Afsaneh Asaei
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Hervé BourlardVolkan CevherMiloš CerňakPhilip N. GarnerDaniel PizarroJavier Macías-GuarasaDhananjay RamMohammad Golbabaee
- Topics
- Speech and Audio Processing (42 papers)Speech Recognition and Synthesis (29 papers)Music and Audio Processing (18 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Signal Processing MagazineFrontiers in Human Neuroscience
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Afsaneh Asaei
48 papers receiving 440 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 366
- Artificial Intelligence 186
- Computational Mechanics 160
- Electrical and Electronic Engineering 140
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Afsaneh Asaei
This map shows the geographic impact of Afsaneh Asaei'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 Afsaneh Asaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afsaneh Asaei more than expected).
Fields of papers citing papers by Afsaneh Asaei
This network shows the impact of papers produced by Afsaneh Asaei. 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 Afsaneh Asaei. The network helps show where Afsaneh Asaei may publish in the future.
Co-authorship network of co-authors of Afsaneh Asaei
This figure shows the co-authorship network connecting the top 25 collaborators of Afsaneh Asaei. A scholar is included among the top collaborators of Afsaneh Asaei 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 Afsaneh Asaei. Afsaneh Asaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | Cognitive Speech Coding | 1 |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | Sparse Hidden Markov Models for Automatic Speech Recognition | 0 |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | Structured Sparse Acoustic Modeling for Speech Separation | 1 |
| 19 | 30 | |
| 20 | 8 |
About Afsaneh Asaei
Afsaneh Asaei is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 51 papers that have together received 489 indexed citations. Recurring topics across this work include Speech and Audio Processing (42 papers), Speech Recognition and Synthesis (29 papers) and Music and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (366 citations), Computational Mechanics (160 citations) and Artificial Intelligence (186 citations). Afsaneh Asaei has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Hervé Bourlard, Volkan Cevher, Miloš Cerňak, Philip N. Garner, Daniel Pizarro, Javier Macías-Guarasa, Dhananjay Ram, Mohammad Golbabaee, Hamid Reza Abutalebi and Quoc Tran Dinh. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and Frontiers in Human Neuroscience.
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.