Najim Dehak
- Artificial Intelligence top 0.1%
- Signal Processing top 0.05%
- Physiology top 5%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Patrick KennyPierre DumouchelRéda DehakPierre OuelletJesús VillalbaDouglas A. ReynoldsFred RichardsonLaureano Moro-Velázquez
- Topics
- Speech Recognition and Synthesis (121 papers)Speech and Audio Processing (77 papers)Music and Audio Processing (65 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Najim Dehak
153 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 5.4k
- Signal Processing 4.9k
- Physiology 567
- Computer Vision and Pattern Recognition 514
- Experimental and Cognitive Psychology 489
Countries citing papers authored by Najim Dehak
This map shows the geographic impact of Najim Dehak'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 Najim Dehak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najim Dehak more than expected).
Fields of papers citing papers by Najim Dehak
This network shows the impact of papers produced by Najim Dehak. 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 Najim Dehak. The network helps show where Najim Dehak may publish in the future.
Co-authorship network of co-authors of Najim Dehak
This figure shows the co-authorship network connecting the top 25 collaborators of Najim Dehak. A scholar is included among the top collaborators of Najim Dehak 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 Najim Dehak. Najim Dehak 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 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 37 | |
| 6 | 2 | |
| 7 | Analysis of phonatory features for the automatic detection of Parkinson's Disease in two different corpora | 3 |
| 8 | 61 | |
| 9 | Low Resource Multi-modal Data Augmentation for End-to-end ASR. | 1 |
| 10 | I-Vector Representation Based on GMM and DNN for Audio Classification. | 3 |
| 11 | 6 | |
| 12 | 28 | |
| 13 | First attempt of boltzmann machines for speaker verification. | 35 |
| 14 | The MITLL NIST LRE 2011 language recognition system. | 32 |
| 15 | 58 | |
| 16 | Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification. | 38 |
| 17 | 228 | |
| 18 | The role of speaker factors in the NIST extended data task. | 9 |
| 19 | Kernel combination for SVM speaker verification | 9 |
| 20 | Comparison between factor analysis and GMM support vector machines for speaker verification | 8 |
About Najim Dehak
Najim Dehak is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 170 papers that have together received 6.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (121 papers), Speech and Audio Processing (77 papers) and Music and Audio Processing (65 papers). The work is most often cited by research in Signal Processing (4.9k citations), Artificial Intelligence (5.4k citations) and Experimental and Cognitive Psychology (489 citations). Najim Dehak has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Patrick Kenny, Pierre Dumouchel, Réda Dehak, Pierre Ouellet, Jesús Villalba, Douglas A. Reynolds, Fred Richardson, Laureano Moro-Velázquez, James Glass and V. Gupta. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.