Slim Ouni
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Yves LapriéDominic W. MassaroMd SahidullahAsterios ToutiosIngmar SteinerMarie‐Odile BergerMichael CohenAndrea Bandini
- Topics
- Speech and Audio Processing (32 papers)Phonetics and Phonology Research (23 papers)Speech Recognition and Synthesis (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of the Acoustical Society of AmericaNeurocomputing
- Partner nations
- FranceUnited StatesEstonia
In The Last Decade
Slim Ouni
46 papers receiving 307 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 203
- Experimental and Cognitive Psychology 192
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 63
- Cognitive Neuroscience 46
Countries citing papers authored by Slim Ouni
This map shows the geographic impact of Slim Ouni'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 Slim Ouni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slim Ouni more than expected).
Fields of papers citing papers by Slim Ouni
This network shows the impact of papers produced by Slim Ouni. 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 Slim Ouni. The network helps show where Slim Ouni may publish in the future.
Co-authorship network of co-authors of Slim Ouni
This figure shows the co-authorship network connecting the top 25 collaborators of Slim Ouni. A scholar is included among the top collaborators of Slim Ouni 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 Slim Ouni. Slim Ouni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | A low-cost stereovision based system for acquisition of visible articulatory data | 15 |
| 15 | 16 | |
| 16 | 2 | |
| 17 | Introduction of constraints in an acoustic-to-articulatory inversion | 6 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Design of hypercube codebooks for the acoustic-to-articulatory inversion respecting the non-linearities of the articulatory-to-acoustic mapping. | 4 |
About Slim Ouni
Slim Ouni is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 51 papers that have together received 370 indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Phonetics and Phonology Research (23 papers) and Speech Recognition and Synthesis (22 papers). The work is most often cited by research in Signal Processing (203 citations), Experimental and Cognitive Psychology (192 citations) and Artificial Intelligence (177 citations). Slim Ouni has collaborated with scholars based in France, United States and Estonia. Frequent co-authors include Yves Laprié, Dominic W. Massaro, Md Sahidullah, Asterios Toutios, Ingmar Steiner, Marie‐Odile Berger, Michael Cohen, Andrea Bandini, Shinji Maeda and Piero Cosi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Neurocomputing.
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.