Roland Kühn

48 papers and 1.3k indexed citations i.

About

Roland Kühn is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roland Kühn has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roland Kühn’s work include Natural Language Processing Techniques (35 papers), Topic Modeling (29 papers) and Speech Recognition and Synthesis (11 papers). Roland Kühn is often cited by papers focused on Natural Language Processing Techniques (35 papers), Topic Modeling (29 papers) and Speech Recognition and Synthesis (11 papers). Roland Kühn collaborates with scholars based in Canada, United States and Germany. Roland Kühn's co-authors include George Foster, Renato De Mori, Nancy Niedzielski, J.-C. Junqua, P. Nguyen, Howard Johnson, Boxing Chen, Cyril Goutte, Joel Martin and Pierre Isabelle and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Speech and Audio Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Roland Kühn i

Fields of papers citing papers by Roland Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roland Kühn

Since Specialization
Citations

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