K. Ries
Impact in
- Artificial Intelligence top 5%
- Speech and dialogue systems
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Multi-Agent Systems and Negotiation
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 8
- Speech and dialogue systems 5
- Topic Modeling 2
- Co-authors
- Alex Waibel (4 shared papers)Martin Westphal (2 shared papers)Michael Finke (2 shared papers)Klaus Zechner (2 shared papers)Petra Geutner (1 shared paper)Thomas Kemp (1 shared paper)Florian Metze (1 shared paper)Hagen Soltau (1 shared paper)
- Journals
- Quality & Quantity (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (5 papers)ERA (1 paper)KITopen (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
K. Ries
11 papers receiving 353 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 314
- Signal Processing 98
- Human-Computer Interaction 19
- Computer Vision and Pattern Recognition 55
- Experimental and Cognitive Psychology 28
Countries citing papers authored by K. Ries
This map shows the geographic impact of K. Ries'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 K. Ries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Ries more than expected).
Fields of papers citing papers by K. Ries
This network shows the impact of papers produced by K. Ries. 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 K. Ries. The network helps show where K. Ries may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Ries, 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 | 2002 | 111 | |
| 2 | 2002 | 74 | |
| 3 | 2002 | 70 | |
| 4 | 1999 | 44 | |
| 5 | 2021 | 32 | |
| 6 | 2002 | 29 | |
| 7 | 2002 | 23 | |
| 8 | 1998 | 10 | |
| 9 | 2002 | 6 | |
| 10 | 2002 | 5 | |
| 11 | 2002 | 3 |
About K. Ries
K. Ries is a scholar working on Artificial Intelligence, Signal Processing, General Health Professions, Philosophy and Education, having authored 11 papers that have together received 407 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (5 papers), Topic Modeling (2 papers), Hermeneutics and Narrative Identity (1 paper), Innovative Teaching and Learning Methods (1 paper), Educational Strategies and Epistemologies (1 paper) and Science Education and Pedagogy (1 paper). The work is most often cited by research in Artificial Intelligence (314 citations), Signal Processing (98 citations), Human-Computer Interaction (19 citations), Computer Vision and Pattern Recognition (55 citations) and Experimental and Cognitive Psychology (28 citations). K. Ries has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Alex Waibel, Martin Westphal, Michael Finke, Klaus Zechner, Petra Geutner, Thomas Kemp, Florian Metze, Hagen Soltau, M. Bett and Tanja Schultz. Their work appears in journals such as Quality & Quantity, Repository KITopen (Karlsruhe Institute of Technology), ERA and KITopen.
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.