Saeed V. Vaseghi
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Yan QinBen MilnerP. J. RaynerJonathan DarchAleš ProcházkaOldřich VyšataHana CharvátováNaomi Harte
- Topics
- Speech and Audio Processing (69 papers)Speech Recognition and Synthesis (62 papers)Music and Audio Processing (25 papers)
- Journals
- IEEE Transactions on Image ProcessingThe Journal of the Acoustical Society of AmericaIEEE Signal Processing Magazine
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Saeed V. Vaseghi
95 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Signal Processing 1.3k
- Artificial Intelligence 739
- Computer Vision and Pattern Recognition 488
- Computational Mechanics 482
- Electrical and Electronic Engineering 325
Countries citing papers authored by Saeed V. Vaseghi
This map shows the geographic impact of Saeed V. Vaseghi'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 Saeed V. Vaseghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed V. Vaseghi more than expected).
Fields of papers citing papers by Saeed V. Vaseghi
This network shows the impact of papers produced by Saeed V. Vaseghi. 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 Saeed V. Vaseghi. The network helps show where Saeed V. Vaseghi may publish in the future.
Co-authorship network of co-authors of Saeed V. Vaseghi
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed V. Vaseghi. A scholar is included among the top collaborators of Saeed V. Vaseghi 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 Saeed V. Vaseghi. Saeed V. Vaseghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 11 | |
| 3 | Comparing noise compensation methods for robust prediction of acoustic speech features from MFCC vectors in noise | 2 |
| 4 | 9 | |
| 5 | Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement | 0 |
| 6 | Speech enhancement with Kalman filtering the short-time DFT trajectories of noise and speech | 1 |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 265 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | Restoration of Old Gramophone Recordings | 49 |
| 20 | 3 |
About Saeed V. Vaseghi
Saeed V. Vaseghi is a scholar working on Signal Processing, Artificial Intelligence and Linguistics and Language, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (69 papers), Speech Recognition and Synthesis (62 papers) and Music and Audio Processing (25 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (488 citations) and Computational Mechanics (482 citations). Saeed V. Vaseghi has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Yan Qin, Ben Milner, P. J. Rayner, Jonathan Darch, Aleš Procházka, Oldřich Vyšata, Hana Charvátová, Naomi Harte, Ji Ming and Darryl Stewart. Their work appears in journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.
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.