Hans‐Günter Hirsch
- Signal Processing top 0.2%
- Artificial Intelligence top 1%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- David J. PearceHynek HeřmanskýN. MorganPeter MeyerJ. PiconeHuan WangDavid GelbartWerner Hemmert
- Topics
- Speech and Audio Processing (20 papers)Speech Recognition and Synthesis (13 papers)Music and Audio Processing (5 papers)
- Journals
- Speech CommunicationINFM-OAR (INFN Catania)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
- Partner nations
- GermanyUnited States
In The Last Decade
Hans‐Günter Hirsch
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Signal Processing 1.7k
- Artificial Intelligence 1.3k
- Computational Mechanics 382
- Computer Vision and Pattern Recognition 218
- Cognitive Neuroscience 156
Countries citing papers authored by Hans‐Günter Hirsch
This map shows the geographic impact of Hans‐Günter Hirsch'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 Hans‐Günter Hirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Günter Hirsch more than expected).
Fields of papers citing papers by Hans‐Günter Hirsch
This network shows the impact of papers produced by Hans‐Günter Hirsch. 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 Hans‐Günter Hirsch. The network helps show where Hans‐Günter Hirsch may publish in the future.
Co-authorship network of co-authors of Hans‐Günter Hirsch
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Günter Hirsch. A scholar is included among the top collaborators of Hans‐Günter Hirsch 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 Hans‐Günter Hirsch. Hans‐Günter Hirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Simulation of the Hands-free Speech Input to Speech Recognition Systems by Measuring Room Impulse Responses. | 0 |
| 4 | Robust Speech Recognition by Combining a Robust Feature Extraction with an Adaptation of HMMs | 1 |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 53 | |
| 8 | 8 | |
| 9 | 34 | |
| 10 | 65 | |
| 11 | 11 | |
| 12 | 148 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditionsbreakdown → | 1327 |
| 17 | 1 | |
| 18 | 64 | |
| 19 | 58 | |
| 20 | 1 |
About Hans‐Günter Hirsch
Hans‐Günter Hirsch is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (13 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (1.7k citations), Artificial Intelligence (1.3k citations) and Computational Mechanics (382 citations). Hans‐Günter Hirsch has collaborated with scholars based in Germany and United States. Frequent co-authors include David J. Pearce, Hynek Heřmanský, N. Morgan, Peter Meyer, J. Picone, Huan Wang, David Gelbart, Werner Hemmert and Manfred Hägelen. Their work appears in journals such as Speech Communication, INFM-OAR (INFN Catania) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.