Debadatta Dash

412 total citations
25 papers, 254 citations indexed

About

Debadatta Dash is a scholar working on Cognitive Neuroscience, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Debadatta Dash has authored 25 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 4 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Debadatta Dash's work include EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (11 papers) and Neural dynamics and brain function (9 papers). Debadatta Dash is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (11 papers) and Neural dynamics and brain function (9 papers). Debadatta Dash collaborates with scholars based in United States, India and Germany. Debadatta Dash's co-authors include Paul Ferrari, Jun Wang, Jun Wang, Saleem Malik, Jun Wang, Jun Wang, Daragh Heitzman, Joseph A. Maldjian, Jun Wang and Elizabeth M. Davenport and has published in prestigious journals such as Neurology, Current Biology and IEEE Access.

In The Last Decade

Debadatta Dash

23 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debadatta Dash United States 10 200 65 44 31 31 25 254
Benjamin Wittevrongel Belgium 12 336 1.7× 51 0.8× 60 1.4× 116 3.7× 22 0.7× 26 395
Adriana de Pesters United States 6 307 1.5× 56 0.9× 57 1.3× 93 3.0× 3 0.1× 9 342
Griffin Milsap United States 10 280 1.4× 32 0.5× 55 1.3× 86 2.8× 3 0.1× 23 326
Federico Chella Italy 11 394 2.0× 43 0.7× 14 0.3× 39 1.3× 23 0.7× 18 443
Elizabeth Bock Canada 7 384 1.9× 21 0.3× 14 0.3× 44 1.4× 11 0.4× 11 447
Aya Kabbara France 12 346 1.7× 13 0.2× 17 0.4× 33 1.1× 10 0.3× 22 381
Maria Carla Piastra Netherlands 10 222 1.1× 18 0.3× 30 0.7× 69 2.2× 21 0.7× 18 333
Stéphanie Martin United States 6 213 1.1× 28 0.4× 21 0.5× 38 1.2× 2 0.1× 11 245
Britta U. Westner Netherlands 8 138 0.7× 16 0.2× 6 0.1× 19 0.6× 30 1.0× 11 229

Countries citing papers authored by Debadatta Dash

Since Specialization
Citations

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

Fields of papers citing papers by Debadatta Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debadatta Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Debadatta Dash. A scholar is included among the top collaborators of Debadatta Dash 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 Debadatta Dash. Debadatta Dash 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.
2.
Dash, Debadatta, Paul Ferrari, & Jun Wang. (2024). Neural Decoding of Spontaneous Overt and Intended Speech. Journal of Speech Language and Hearing Research. 67(11). 4216–4225. 2 indexed citations
3.
Dash, Debadatta, et al.. (2024). Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study. Frontiers in Psychology. 15. 1114811–1114811. 2 indexed citations
4.
Buch, Ethan R., Gina Norato, Debadatta Dash, et al.. (2024). Procedural Motor Memory Deficits in Patients With Long-COVID. Neurology. 102(3). e208073–e208073. 5 indexed citations
5.
Harwath, David, et al.. (2024). Direct Speech Synthesis from Non-Invasive, Neuromagnetic Signals. 412–416. 1 indexed citations
6.
Dash, Debadatta, et al.. (2023). Combined low-frequency brain oscillatory activity and behavior predict future errors in human motor skill. Current Biology. 33(15). 3145–3154.e5. 2 indexed citations
7.
Dash, Debadatta, Paul Ferrari, Abbas Babajani‐Feremi, et al.. (2023). Subject Generalization in Classifying Imagined and Spoken Speech with MEG. 1–4. 2 indexed citations
8.
Dash, Debadatta, et al.. (2020). MEG Sensor Selection for Neural Speech Decoding. IEEE Access. 8. 182320–182337. 24 indexed citations
9.
Dash, Debadatta, Paul Ferrari, & Jun Wang. (2020). Decoding Speech Evoked Jaw Motion from Non-invasive Neuromagnetic Oscillations. 1–8. 5 indexed citations
10.
Dash, Debadatta, Paul Ferrari, & Jun Wang. (2020). Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals. Frontiers in Neuroscience. 14. 290–290. 72 indexed citations
11.
Dash, Debadatta, et al.. (2020). NeuroVAD: Real-Time Voice Activity Detection from Non-Invasive Neuromagnetic Signals. Sensors. 20(8). 2248–2248. 18 indexed citations
12.
Dash, Debadatta, et al.. (2020). Neural Speech Decoding for Amyotrophic Lateral Sclerosis. 11 indexed citations
13.
Dash, Debadatta, Paul Ferrari, Saleem Malik, & Jun Wang. (2019). Automatic Speech Activity Recognition from MEG Signals Using Seq2Seq Learning. 340–343. 8 indexed citations
14.
Dash, Debadatta, et al.. (2019). Towards a Speaker Independent Speech-BCI Using Speaker Adaptation. 864–868. 14 indexed citations
15.
Dash, Debadatta, Paul Ferrari, & Jun Wang. (2019). Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG Signals. 1203–1207. 10 indexed citations
16.
Dash, Debadatta, Paul Ferrari, Daragh Heitzman, & Jun Wang. (2019). Decoding Speech from Single Trial MEG Signals Using Convolutional Neural Networks and Transfer Learning. PubMed. 113. 5531–5535. 15 indexed citations
17.
Dash, Debadatta, Paul Ferrari, Saleem Malik, et al.. (2018). Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. Lecture notes in computer science. 11309. 163–172. 11 indexed citations
18.
Dash, Debadatta, Paul Ferrari, Saleem Malik, & Jun Wang. (2018). OVERT SPEECH RETRIEVAL FROM NEUROMAGNETIC SIGNALS USING WAVELETS AND ARTIFICIAL NEURAL NETWORKS. 18 indexed citations
19.
Dash, Debadatta, Vinayak Abrol, Anil Kumar Sao, & Bharat B. Biswal. (2018). The model order limit: Deep sparse factorization for resting brain. 1244–1247. 5 indexed citations
20.

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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