Jonas Gehring
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
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- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 5
- Artificial Intelligence in Games 2
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- Music and Audio Processing 7
- Speech and Audio Processing 5
- Co-authors
- Michael Auli (2 shared papers)Yann Dauphin (2 shared papers)David Grangier (2 shared papers)Denis Yarats (1 shared paper)Alex Waibel (8 shared papers)Florian Metze (3 shared papers)Yajie Miao (2 shared papers)Quốc Bảo Nguyễn (5 shared papers)
- Journals
- arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)KITopen (2 papers)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (2 papers)Figshare (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Jonas Gehring
13 papers receiving 1.1k citations
Jonas Gehring's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 959
- Computer Vision and Pattern Recognition 452
- Signal Processing 224
- Transportation 23
- Computational Mathematics 2
Countries citing papers authored by Jonas Gehring
This map shows the geographic impact of Jonas Gehring'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 Jonas Gehring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Gehring more than expected).
Fields of papers citing papers by Jonas Gehring
This network shows the impact of papers produced by Jonas Gehring. 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 Jonas Gehring. The network helps show where Jonas Gehring may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Gehring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Convolutional Sequence to Sequence Learning Hit paper breakdown → | 2017 | 666 |
| 2 | 2017 | 270 | |
| 3 | 2013 | 207 | |
| 4 | 2013 | 28 | |
| 5 | 2013 | 18 | |
| 6 | 2014 | 15 | |
| 7 | 2013 | 10 | |
| 8 | 2025 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2013 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2013 | 2 | |
| 13 | 2013 | 1 |
About Jonas Gehring
Jonas Gehring is a scholar working on Artificial Intelligence, Signal Processing, Sociology and Political Science, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Music and Audio Processing (7 papers), Natural Language Processing Techniques (5 papers), Speech and Audio Processing (5 papers), Artificial Intelligence in Games (2 papers), Digital Games and Media (2 papers), Multimodal Machine Learning Applications (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (959 citations), Computer Vision and Pattern Recognition (452 citations), Signal Processing (224 citations), Transportation (23 citations) and Computational Mathematics (2 citations). Jonas Gehring has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Michael Auli, Yann Dauphin, David Grangier, Denis Yarats, Alex Waibel, Florian Metze, Yajie Miao, Quốc Bảo Nguyễn, Kevin Kilgour and Ian Lane. Their work appears in journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, KITopen, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and Figshare.
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.