Kris Demuynck
About
In The Last Decade
Kris Demuynck
105 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 1.8k
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 197
- Experimental and Cognitive Psychology 163
- Electrical and Electronic Engineering 108
Countries citing papers authored by Kris Demuynck
This map shows the geographic impact of Kris Demuynck'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 Kris Demuynck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Demuynck more than expected).
Fields of papers citing papers by Kris Demuynck
This network shows the impact of papers produced by Kris Demuynck. 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 Kris Demuynck. The network helps show where Kris Demuynck may publish in the future.
Co-authorship network of co-authors of Kris Demuynck
This figure shows the co-authorship network connecting the top 25 collaborators of Kris Demuynck. A scholar is included among the top collaborators of Kris Demuynck 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 Kris Demuynck. Kris Demuynck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 9 | |
| 9 | ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification breakdown → | 748 |
| 10 | The effect of word similarity on N-gram language models in Northern and Southern Dutch | 0 |
| 11 | Speech Recognition Web Services for Dutch | 0 |
| 12 | Subspace-GMM acoustic models for under-resourced languages: feasibility study | 2 |
| 13 | Exemplar-based processing for speech recognition | 6 |
| 14 | A Speech Corpus for Modeling Language Acquisition: CAREGIVER | 22 |
| 15 | Automatic phonemic labeling and segmentation of spoken Dutch | 7 |
| 16 | Word Segmentation in the Spoken Dutch Corpus | 8 |
| 17 | An improved algorithm for the automatic segmentation of speech corpora | 6 |
| 18 | Assessing segmentations: two methods for confidence scoring automatic HMM-based word segmentations | 2 |
| 19 | 28 | |
| 20 | 60 |
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.