Philipp Klumpp
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
Papers in
-
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 2
-
- Music and Audio Processing 5
- Speech and Audio Processing 5
- Co-authors
- Elmar Nöth (19 shared papers)Juan Rafael Orozco‐Arroyave (18 shared papers)Juan Camilo Vásquez-Correa (15 shared papers)Tomás Arias‐Vergara (16 shared papers)Paula Andrea Pérez-Toro (15 shared papers)Martin J. Schuster (1 shared paper)Bjoern M. Eskofier (3 shared papers)Christine F. Martindale (1 shared paper)
- Journals
- Computer Speech & Language (1 paper)Speech Communication (1 paper)Neurocomputing (1 paper)Pattern Analysis and Applications (1 paper)Neurodegenerative Disease Management (1 paper)
- Partner nations
- GermanyColombiaSwitzerland
In The Last Decade
Philipp Klumpp
23 papers receiving 282 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 83
- Artificial Intelligence 128
- Experimental and Cognitive Psychology 48
- Physiology 90
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Philipp Klumpp
This map shows the geographic impact of Philipp Klumpp'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 Philipp Klumpp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Klumpp more than expected).
Fields of papers citing papers by Philipp Klumpp
This network shows the impact of papers produced by Philipp Klumpp. 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 Philipp Klumpp. The network helps show where Philipp Klumpp may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Klumpp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2019 | 31 | |
| 3 | 2020 | 31 | |
| 4 | 2018 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | ANN-based Alzheimer's disease classification from bag of words. | 2018 | 8 |
| 12 | 2020 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 3 | |
| 20 | Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. | 2019 | 2 |
About Philipp Klumpp
Philipp Klumpp is a scholar working on Artificial Intelligence, Signal Processing, Physiology, Experimental and Cognitive Psychology and Neurology, having authored 24 papers that have together received 293 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Voice and Speech Disorders (7 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Phonetics and Phonology Research (3 papers), Assistive Technology in Communication and Mobility (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Signal Processing (83 citations), Artificial Intelligence (128 citations), Experimental and Cognitive Psychology (48 citations), Physiology (90 citations) and Computer Vision and Pattern Recognition (38 citations). Philipp Klumpp has collaborated with scholars based in Germany, Colombia and Switzerland. Frequent co-authors include Elmar Nöth, Juan Rafael Orozco‐Arroyave, Juan Camilo Vásquez-Correa, Tomás Arias‐Vergara, Paula Andrea Pérez-Toro, Martin J. Schuster, Bjoern M. Eskofier, Christine F. Martindale, Vincent Christlein and Maria Schuster. Their work appears in journals such as Computer Speech & Language, Speech Communication, Neurocomputing, Pattern Analysis and Applications and Neurodegenerative Disease Management.
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.