Jochen Weiner
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 9
- Topic Modeling 6
- Speech and dialogue systems 5
- Natural Language Processing Techniques 5
- Co-authors
- Tanja Schultz (16 shared papers)Christian Herff (2 shared papers)Ngoc Thang Vu (3 shared papers)Dominic Telaar (4 shared papers)Dau-Cheng Lyu (2 shared papers)Haizhou Li (2 shared papers)Eng Siong Chng (2 shared papers)Tim Schlippe (1 shared paper)
In The Last Decade
Jochen Weiner
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 84
- Artificial Intelligence 244
- Experimental and Cognitive Psychology 69
- Psychiatry and Mental health 54
- Cognitive Neuroscience 46
Countries citing papers authored by Jochen Weiner
This map shows the geographic impact of Jochen Weiner'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 Jochen Weiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Weiner more than expected).
Fields of papers citing papers by Jochen Weiner
This network shows the impact of papers produced by Jochen Weiner. 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 Jochen Weiner. The network helps show where Jochen Weiner may publish in the future.
Co-authors
The 24 scholars most cited alongside Jochen Weiner, 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 | 2012 | 105 | |
| 2 | 2016 | 55 | |
| 3 | 2017 | 41 | |
| 4 | 1971 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2016 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2014 | 9 | |
| 12 | Detection of Intra-Personal Development of Cognitive Impairment From Conversational Speech. | 2016 | 8 |
| 13 | 2019 | 8 | |
| 14 | 2014 | 6 | |
| 15 | 2020 | 6 | |
| 16 | Automatic Screening for Transition into Dementia using Speech | 2018 | 5 |
| 17 | 2013 | 5 | |
| 18 | 2017 | 2 | |
| 19 | Error Signatures to identify Errors in ASR in an unsupervised fashion | 2015 | 2 |
About Jochen Weiner
Jochen Weiner is a scholar working on Artificial Intelligence, Signal Processing, Cognitive Neuroscience, Developmental and Educational Psychology and Molecular Biology, having authored 19 papers that have together received 374 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Topic Modeling (6 papers), Speech and dialogue systems (5 papers), Natural Language Processing Techniques (5 papers), Neurobiology of Language and Bilingualism (3 papers), Language Development and Disorders (3 papers), Mental Health via Writing (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Signal Processing (84 citations), Artificial Intelligence (244 citations), Experimental and Cognitive Psychology (69 citations), Psychiatry and Mental health (54 citations) and Cognitive Neuroscience (46 citations). Jochen Weiner has collaborated with scholars based in Germany, Singapore and Chile. Frequent co-authors include Tanja Schultz, Christian Herff, Ngoc Thang Vu, Dominic Telaar, Dau-Cheng Lyu, Haizhou Li, Eng Siong Chng, Tim Schlippe, Johannes Schröder and Miguel Angrick. Their work appears in journals such as Computer Speech & Language, Occupational and Environmental Medicine, Linguistics Vanguard, Language Resources and Evaluation and Lecture notes in computer science.
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.