Ralf Schlüter

191 papers and 3.8k indexed citations i.

About

Ralf Schlüter is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ralf Schlüter has authored 191 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Artificial Intelligence, 98 papers in Signal Processing and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ralf Schlüter’s work include Speech Recognition and Synthesis (153 papers), Speech and Audio Processing (83 papers) and Natural Language Processing Techniques (83 papers). Ralf Schlüter is often cited by papers focused on Speech Recognition and Synthesis (153 papers), Speech and Audio Processing (83 papers) and Natural Language Processing Techniques (83 papers). Ralf Schlüter collaborates with scholars based in Germany, United States and France. Ralf Schlüter's co-authors include Hermann Ney, Martin Sundermeyer, Zoltán Tüske, Albert Zeyer, Pavel Golik, Frank Wessel, Klaus Macherey, Georg Heigold, Kazuki Irie and Wolfgang Macherey and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Energy.

In The Last Decade

Co-authorship network of co-authors of Ralf Schlüter i

Fields of papers citing papers by Ralf Schlüter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ralf Schlüter

Since Specialization
Citations

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