Neetha Das

858 total citations
10 papers, 459 citations indexed

About

Neetha Das is a scholar working on Cognitive Neuroscience, Signal Processing and Speech and Hearing. According to data from OpenAlex, Neetha Das has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Signal Processing and 2 papers in Speech and Hearing. Recurrent topics in Neetha Das's work include Hearing Loss and Rehabilitation (8 papers), Speech and Audio Processing (6 papers) and Blind Source Separation Techniques (5 papers). Neetha Das is often cited by papers focused on Hearing Loss and Rehabilitation (8 papers), Speech and Audio Processing (6 papers) and Blind Source Separation Techniques (5 papers). Neetha Das collaborates with scholars based in Belgium and United States. Neetha Das's co-authors include Tom Francart, Alexander Bertrand, Amir H. Ansari, Hugo Van hamme, Eline Verschueren, Lien Decruy and Jonas Vanthornhout and has published in prestigious journals such as NeuroImage, The Journal of the Acoustical Society of America and eLife.

In The Last Decade

Neetha Das

10 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neetha Das Belgium	9	409	242	42	34	27	10	459
Siddharth Rajaram United States	3	614 1.5×	218 0.9×	133 3.2×	21 0.6×	23 0.9×	6	667
Manuela Jaeger Germany	10	340 0.8×	98 0.4×	77 1.8×	11 0.3×	9 0.3×	15	368
Ben Somers Belgium	7	277 0.7×	118 0.5×	22 0.5×	7 0.2×	19 0.7×	9	301
Sahar Akram United States	6	213 0.5×	112 0.5×	39 0.9×	14 0.4×	10 0.4×	12	240
Ryan M. Corey United States	6	127 0.3×	75 0.3×	36 0.9×	29 0.9×	30 1.1×	27	247
Hendrik Kayser Germany	8	306 0.7×	336 1.4×	26 0.6×	140 4.1×	15 0.6×	32	441
Jöerg Bitzer Germany	9	123 0.3×	230 1.0×	15 0.4×	157 4.6×	18 0.7×	47	349
Thomas Rohdenburg Germany	7	227 0.6×	279 1.2×	13 0.3×	141 4.1×	23 0.9×	10	329
Reinhard König Germany	9	202 0.5×	55 0.2×	39 0.9×	17 0.5×	18 0.7×	24	277
Sean U. N. Wood Canada	9	143 0.3×	118 0.5×	48 1.1×	38 1.1×	17 0.6×	19	263

Countries citing papers authored by Neetha Das

Since Specialization

Citations

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

Fields of papers citing papers by Neetha Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neetha Das

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

All Works

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10 of 10 papers shown

Das, Neetha, et al.. (2021). EEG-based detection of the locus of auditory attention with convolutional neural networks. eLife. 10. 85 indexed citations

Das, Neetha, et al.. (2020). Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding. Journal of Neural Engineering. 17(4). 46039–46039. 22 indexed citations

Das, Neetha, Jonas Vanthornhout, Tom Francart, & Alexander Bertrand. (2019). Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research. NeuroImage. 204. 116211–116211. 12 indexed citations

Das, Neetha, Alexander Bertrand, & Tom Francart. (2018). EEG-based auditory attention detection: boundary conditions for background noise and speaker positions. Journal of Neural Engineering. 15(6). 66017–66017. 70 indexed citations

Decruy, Lien, Neetha Das, Eline Verschueren, & Tom Francart. (2018). The Self-Assessed Békesy Procedure: Validation of a Method to Measure Intelligibility of Connected Discourse. Trends in Hearing. 22. 2759814414–2759814414. 10 indexed citations

Das, Neetha, et al.. (2017). Auditory attention detection: Application in neuro-steered hearing aids. The Journal of the Acoustical Society of America. 141(5_Supplement). 3893–3893. 1 indexed citations

Das, Neetha, et al.. (2017). EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters. Lirias (KU Leuven). 1660–1664. 17 indexed citations

Das, Neetha, et al.. (2016). The effect of head-related filtering and ear-specific decoding bias on auditory attention detection. Journal of Neural Engineering. 13(5). 56014–56014. 53 indexed citations

Das, Neetha, et al.. (2016). Adaptive attention-driven speech enhancement for EEG-informed hearing prostheses. PubMed. 2016. 77–80. 16 indexed citations

10.

Das, Neetha, et al.. (2016). Auditory-Inspired Speech Envelope Extraction Methods for Improved EEG-Based Auditory Attention Detection in a Cocktail Party Scenario. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(5). 402–412. 173 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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