Y. Ephraim

11.4k total citations · 4 hit papers
87 papers, 8.1k citations indexed

About

Y. Ephraim is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Y. Ephraim has authored 87 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Signal Processing, 28 papers in Artificial Intelligence and 26 papers in Computational Mechanics. Recurrent topics in Y. Ephraim's work include Speech and Audio Processing (42 papers), Blind Source Separation Techniques (24 papers) and Advanced Adaptive Filtering Techniques (22 papers). Y. Ephraim is often cited by papers focused on Speech and Audio Processing (42 papers), Blind Source Separation Techniques (24 papers) and Advanced Adaptive Filtering Techniques (22 papers). Y. Ephraim collaborates with scholars based in United States, Israel and Australia. Y. Ephraim's co-authors include D. Malah, Harry L. Van Trees, Neri Merhav, Kristine L. Bell, Brian L. Mark, William J. Roberts, H. Lev-Ari, B.-H. Juang, L. R. Rabiner and Yossef Steinberg and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Y. Ephraim

85 papers receiving 7.5k citations

Hit Papers

Speech enhancement using a minimum mean-square error log-... 1984 2026 1998 2012 1985 1984 1995 2002 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Ephraim United States 25 6.9k 4.4k 2.5k 1.3k 718 87 8.1k
D. Malah Israel 21 5.6k 0.8× 3.6k 0.8× 1.8k 0.7× 1.2k 0.9× 1.3k 1.8× 123 6.6k
W. Bastiaan Kleijn Sweden 34 3.3k 0.5× 1.4k 0.3× 1.9k 0.8× 515 0.4× 2.3k 3.2× 302 5.2k
Reinhold Haeb‐Umbach Germany 30 3.7k 0.5× 1.1k 0.3× 2.7k 1.1× 340 0.3× 599 0.8× 246 4.8k
Mark D. Plumbley United Kingdom 43 4.9k 0.7× 863 0.2× 1.6k 0.7× 678 0.5× 2.5k 3.5× 284 7.0k
Mads Græsbøll Christensen Denmark 28 2.7k 0.4× 1.7k 0.4× 653 0.3× 346 0.3× 674 0.9× 315 3.8k
Shinji Watanabe United States 54 8.1k 1.2× 1.0k 0.2× 9.7k 3.8× 530 0.4× 1.0k 1.4× 547 12.6k
Julius O. Smith United States 35 4.0k 0.6× 1.1k 0.3× 658 0.3× 1.1k 0.9× 2.7k 3.7× 267 5.7k
Kiyohiro Shikano Japan 36 5.2k 0.8× 1.1k 0.3× 4.9k 1.9× 396 0.3× 975 1.4× 417 7.4k
David Wipf United States 30 1.8k 0.3× 1.9k 0.4× 668 0.3× 511 0.4× 1.6k 2.3× 84 5.2k
Bhiksha Raj United States 35 3.6k 0.5× 894 0.2× 2.8k 1.1× 401 0.3× 2.5k 3.4× 236 6.3k

Countries citing papers authored by Y. Ephraim

Since Specialization
Citations

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

Fields of papers citing papers by Y. Ephraim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Ephraim. 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 Y. Ephraim. The network helps show where Y. Ephraim may publish in the future.

Co-authorship network of co-authors of Y. Ephraim

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Ephraim. A scholar is included among the top collaborators of Y. Ephraim 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 Y. Ephraim. Y. Ephraim 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.
Mark, Brian L., et al.. (2022). Traffic Workload Envelope for Network Performance Guarantees with Multiplexing Gain. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 6325–6330.
2.
Lev-Ari, H., Y. Ephraim, & Brian L. Mark. (2022). Traffic rate network tomography with higher‐order cumulants. Networks. 81(2). 220–234. 1 indexed citations
3.
Mark, Brian L., et al.. (2019). Tail-Limited Phase-Type Burstiness Bounds for Network Traffic. 23. 1–6. 5 indexed citations
4.
Mark, Brian L., et al.. (2015). Collaborative Spectrum Sensing Based on Hidden Bivariate Markov Models. 1–6. 2 indexed citations
5.
Mark, Brian L. & Y. Ephraim. (2014). Explicit Causal Recursive Estimators for Continuous-Time Bivariate Markov Chains. IEEE Transactions on Signal Processing. 62(10). 2709–2718. 9 indexed citations
6.
Mark, Brian L., et al.. (2011). Hidden Markov process based dynamic spectrum access for cognitive radio. 1–6. 18 indexed citations
7.
Mark, Brian L. & Y. Ephraim. (2011). On modeling network congestion using continuous-time bivariate Markov chains. 13. 1–6. 2 indexed citations
8.
Ephraim, Y., et al.. (2009). Speech enhancement using the multistage Wiener filter. 55–60. 4 indexed citations
9.
Ephraim, Y. & William J. Roberts. (2008). An EM Algorithm for Markov Modulated Markov Processes. IEEE Transactions on Signal Processing. 57(2). 463–470. 24 indexed citations
10.
Roberts, William J., et al.. (2006). On Ryde/spl acute/n's EM algorithm for estimating MMPPs. IEEE Signal Processing Letters. 13(6). 373–376. 32 indexed citations
11.
Ephraim, Y., D. Malah, & B.-H. Juang. (2003). Speech enhancement based upon hidden Markov modeling. International Conference on Acoustics, Speech, and Signal Processing. 39. 353–356. 2 indexed citations
12.
Ljolje, Andrej, Y. Ephraim, & L. R. Rabiner. (2002). Estimation of hidden Markov model parameters by minimizing empirical error rate. International Conference on Acoustics, Speech, and Signal Processing. 709–712. 15 indexed citations
13.
Ephraim, Y. & Harry L. Van Trees. (2002). A spectrally-based signal subspace approach for speech enhancement. 1. 804–807. 5 indexed citations
14.
Ephraim, Y., et al.. (2001). Ground Vehicle Classification Using Hidden Markov Models. Defense Technical Information Center (DTIC). 7 indexed citations
15.
Ephraim, Y. & Harry L. Van Trees. (1993). A signal subspace approach for speech enhancement. IEEE International Conference on Acoustics Speech and Signal Processing. 355–358 vol.2. 63 indexed citations
16.
Ephraim, Y.. (1991). On minimum mean square error speech enhancement. 997–1000 vol.2. 6 indexed citations
17.
Serralheiro, António, Y. Ephraim, & Lawrence R. Rabiner. (1989). On nonstationary hidden Markov modeling of speech signals. 1159–1162. 3 indexed citations
18.
Ephraim, Y., H. Lev-Ari, & Robert M. Gray. (1988). Asymptotic minimum discrimination information measure for asymptotically weakly stationary processes. IEEE Transactions on Information Theory. 34(5). 1033–1040. 12 indexed citations
19.
Ephraim, Y. & D. Malah. (1986). Combined enhancement and adaptive transform coding of noisy speech. IEE Proceedings F Communications, Radar and Signal Processing. 133(1). 81–86. 1 indexed citations
20.
Ephraim, Y. & D. Malah. (1984). On the Estimation of the Short-Time Phase in Speech Enhancement Systems.. International Conference on Communications. 1488–1491. 1 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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