Ofer Schwartz

496 total citations
23 papers, 364 citations indexed

About

Ofer Schwartz is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Ofer Schwartz has authored 23 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 21 papers in Computational Mechanics and 4 papers in Cognitive Neuroscience. Recurrent topics in Ofer Schwartz's work include Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (21 papers) and Blind Source Separation Techniques (9 papers). Ofer Schwartz is often cited by papers focused on Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (21 papers) and Blind Source Separation Techniques (9 papers). Ofer Schwartz collaborates with scholars based in Israel, Germany and Denmark. Ofer Schwartz's co-authors include Sharon Gannot, Emanuël A. P. Habets, Yuval Dorfan, Sebastian Braun, Jesper Jensen, Oliver Thiergart, Simon Doclo, Maja Taseska and Axel Plinge and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, EURASIP Journal on Audio Speech and Music Processing and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Ofer Schwartz

22 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ofer Schwartz Israel 12 352 253 102 69 59 23 364
Elior Hadad Israel 9 418 1.2× 314 1.2× 145 1.4× 50 0.7× 88 1.5× 21 432
Maja Taseska Germany 13 427 1.2× 252 1.0× 117 1.1× 66 1.0× 66 1.1× 34 451
Daniel Marquardt Germany 12 380 1.1× 272 1.1× 252 2.5× 19 0.3× 94 1.6× 30 406
Heinrich W. Löllmann Germany 9 265 0.8× 152 0.6× 68 0.7× 37 0.5× 33 0.6× 26 284
Buye Xu United States 10 346 1.0× 148 0.6× 108 1.1× 32 0.5× 53 0.9× 49 414
Mohamed Djendi Algeria 13 469 1.3× 438 1.7× 34 0.3× 29 0.4× 40 0.7× 69 522
Klaus Uwe Simmer Germany 10 516 1.5× 429 1.7× 77 0.8× 32 0.5× 197 3.3× 15 546
Pasi Pertilä Finland 12 292 0.8× 115 0.5× 48 0.5× 136 2.0× 28 0.5× 33 347
Oliver Thiergart Germany 13 482 1.4× 275 1.1× 219 2.1× 44 0.6× 107 1.8× 48 504
Edwin Mabande Germany 10 397 1.1× 232 0.9× 88 0.9× 73 1.1× 108 1.8× 22 423

Countries citing papers authored by Ofer Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Ofer Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ofer Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Ofer Schwartz. A scholar is included among the top collaborators of Ofer Schwartz 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 Ofer Schwartz. Ofer Schwartz 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.
Schwartz, Ofer, et al.. (2024). Multi-microphone simultaneous speakers detection and localization of multi-sources for separation and noise reduction. EURASIP Journal on Audio Speech and Music Processing. 2024(1).
3.
Schwartz, Ofer, et al.. (2022). Low Resources Online Single-Microphone Speech Enhancement with Harmonic Emphasis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 495. 8807–8811. 1 indexed citations
4.
Schwartz, Ofer & Sharon Gannot. (2021). A recursive expectation-maximization algorithm for speaker tracking and separation. EURASIP Journal on Audio Speech and Music Processing. 2021(1). 1 indexed citations
5.
Dorfan, Yuval, Ofer Schwartz, & Sharon Gannot. (2020). Joint speaker localization and array calibration using expectation-maximization. EURASIP Journal on Audio Speech and Music Processing. 2020(1). 5 indexed citations
7.
Braun, Sebastian, Ofer Schwartz, Oliver Thiergart, et al.. (2018). Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(6). 1056–1071. 53 indexed citations
8.
Schwartz, Ofer & Sharon Gannot. (2018). A Recursive Expectation-Maximization Algorithm for Online Multi-Microphone Noise Reduction. 3 indexed citations
11.
Schwartz, Ofer, Yuval Dorfan, Maja Taseska, Emanuël A. P. Habets, & Sharon Gannot. (2017). DOA estimation in noisy environment with unknown noise power using the EM algorithm. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 86–90. 17 indexed citations
12.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2017). Cramér–Rao Bound Analysis of Reverberation Level Estimators for Dereverberation and Noise Reduction. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(8). 1680–1693. 3 indexed citations
13.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2017). Multispeaker LCMV Beamformer and Postfilter for Source Separation and Noise Reduction. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(5). 940–951. 25 indexed citations
14.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2016). An Expectation-Maximization Algorithm for Multimicrophone Speech Dereverberation and Noise Reduction With Coherence Matrix Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(9). 1495–1510. 31 indexed citations
15.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2016). Joint maximum likelihood estimation of late reverberant and speech power spectral density in noisy environments. 151–155. 18 indexed citations
16.
Schwartz, Ofer, Yuval Dorfan, Emanuël A. P. Habets, & Sharon Gannot. (2016). Multi-speaker DOA estimation in reverberation conditions using expectation-maximization. 19. 1–5. 19 indexed citations
17.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2016). Joint estimation of late reverberant and speech power spectral densities in noisy environments using frobenius norm. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1123–1127. 23 indexed citations
18.
Schwartz, Ofer, Sebastian Braun, Sharon Gannot, & Emanuël A. P. Habets. (2015). Maximum likelihood estimation of the late reverberant power spectral density in noisy environments. 1–5. 13 indexed citations
19.
Schwartz, Ofer, Sharon Gannot, & Emanuël A. P. Habets. (2015). Nested generalized sidelobe canceller for joint dereverberation and noise reduction. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 13 indexed citations
20.
Schwartz, Ofer & Sharon Gannot. (2014). Speaker Tracking Using Recursive EM Algorithms. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(2). 392–402. 52 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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