Martin Sundermeyer

23 papers and 1.9k indexed citations i.

About

Martin Sundermeyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Martin Sundermeyer has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Aerospace Engineering. Recurrent topics in Martin Sundermeyer’s work include Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (10 papers) and Robotics and Sensor-Based Localization (9 papers). Martin Sundermeyer is often cited by papers focused on Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (10 papers) and Robotics and Sensor-Based Localization (9 papers). Martin Sundermeyer collaborates with scholars based in Germany, France and United States. Martin Sundermeyer's co-authors include Hermann Ney, Ralf Schlüter, Rudolph Triebel, Maximilian Durner, Arsalan Mousavian, Dieter Fox, Zoltán-Csaba Márton, Joern Wuebker, Tamer Alkhouli and Ilya Oparin and has published in prestigious journals such as International Journal of Computer Vision, IEEE/ACM Transactions on Audio Speech and Language Processing and RWTH Publications (RWTH Aachen).

In The Last Decade

Co-authorship network of co-authors of Martin Sundermeyer i

Fields of papers citing papers by Martin Sundermeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Sundermeyer

Since Specialization
Citations

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