Saeed V. Vaseghi

3.6k total citations · 1 hit paper
99 papers, 2.4k citations indexed

About

Saeed V. Vaseghi is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Saeed V. Vaseghi has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Signal Processing, 65 papers in Artificial Intelligence and 23 papers in Computational Mechanics. Recurrent topics in Saeed V. Vaseghi's work include Speech and Audio Processing (69 papers), Speech Recognition and Synthesis (62 papers) and Music and Audio Processing (25 papers). Saeed V. Vaseghi is often cited by papers focused on Speech and Audio Processing (69 papers), Speech Recognition and Synthesis (62 papers) and Music and Audio Processing (25 papers). Saeed V. Vaseghi collaborates with scholars based in United Kingdom, United States and Taiwan. Saeed V. Vaseghi's 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 and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

In The Last Decade

Saeed V. Vaseghi

95 papers receiving 2.1k citations

Hit Papers

Advanced Digital Signal Processing and Noise Reduction 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saeed V. Vaseghi United Kingdom 18 1.3k 739 488 482 325 99 2.4k
Fumitada Itakura Japan 22 2.5k 2.0× 1.5k 2.0× 835 1.7× 597 1.2× 162 0.5× 135 3.4k
Jonathan S. Abel United States 21 1.4k 1.1× 576 0.8× 466 1.0× 463 1.0× 1.1k 3.3× 137 2.5k
William A. Sethares United States 29 1.1k 0.9× 563 0.8× 664 1.4× 646 1.3× 649 2.0× 149 3.0k
R. McAulay United States 13 2.1k 1.7× 786 1.1× 696 1.4× 934 1.9× 114 0.4× 61 2.6k
Yunxin Zhao United States 21 710 0.6× 746 1.0× 325 0.7× 207 0.4× 121 0.4× 136 1.8k
M.H. Ackroyd United Kingdom 13 1.2k 1.0× 758 1.0× 593 1.2× 341 0.7× 323 1.0× 33 2.3k
S.T. Alexander United States 15 1.4k 1.1× 528 0.7× 433 0.9× 1.5k 3.0× 487 1.5× 58 2.7k
Daniel W. Griffin United States 5 1.2k 1.0× 671 0.9× 512 1.0× 336 0.7× 92 0.3× 8 1.7k
Alfred Mertins Germany 27 1.3k 1.0× 575 0.8× 927 1.9× 522 1.1× 486 1.5× 262 3.6k
Hugo Van hamme Belgium 27 1.7k 1.3× 1.6k 2.1× 388 0.8× 333 0.7× 469 1.4× 258 3.3k

Countries citing papers authored by Saeed V. Vaseghi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Procházka, Aleš, Hana Charvátová, Saeed V. Vaseghi, & Oldřich Vyšata. (2018). Machine Learning in Rehabilitation Assessment for Thermal and Heart Rate Data Processing. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(6). 1209–1214. 25 indexed citations
2.
Procházka, Aleš, et al.. (2013). Remote physiological and GPS data processing in evaluation of physical activities. Medical & Biological Engineering & Computing. 52(4). 301–308. 11 indexed citations
3.
Vaseghi, Saeed V., et al.. (2013). Multi-resolution edge-guided image gap restoration. 374–379. 2 indexed citations
4.
Milner, Ben, et al.. (2008). Comparing noise compensation methods for robust prediction of acoustic speech features from MFCC vectors in noise. UEA Digital Repository (University of East Anglia). 1–5. 2 indexed citations
5.
Vaseghi, Saeed V., et al.. (2007). Cross-Entropic Comparison Of The Effects Of Accent, Speaker And Database Recording On Spectral Features Of English Accents. INFM-OAR (INFN Catania). 2365–2369. 1 indexed citations
6.
Qin, Yan, et al.. (2006). Kalman filter with linear predictor and harmonic noise models for noisy speech enhancement. UEA Digital Repository (University of East Anglia). 1–4.
7.
Vaseghi, Saeed V., et al.. (2006). Speech enhancement with Kalman filtering the short-time DFT trajectories of noise and speech. European Signal Processing Conference. 1–5. 1 indexed citations
8.
Vaseghi, Saeed V., et al.. (2004). Transformation of speaker characteristics for voice conversion. 706–711. 13 indexed citations
9.
Vaseghi, Saeed V. & P. J. Rayner. (2003). The effects of non-stationary signal characteristics on the performance of adaptive audio restoration systems. International Conference on Acoustics, Speech, and Signal Processing. 377–380. 4 indexed citations
10.
Vaseghi, Saeed V., et al.. (2002). Synthesis of unseen context and spectral and pitch contour smoothing in concatenated text to speech synthesis. IEEE International Conference on Acoustics Speech and Signal Processing. 4. I–469. 6 indexed citations
11.
Vaseghi, Saeed V.. (2002). Finite state CELP for variable rate speech coding. International Conference on Acoustics, Speech, and Signal Processing. 37–40. 5 indexed citations
12.
Harte, Naomi, et al.. (2000). Discriminative multi-resolution sub-band andsegmental phonetic model combination. Electronics Letters. 36(3). 270–271. 1 indexed citations
13.
Vaseghi, Saeed V., et al.. (2000). Multi-resolution sub-band features and models for HMM-based phonetic modelling. Computer Speech & Language. 14(3). 241–259. 4 indexed citations
14.
Harte, Naomi, et al.. (1996). Dynamic features for segmental speech recognition. 4th International Conference on Spoken Language Processing (ICSLP 1996). 933–936. 1 indexed citations
15.
Vaseghi, Saeed V.. (1996). Advanced Signal Processing and Digital Noise Reduction. 263 indexed citations
16.
Milner, Ben & Saeed V. Vaseghi. (1995). An analysis of cepstral-time matrices for noise and channel robust speech recognition. UEA Digital Repository (University of East Anglia). 519–522. 14 indexed citations
17.
Vaseghi, Saeed V., et al.. (1992). Restoration of Old Gramophone Recordings. Journal of the Audio Engineering Society. 40(10). 791–801. 49 indexed citations
18.
Vaseghi, Saeed V., et al.. (1992). Speech recognition in noisy environments. 1487–1490. 3 indexed citations
19.
Vaseghi, Saeed V.. (1991). Hidden Markov models with duration-dependent state transition probabilities. Electronics Letters. 27(8). 625–626. 7 indexed citations
20.
Vaseghi, Saeed V.. (1990). Detection and suppression of impulsive noise in speech communication systems. Medical Entomology and Zoology. 137. 38–46. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026