Ronen Talmon

2.7k citations
106 papers · 1.6k indexed · h-index 24

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

    • Speech and Audio Processing 41
    • Music and Audio Processing 24
    • Blind Source Separation Techniques 22
    • Time Series Analysis and Forecasting 7
    • Neural Networks and Applications 23

Ronen Talmon

98 papers receiving 1.6k citations

Peers

Ronen Talmon
Comparison fields: 5 of 114
  • Signal Processing 764
  • Cognitive Neuroscience 390
  • Computational Mathematics 10
  • Computational Mechanics 321
  • Artificial Intelligence 412
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Chunqi Chang China
Ami Wiesel Israel
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Citations per field
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Citations per year

Countries citing papers authored by Ronen Talmon

Since Specialization
Citations

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

Fields of papers citing papers by Ronen Talmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ronen Talmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronen Talmon Line = papers co-authored together Ronen Talmon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20252
4 20246
5 20240
6 20233
7 20230
8 20223
9 20222
10 20214
11 202113
12
Hyperbolic Procrustes Analysis Using Riemannian Geometry
20213
13 20208
14 201817
15 201823
16
An Equal Space for Complex Data with Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning
20171
17 20171
18 201651
19
Relative transfer function identification on manifolds for supervised GSC beamformers
20137
20
Speaker identification using diffusion maps
20117

About Ronen Talmon

Ronen Talmon is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (41 papers), Music and Audio Processing (24 papers), Neural Networks and Applications (23 papers), Blind Source Separation Techniques (22 papers), Advanced Adaptive Filtering Techniques (20 papers), Neural dynamics and brain function (11 papers), Model Reduction and Neural Networks (10 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Signal Processing (764 citations), Cognitive Neuroscience (390 citations), Computational Mathematics (10 citations), Computational Mechanics (321 citations) and Artificial Intelligence (412 citations). Ronen Talmon has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Sharon Gannot, Israel Cohen, Ronald R. Coifman, Hau‐Tieng Wu, Or Yair, Yu‐Lun Lo, David Dov, Roy R. Lederman, Ioannis G. Kevrekidis and Mirela Ben‐Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Signal Processing and Applied and Computational Harmonic Analysis.

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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