Hanna Becker

471 total citations
9 papers, 298 citations indexed

About

Hanna Becker is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Hanna Becker has authored 9 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 5 papers in Computational Mechanics and 3 papers in Cognitive Neuroscience. Recurrent topics in Hanna Becker's work include Blind Source Separation Techniques (5 papers), Speech and Audio Processing (4 papers) and Advanced Adaptive Filtering Techniques (4 papers). Hanna Becker is often cited by papers focused on Blind Source Separation Techniques (5 papers), Speech and Audio Processing (4 papers) and Advanced Adaptive Filtering Techniques (4 papers). Hanna Becker collaborates with scholars based in France, Germany and Mali. Hanna Becker's co-authors include Laurent Albera, Isabelle Merlet, Fabrice Wendling, Pierre Comon, Martin Haardt, Julien Fleureau, Philippe Guillotel, Rémi Gribonval, Florian Roemer and Gwénaël Birot and has published in prestigious journals such as NeuroImage, IEEE Signal Processing Magazine and Signal Processing.

In The Last Decade

Hanna Becker

9 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanna Becker France	8	154	115	73	70	50	9	298
Sepideh Hajipour Sardouie Iran	10	261 1.7×	114 1.0×	24 0.3×	9 0.1×	7 0.1×	42	344
H. Ertan Çetingül United States	9	24 0.2×	137 1.2×	13 0.2×	19 0.3×	18 0.4×	21	306
Mayrim Vega‐Hernández Cuba	7	284 1.8×	72 0.6×	27 0.4×	5 0.1×	36 0.7×	8	380
Matthew Anderson United States	9	148 1.0×	228 2.0×	6 0.1×	12 0.2×	65 1.3×	11	343
Yoshikazu Washizawa Japan	9	151 1.0×	119 1.0×	3 0.0×	21 0.3×	37 0.7×	38	302
Toni Auranen Finland	8	207 1.3×	78 0.7×	41 0.6×	2 0.0×	34 0.7×	11	300
Taku Yoshioka Japan	7	472 3.1×	77 0.7×	18 0.2×	2 0.0×	37 0.7×	16	604
Bhaskar Sen United States	12	242 1.6×	10 0.1×	45 0.6×	14 0.2×	9 0.2×	18	356
Seyedmahdad Mirsamadi United States	8	55 0.4×	422 3.7×	385 5.3×	5 0.1×	26 0.5×	11	616
Kailing Guo China	9	41 0.3×	21 0.2×	43 0.6×	8 0.1×	34 0.7×	36	398

Countries citing papers authored by Hanna Becker

Since Specialization

Citations

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

Fields of papers citing papers by Hanna Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Hanna Becker. A scholar is included among the top collaborators of Hanna Becker 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 Hanna Becker. Hanna Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Becker, Hanna, Julien Fleureau, Philippe Guillotel, et al.. (2017). Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources. IEEE Transactions on Affective Computing. 11(2). 244–257. 91 indexed citations

2.

Becker, Hanna, et al.. (2016). Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study. IRBM. 37(5-6). 242–253. 3 indexed citations

3.

Becker, Hanna, Laurent Albera, Pierre Comon, Amar Kachenoura, & Isabelle Merlet. (2015). A Penalized Semialgebraic Deflation ICA Algorithm for the Efficient Extraction of Interictal Epileptic Signals. IEEE Journal of Biomedical and Health Informatics. 21(1). 94–104. 12 indexed citations

4.

Becker, Hanna, Laurent Albera, Pierre Comon, et al.. (2015). Brain-Source Imaging: From sparse to tensor models. IEEE Signal Processing Magazine. 32(6). 100–112. 56 indexed citations

5.

Becker, Hanna, Laurent Albera, Pierre Comon, et al.. (2014). EEG extended source localization: Tensor-based vs. conventional methods. NeuroImage. 96. 143–157. 59 indexed citations

6.

Niknazar, Mohammad, Hanna Becker, Bertrand Rivet, Christian Jutten, & Pierre Comon. (2014). Blind source separation of underdetermined mixtures of event-related sources. Signal Processing. 101. 52–64. 21 indexed citations

7.

Becker, Hanna, Pierre Comon, Laurent Albera, Martin Haardt, & Isabelle Merlet. (2011). Multi-way space–time–wave-vector analysis for EEG source separation. Signal Processing. 92(4). 1021–1031. 26 indexed citations

8.

Roemer, Florian, Hanna Becker, & Martin Haardt. (2010). Analytical performance assessment for multi-dimensional Tensor-ESPRIT-type parameter estimation algorithms. 2598–2601. 11 indexed citations

9.

Roemer, Florian, Hanna Becker, Martin Haardt, & Martin Weis. (2009). Analytical performance evaluation for HOSVD-based parameter estimation schemes. 77–80. 19 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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