E. Weinstein

6.3k total citations · 2 hit papers
62 papers, 4.5k citations indexed

About

E. Weinstein is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, E. Weinstein has authored 62 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 28 papers in Computational Mechanics and 24 papers in Artificial Intelligence. Recurrent topics in E. Weinstein's work include Speech and Audio Processing (24 papers), Advanced Adaptive Filtering Techniques (23 papers) and Blind Source Separation Techniques (23 papers). E. Weinstein is often cited by papers focused on Speech and Audio Processing (24 papers), Advanced Adaptive Filtering Techniques (23 papers) and Blind Source Separation Techniques (23 papers). E. Weinstein collaborates with scholars based in Israel, United States and Belgium. E. Weinstein's co-authors include Ofir Shalvi, Meir Feder, A.J. Weiss, David Burshtein, Sharon Gannot, Alan V. Oppenheim, Arie Feuer, Daniel M. Yellin, M. Segal and P.M. Schultheiss and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

E. Weinstein

60 papers receiving 4.2k citations

Hit Papers

New criteria for blind deconvolution of nonminimum phase ... 1988 2026 2000 2013 1990 1988 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
E. Weinstein Israel 25 3.4k 1.9k 1.0k 1.0k 490 62 4.5k
Karim Abed‐Meraim France 32 3.9k 1.2× 1.3k 0.7× 775 0.8× 1.4k 1.4× 792 1.6× 295 5.9k
D.W. Tufts United States 30 2.8k 0.8× 1.2k 0.6× 495 0.5× 1.1k 1.1× 295 0.6× 165 4.8k
J Treichler United States 16 1.9k 0.6× 1.4k 0.8× 430 0.4× 810 0.8× 356 0.7× 73 2.6k
R. Kumaresan United States 26 2.3k 0.7× 879 0.5× 550 0.5× 760 0.7× 150 0.3× 91 3.9k
Guanghan Xu United States 27 2.5k 0.7× 1.1k 0.6× 335 0.3× 1.7k 1.7× 1.2k 2.4× 97 3.8k
M. Wax Israel 27 6.1k 1.8× 1.4k 0.7× 619 0.6× 2.2k 2.2× 619 1.3× 86 7.7k
Ignacio Santamarı́a Spain 31 1.4k 0.4× 847 0.4× 723 0.7× 1.7k 1.7× 1.0k 2.1× 270 3.9k
A.G. Constantinides United Kingdom 28 1.6k 0.5× 1.1k 0.6× 674 0.7× 1.2k 1.2× 675 1.4× 246 4.1k
J. McCool United States 8 3.0k 0.9× 2.9k 1.5× 471 0.5× 822 0.8× 207 0.4× 8 4.7k
Petr Tichavský Czechia 25 1.6k 0.5× 607 0.3× 1.2k 1.2× 533 0.5× 481 1.0× 112 3.3k

Countries citing papers authored by E. Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by E. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Weinstein

This figure shows the co-authorship network connecting the top 25 collaborators of E. Weinstein. A scholar is included among the top collaborators of E. Weinstein 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 E. Weinstein. E. Weinstein 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.
Gannot, Sharon, David Burshtein, & E. Weinstein. (2004). Analysis of the Power Spectral Deviation of the General Transfer Function GSC. IEEE Transactions on Signal Processing. 52(4). 1115–1121. 13 indexed citations
2.
Segal, M. & E. Weinstein. (2003). Spatial and spectral parameter estimation of multiple source signals. International Conference on Acoustics, Speech, and Signal Processing. 31. 2665–2668.
3.
Weinstein, E. & Meir Feder. (2003). Sequential algorithms based on Kullback-Liebler information measure and their application to FIR system identification. International Conference on Acoustics, Speech, and Signal Processing. 39. 2085–2088.
4.
Shalvi, Ofir & E. Weinstein. (2002). Super-exponential methods for blind deconvolution. 107–110. 3 indexed citations
5.
Gannot, Sharon, David Burshtein, & E. Weinstein. (2001). Theoretical analysis of the General Transfer Function GSC. 123(12). 103–106. 11 indexed citations
6.
Burshtein, David, et al.. (2001). Delayless frequency domain acoustic echo cancellation. IEEE Transactions on Speech and Audio Processing. 9(5). 589–597. 24 indexed citations
7.
Gannot, Sharon, David Burshtein, & E. Weinstein. (1998). Iterative and sequential Kalman filter-based speech enhancement algorithms. IEEE Transactions on Speech and Audio Processing. 6(4). 373–385. 184 indexed citations
8.
Shalvi, Ofir & E. Weinstein. (1996). System identification using nonstationary signals. IEEE Transactions on Signal Processing. 44(8). 2055–2063. 53 indexed citations
9.
Oppenheim, Alan V., et al.. (1994). Single-sensor active noise cancellation. IEEE Transactions on Speech and Audio Processing. 2(2). 285–290. 48 indexed citations
10.
Yellin, Daniel M. & E. Weinstein. (1994). Criteria for multichannel signal separation. IEEE Transactions on Signal Processing. 42(8). 2158–2168. 129 indexed citations
11.
Shalvi, Ofir & E. Weinstein. (1992). Authors' Reply to Comments on 'New criteria for blind deconvolution of nonminimum phase systems (channels)'.. IEEE Transactions on Information Theory. 38. 212. 1 indexed citations
12.
Burshtein, David & E. Weinstein. (1991). On the application of the Wald statistic to order estimation of ARMA models. IEEE Transactions on Automatic Control. 36(9). 1091–1096. 6 indexed citations
13.
Segal, M., E. Weinstein, & Bruce R. Musicus. (1991). Estimate-maximize algorithms for multichannel time delay and signal estimation. IEEE Transactions on Signal Processing. 39(1). 1–16. 20 indexed citations
14.
Feder, Meir, Alan V. Oppenheim, & E. Weinstein. (1989). Maximum likelihood noise cancellation using the EM algorithm. IEEE Transactions on Acoustics Speech and Signal Processing. 37(2). 204–216. 54 indexed citations
15.
Weiss, A.J. & E. Weinstein. (1985). A lower bound on the mean-square error in random parameter estimation (Corresp.). IEEE Transactions on Information Theory. 31(5). 680–682. 98 indexed citations
16.
Weinstein, E. & A.J. Weiss. (1984). Fundamental limitations in passive time-delay estimation--Part II: Wide-band systems. IEEE Transactions on Acoustics Speech and Signal Processing. 32(5). 1064–1078. 186 indexed citations
17.
Levanon, Nadav & E. Weinstein. (1983). Angle-Independent Doppler Velocity Measurement. IEEE Transactions on Aerospace and Electronic Systems. AES-19(3). 354–359. 9 indexed citations
18.
Weinstein, E.. (1981). Decentralization of the Gaussian maximum likelihood estimator and its applications to passive array processing. IEEE Transactions on Acoustics Speech and Signal Processing. 29(5). 945–951. 28 indexed citations
19.
Weinstein, E. & Nadav Levanon. (1980). Passive Array Tracking of a Continuous Wave Transmitting Projectile. IEEE Transactions on Aerospace and Electronic Systems. AES-16(5). 721–726. 17 indexed citations
20.
Weinstein, E.. (1978). Estimation of trajectory parameters from passive array measurements. PhDT. 7 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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