Zied Lachiri
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Ahmed BrahamNoureddine EllouzeRiadh KsantiniAsma RabaouiNaimul KhanMaher KharratAmine Naït‐AliRégis Fournier
- Topics
- Speech and Audio Processing (52 papers)Emotion and Mood Recognition (31 papers)Speech Recognition and Synthesis (30 papers)
In The Last Decade
Zied Lachiri
155 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Signal Processing 280
- Artificial Intelligence 280
- Experimental and Cognitive Psychology 197
- Cognitive Neuroscience 184
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Zied Lachiri
This map shows the geographic impact of Zied Lachiri'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 Zied Lachiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zied Lachiri more than expected).
Fields of papers citing papers by Zied Lachiri
This network shows the impact of papers produced by Zied Lachiri. 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 Zied Lachiri. The network helps show where Zied Lachiri may publish in the future.
Co-authorship network of co-authors of Zied Lachiri
This figure shows the co-authorship network connecting the top 25 collaborators of Zied Lachiri. A scholar is included among the top collaborators of Zied Lachiri 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 Zied Lachiri. Zied Lachiri 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 54 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | PROBABILISTIC AND BOTTLENECK TANDEM FEATURES FOR EMOTION RECOGNITION FROM VIDEOS | 1 |
| 16 | 1 | |
| 17 | 9 | |
| 18 | Revealing Helitron signatures in Cænorhabditis elegans by the Complex Morlet Analysis based on the Frequency Chaos Game Signals | 4 |
| 19 | 1 | |
| 20 | 12 |
About Zied Lachiri
Zied Lachiri is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 171 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Emotion and Mood Recognition (31 papers) and Speech Recognition and Synthesis (30 papers). The work is most often cited by research in Signal Processing (280 citations), Experimental and Cognitive Psychology (197 citations) and Cognitive Neuroscience (184 citations). Zied Lachiri has collaborated with scholars based in Tunisia, France and Canada. Frequent co-authors include Ahmed Braham, Noureddine Ellouze, Riadh Ksantini, Asma Rabaoui, Naimul Khan, Maher Kharrat, Amine Naït‐Ali, Régis Fournier, Henda Triki and S Boubaker. Their work appears in journals such as Expert Systems with Applications, IEEE Access and International Journal of Remote Sensing.
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.