Asphalt Pavement Performance Evaluation (3 papers). Markus Eisenbach is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Asphalt Pavement Performance Evaluation (3 papers). Markus Eisenbach collaborates with scholars based in Germany. Markus Eisenbach's co-authors include Horst–Michael Groß, Klaus Debes, Ronny Stricker, Daniel Seichter, Karl Amende, Tim Wengefeld, E. Einhorn, Christian Martín, Steffen Müller and Andrea Scheidig and has published in prestigious journals such as Sensors, IEEE Transactions on Neural Networks and Learning Systems and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Markus Eisenbach i

Fields of papers citing papers by Markus Eisenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Eisenbach

Since Specialization
Citations

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