Stephen A. Zahorian

1.5k total citations
81 papers, 984 citations indexed

About

Stephen A. Zahorian is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Stephen A. Zahorian has authored 81 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Signal Processing, 59 papers in Artificial Intelligence and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Stephen A. Zahorian's work include Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (54 papers) and Music and Audio Processing (29 papers). Stephen A. Zahorian is often cited by papers focused on Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (54 papers) and Music and Audio Processing (29 papers). Stephen A. Zahorian collaborates with scholars based in United States, Thailand and Egypt. Stephen A. Zahorian's co-authors include Hongbing Hu, Martin Rothenberg, Ronald T. Verrillo, Stanley J. Bolanowski, Michael L. Brachman, J. David Schaffer, Lingyun Gu, Xihong Wang, Allan J. Zuckerwar and David D. Qian and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and British Journal of Urology.

In The Last Decade

Stephen A. Zahorian

74 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Zahorian United States 16 570 544 297 218 90 81 984
Jean-Claude Junqua United States 12 779 1.4× 717 1.3× 239 0.8× 197 0.9× 97 1.1× 45 1.1k
Francis Charpentier France 8 625 1.1× 727 1.3× 474 1.6× 202 0.9× 129 1.4× 23 1.2k
Masanori Morise Japan 15 1.2k 2.1× 1.1k 2.0× 243 0.8× 219 1.0× 167 1.9× 92 1.6k
Hideki Banno Japan 11 403 0.7× 319 0.6× 162 0.5× 127 0.6× 77 0.9× 37 579
Werner Verhelst Belgium 16 455 0.8× 345 0.6× 271 0.9× 152 0.7× 196 2.2× 93 871
Okko Räsänen Finland 21 351 0.6× 606 1.1× 306 1.0× 242 1.1× 122 1.4× 101 1.4k
Thomas Hueber France 17 794 1.4× 697 1.3× 232 0.8× 346 1.6× 128 1.4× 53 1.4k
Pierre Badin France 19 492 0.9× 462 0.8× 574 1.9× 100 0.5× 163 1.8× 87 1.1k
Peter Bell United Kingdom 20 677 1.2× 1.1k 2.0× 326 1.1× 94 0.4× 123 1.4× 105 1.5k
Christophe Veaux France 13 791 1.4× 753 1.4× 105 0.4× 126 0.6× 133 1.5× 35 1.1k

Countries citing papers authored by Stephen A. Zahorian

Since Specialization
Citations

This map shows the geographic impact of Stephen A. Zahorian'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 Stephen A. Zahorian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen A. Zahorian more than expected).

Fields of papers citing papers by Stephen A. Zahorian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Zahorian. 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 Stephen A. Zahorian. The network helps show where Stephen A. Zahorian may publish in the future.

Co-authorship network of co-authors of Stephen A. Zahorian

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Zahorian. A scholar is included among the top collaborators of Stephen A. Zahorian 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 Stephen A. Zahorian. Stephen A. Zahorian 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.
Zahorian, Stephen A., Douglas H. Summerville, Scott Craver, & Michael Elmore. (2020). ABET Compliance Tracking System (ACTS). Papers on Engineering Education Repository (American Society for Engineering Education). 22.128.1–22.128.11.
4.
Zahorian, Stephen A., et al.. (2017). The relative importance of static versus spectral change acoustic features for automatic speaker identification. The Journal of the Acoustical Society of America. 141(5_Supplement). 3915–3915.
5.
Chen, Xiao, Hao Zhang, & Stephen A. Zahorian. (2015). Algorithms for measuring periodicity in F0 tracking. The Journal of the Acoustical Society of America. 138(3_Supplement). 1926–1926. 1 indexed citations
6.
Zahorian, Stephen A., et al.. (2015). Using automatic speech recognition to identify dementia in early stages. The Journal of the Acoustical Society of America. 138(3_Supplement). 1782–1782. 5 indexed citations
7.
Zahorian, Stephen A., et al.. (2012). Dual transmission model and related spectral content of the fetal heart sounds. Computer Methods and Programs in Biomedicine. 108(1). 20–27. 17 indexed citations
8.
Zahorian, Stephen A., Hongbing Hu, Zhengqing Chen, & Jiang Wu. (2009). Spectral and temporal modulation features for phonetic recognition. 1071–1074. 10 indexed citations
9.
Zahorian, Stephen A., et al.. (2002). Vowel classification for computer-based visual feedback for speech training for the hearing impaired. 973–976. 4 indexed citations
10.
Zahorian, Stephen A., et al.. (2002). Personal computer software vowel training aid for the hearing impaired. 6. 3625–3628. 8 indexed citations
11.
Zahorian, Stephen A., et al.. (2001). Signal modeling for high-performance robust isolated word recognition. IEEE Transactions on Speech and Audio Processing. 9(6). 647–654. 20 indexed citations
12.
Zahorian, Stephen A., et al.. (2000). Minimum mean square error spectral peak envelope estimation for automatic vowel classification. vol. 2, 1081–1084. 1 indexed citations
13.
Zahorian, Stephen A.. (1999). Reusable binary-paired partitioned neural networks for text-independent speaker identification. 849–852 vol.2. 2 indexed citations
14.
Zahorian, Stephen A., et al.. (1998). Fundamental frequency synchronous spectral analysis for vowel classification. The Journal of the Acoustical Society of America. 104(3_Supplement). 1805–1805. 2 indexed citations
15.
Zahorian, Stephen A. & N.S. Correal. (1994). Vowel training experiments with a computer-based vowel training system. The Journal of the Acoustical Society of America. 95(5_Supplement). 3014–3014. 1 indexed citations
16.
Zahorian, Stephen A., et al.. (1993). A partitioned neural network approach for vowel classification using smoothed time/frequency features. 1225–1228. 4 indexed citations
17.
Zahorian, Stephen A., et al.. (1993). Spectral-shape features versus formants as acoustic correlates for vowels. The Journal of the Acoustical Society of America. 94(4). 1966–1982. 122 indexed citations
18.
Zahorian, Stephen A., et al.. (1991). Dynamic spectral shape features as acoustic correlates for initial stop consonants. The Journal of the Acoustical Society of America. 89(6). 2978–2991. 56 indexed citations
19.
Zahorian, Stephen A., et al.. (1987). Speaker-independent automatic vowel recognition based on overall spectral shape versus formants. The Journal of the Acoustical Society of America. 82(S1). S37–S37. 4 indexed citations
20.
Rothenberg, Martin & Stephen A. Zahorian. (1977). Nonlinear inverse filtering technique for estimating the glottal-area waveform. The Journal of the Acoustical Society of America. 61(4). 1063–1071. 25 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.

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