Matthias Sperber

853 total citations
31 papers, 342 citations indexed

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 31 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Matthias Sperber's work include Natural Language Processing Techniques (24 papers), Speech Recognition and Synthesis (19 papers) and Topic Modeling (16 papers). Matthias Sperber is often cited by papers focused on Natural Language Processing Techniques (24 papers), Speech Recognition and Synthesis (19 papers) and Topic Modeling (16 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, Alexander Waibel, Thanh-Le Ha, Satoshi Nakamura, Markus Müller, Elizabeth Salesky, Zhong Zhou and Eunah Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Speech Communication and Language Resources and Evaluation.

In The Last Decade

Matthias Sperber

30 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthias Sperber Germany	11	296	65	31	30	27	31	342
Saab Mansour Germany	10	311 1.1×	44 0.7×	13 0.4×	4 0.1×	6 0.2×	35	333
Arne Mauser Germany	11	411 1.4×	32 0.5×	24 0.8×	5 0.2×	5 0.2×	17	439
Thanh-Le Ha Germany	10	257 0.9×	68 1.0×	8 0.3×		16 0.6×	27	266
Philip John Gorinski Sweden	9	128 0.4×	28 0.4×	12 0.4×		9 0.3×	11	150
S.F. Chen United States	6	276 0.9×	25 0.4×	5 0.2×	2 0.1×	71 2.6×	8	304
Jason Riesa United States	9	231 0.8×	44 0.7×	7 0.2×		29 1.1×	14	250
Laura Rimell United Kingdom	13	363 1.2×	43 0.7×	59 1.9×		5 0.2×	27	394
Yannic Kilcher Switzerland	4	58 0.2×	22 0.3×	14 0.5×	24 0.8×	48 1.8×	6	129
Sebastian Stüker Germany	8	235 0.8×	57 0.9×	6 0.2×		49 1.8×	16	248
Michaela Regneri Germany	7	230 0.8×	254 3.9×	7 0.2×		11 0.4×	14	404

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).

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.

Co-authorship network of co-authors of Matthias Sperber

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Sperber. A scholar is included among the top collaborators of Matthias Sperber 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 Matthias Sperber. Matthias Sperber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sperber, Matthias, et al.. (2025). Toward Machine Interpreting: Lessons from Human Interpreting Studies. 23349–23364.

Gheini, Mozhdeh, Tatiana Likhomanenko, Matthias Sperber, & Hendra Setiawan. (2023). Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. 7637–7650. 1 indexed citations

Sperber, Matthias, et al.. (2023). Automating Behavioral Testing in Machine Translation. 1014–1030. 1 indexed citations

Sperber, Matthias, et al.. (2023). Towards Real-World Streaming Speech Translation for Code-Switched Speech. 14–22. 1 indexed citations

Sperber, Matthias, Graham Neubig, Jan Niehues, & Alex Waibel. (2019). Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation. Transactions of the Association for Computational Linguistics. 7. 313–325. 42 indexed citations

Salesky, Elizabeth, Matthias Sperber, & Alexander Waibel. (2019). Fluent Translations from Disfluent Speech in End-to-End Speech Translation. 2786–2792. 17 indexed citations

Zhou, Zhong, Matthias Sperber, & Alexander Waibel. (2019). Paraphrases as Foreign Languages in Multilingual Neural Machine Translation. 113–122. 12 indexed citations

Neubig, Graham, Matthias Sperber, Xinyi Wang, et al.. (2018). XNMT: the eXtensible Neural Machine Translation toolkit. Monash University Research Portal (Monash University). 185–192. 13 indexed citations

Sperber, Matthias, et al.. (2018). Open Source Toolkit for Speech to Text Translation. SHILAP Revista de lepidopterología. 111(1). 125–135. 6 indexed citations

10.

Ha, Thanh-Le, Markus Müller, Jan Niehues, et al.. (2018). KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning. Repository KITopen (Karlsruhe Institute of Technology). 89–93. 4 indexed citations

11.

Zhou, Zhong, Matthias Sperber, & Alexander Waibel. (2018). Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation. 232–243. 6 indexed citations

12.

Niehues, Jan, et al.. (2018). Low-Latency Neural Speech Translation. 34 indexed citations

13.

Sperber, Matthias, Graham Neubig, Satoshi Nakamura, & Alex Waibel. (2016). Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces. Language Resources and Evaluation. 1986–1992. 4 indexed citations

14.

Sperber, Matthias, Graham Neubig, Jan Niehues, Sebastian Stüker, & Alex Waibel. (2016). Lightly Supervised Quality Estimation. KITopen. 3103–3113. 1 indexed citations

15.

Sperber, Matthias, et al.. (2014). Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff. Transactions of the Association for Computational Linguistics. 2. 169–180. 5 indexed citations

16.

Kilgour, Kevin, Michael Heck, Markus Müller, et al.. (2014). The 2014 KIT IWSLT Speech-to-Text Systems for English, German and Italian. KITopen. 7 indexed citations

17.

Sperber, Matthias, Graham Neubig, Satoshi Nakamura, & Alex Waibel. (2014). On-the-fly user modeling for cost-sensitive correction of speech transcripts. 460–465. 1 indexed citations

18.

Sperber, Matthias, Graham Neubig, Christian Fügen, Satoshi Nakamura, & Alex Waibel. (2013). Efficient speech transcription through respeaking. 1087–1091. 15 indexed citations

19.

Heck, Michael, Matthias Sperber, Sakriani Sakti, et al.. (2012). The KIT-NAIST (Contrastive) English ASR System for IWSLT 2012. KITopen. 91–95. 2 indexed citations

20.

Nebel, Markus E., et al.. (2011). JAGUC — A SOFTWARE PACKAGE FOR ENVIRONMENTAL DIVERSITY ANALYSES. Journal of Bioinformatics and Computational Biology. 9(6). 749–773. 35 indexed citations

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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