Richard Huber
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Social Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Anton BatlinerElmar NöthKerstin FischerJörg SpilkerVolker WarnkeHeinrich NiemannJoachim StegmannFelix Burkhardt
- Topics
- Speech and dialogue systems (7 papers)Speech Recognition and Synthesis (6 papers)Natural Language Processing Techniques (6 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Richard Huber
21 papers receiving 466 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 332
- Experimental and Cognitive Psychology 255
- Signal Processing 188
- Social Psychology 83
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Richard Huber
This map shows the geographic impact of Richard Huber'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 Richard Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Huber more than expected).
Fields of papers citing papers by Richard Huber
This network shows the impact of papers produced by Richard Huber. 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 Richard Huber. The network helps show where Richard Huber may publish in the future.
Co-authorship network of co-authors of Richard Huber
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Huber. A scholar is included among the top collaborators of Richard Huber 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 Richard Huber. Richard Huber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 37 | |
| 3 | Data Visualization Tools: New Interactive Internet Resources to Facilitate Scientific Inquiry | 0 |
| 4 | 98 | |
| 5 | 1 | |
| 6 | Field Trips Online | 1 |
| 7 | 36 | |
| 8 | Internet Tools for Facilitating Inquiry | 6 |
| 9 | 19 | |
| 10 | 25 | |
| 11 | Use of prosodic speech characteristics for automated detection of alcohol intoxication | 16 |
| 12 | Duration features in prosodic classification: why normalization comes second, and what they really encode | 10 |
| 13 | Using Microtechnologies to Build Micro-Robot Systems | 3 |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | Collaborative Learning in Web-Based Instruction. | 6 |
| 18 | 5 | |
| 19 | Design and development of a motion compensator for the RSRA main rotor control | 0 |
| 20 | Sensory training for a fuller life. | 1 |
About Richard Huber
Richard Huber is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, having authored 24 papers that have together received 534 indexed citations. Recurring topics across this work include Speech and dialogue systems (7 papers), Speech Recognition and Synthesis (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (255 citations), Signal Processing (188 citations) and Artificial Intelligence (332 citations). Richard Huber has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Anton Batliner, Elmar Nöth, Kerstin Fischer, Jörg Spilker, Volker Warnke, Heinrich Niemann, Joachim Stegmann, Felix Burkhardt, Florian Metze and Josef G. Bauer. Their work appears in journals such as Water, Speech Communication and Journal of Science Teacher Education.
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.