Jan Niehues

219 total papers · 3.3k total citations
105 papers, 1.4k citations indexed

About

Jan Niehues is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jan Niehues has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Jan Niehues's work include Natural Language Processing Techniques (93 papers), Topic Modeling (83 papers) and Speech Recognition and Synthesis (32 papers). Jan Niehues is often cited by papers focused on Natural Language Processing Techniques (93 papers), Topic Modeling (83 papers) and Speech Recognition and Synthesis (32 papers). Jan Niehues collaborates with scholars based in Germany, United States and Netherlands. Jan Niehues's co-authors include Alex Waibel, Eunah Cho, Marcello Federico, Mauro Cettolo, Luisa Bentivogli, Teresa Herrmann, Sebastian Stüker, Muntsin Kolss, Matthias Sperber and Stephan Vogel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Speech Communication and Multimedia Tools and Applications.

In The Last Decade

Jan Niehues

99 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Niehues 1.3k 279 74 40 39 105 1.4k
José A. R. Fonollosa 971 0.7× 211 0.8× 92 1.2× 42 1.1× 45 1.2× 91 1.1k
François Yvon 1.3k 1.0× 154 0.6× 123 1.7× 57 1.4× 68 1.7× 130 1.4k
Claire Gardent 1.1k 0.9× 140 0.5× 33 0.4× 92 2.3× 61 1.6× 110 1.3k
Mitesh M. Khapra 1.2k 0.9× 441 1.6× 61 0.8× 37 0.9× 29 0.7× 85 1.5k
Liang Huang 1.3k 1.0× 292 1.0× 77 1.0× 26 0.7× 119 3.1× 64 1.6k
Mauro Cettolo 1.5k 1.1× 351 1.3× 188 2.5× 63 1.6× 56 1.4× 79 1.6k
Yonatan Belinkov 1000 0.8× 257 0.9× 59 0.8× 28 0.7× 25 0.6× 59 1.1k
Naman Goyal 1.1k 0.8× 270 1.0× 132 1.8× 16 0.4× 40 1.0× 26 1.2k
Marjan Ghazvininejad 1.1k 0.9× 419 1.5× 51 0.7× 17 0.4× 34 0.9× 32 1.3k
Juan Pino 1.2k 0.9× 157 0.6× 283 3.8× 20 0.5× 10 0.3× 51 1.3k

Countries citing papers authored by Jan Niehues

Since Specialization
Citations

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

Fields of papers citing papers by Jan Niehues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Niehues

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Niehues. A scholar is included among the top collaborators of Jan Niehues based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Niehues. Jan Niehues is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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