Matthias Sperber

32 papers and 514 indexed citations i.

About

Matthias Sperber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Matthias Sperber has authored 32 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Matthias Sperber’s work include Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (23 papers) and Topic Modeling (22 papers). Matthias Sperber is often cited by papers focused on Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (23 papers) and Topic Modeling (22 papers). Matthias Sperber collaborates with scholars based in Germany, United States and Japan. Matthias Sperber's co-authors include Alex Waibel, Jan Niehues, Graham Neubig, Matthias Paulik, Sebastian Stüker, Elizabeth Salesky, Ngoc-Quan Pham, Alexander Waibel, Thanh-Le Ha and Alan W. Black and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Matthias Sperber i

Fields of papers citing papers by Matthias Sperber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthias Sperber

Since Specialization
Citations

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