Rig Das

1.1k total citations
21 papers, 731 citations indexed

About

Rig Das is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rig Das has authored 21 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Human-Computer Interaction and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rig Das's work include EEG and Brain-Computer Interfaces (11 papers), Gaze Tracking and Assistive Technology (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Rig Das is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Gaze Tracking and Assistive Technology (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Rig Das collaborates with scholars based in Denmark, Italy and India. Rig Das's co-authors include Emanuele Maiorana, Patrizio Campisi, Emanuela Piciucco, Sadasivan Puthusserypady, Muhammad Ahmed Khan, Helle K. Iversen, Themrichon Tuithung, Daria La Rocca, Iris Brunner and Gleb Gusev and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Sleep Medicine and IEEE Signal Processing Letters.

In The Last Decade

Rig Das

20 papers receiving 709 citations

Peers

Countries citing papers authored by Rig Das

Since Specialization

Citations

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

Fields of papers citing papers by Rig Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rig Das

This figure shows the co-authorship network connecting the top 25 collaborators of Rig Das. A scholar is included among the top collaborators of Rig 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 Rig Das. Rig 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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20 of 20 papers shown

#	Work	Indexed citations
1	Sleep macro-architecture in patients with Parkinson’s disease does not change during the first night of neurostimulation in a pilot study 2024 ·Journal of Clinical Sleep Medicine ·Rig Das, S. Gliske, (unknown), (unknown), Siqun Tang, (unknown), (unknown), Casey H. Halpern, John A. Thompson, Clete A. Kushida, Aviva Abosch	0
2	Evaluation of consensus sleep stage scoring of dysregulated sleep in Parkinson's disease 2023 ·Sleep Medicine ·(unknown), Michael Summers, Siqun Tang, (unknown), Casey H. Halpern, (unknown), Rig Das, S. Gliske, Aviva Abosch, Clete A. Kushida, John A. Thompson	4
3	Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation 2022 ·(unknown), Rig Das, Muhammad Ahmed Khan, Iris Brunner, Sadasivan Puthusserypady	10
4	Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface 2022 ·(unknown), Muhammad Ahmed Khan, Rig Das, John Paulin Hansen, Sadasivan Puthusserypady	4
5	Facial landmarks localization using cascaded neural networks 2021 ·Computer Vision and Image Understanding ·(unknown), Rig Das, Emanuele Maiorana, Yosi Keller, Patrizio Campisi	12
6	Electromyography and Inertial Motion Sensors Based Wearable Data Acquisition System for Stroke Patients: A Pilot Study 2021 ·2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Muhammad Ahmed Khan, (unknown), Rig Das, Sadasivan Puthusserypady	5
7	Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review 2021 ·Journal of Neural Engineering ·Muhammad Ahmed Khan, (unknown), Rig Das, Iris Brunner, Sadasivan Puthusserypady	18
8	Hybrid EEG-EOG-based BCI system for Vehicle Control 2021 ·(unknown), Rig Das, (unknown), Muhammad Ahmed Khan, Sadasivan Puthusserypady	8
9	Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application 2020 ·Computers in Biology and Medicine ·Muhammad Ahmed Khan, Rig Das, Helle K. Iversen, Sadasivan Puthusserypady	172
10	FBCSP and Adaptive Boosting for Multiclass Motor Imagery BCI Data Classification: A Machine Learning Approach 2020 ·Research at the University of Copenhagen (University of Copenhagen) ·Rig Das, (unknown), Muhammad Ahmed Khan, Helle K. Iversen, Sadasivan Puthusserypady	11
11	Deep Learning Advances on Different 3D Data Representations: A Survey. 2018 ·arXiv (Cornell University) ·(unknown), (unknown), Abd El Rahman Shabayek, (unknown), Rig Das, Gleb Gusev, Djamila Aouada, Björn Ottersten	39
12	Convolutional Neural Network for Finger-Vein-Based Biometric Identification 2018 ·IEEE Transactions on Information Forensics and Security ·Rig Das, Emanuela Piciucco, Emanuele Maiorana, Patrizio Campisi	225
13	Motor Imagery for Eeg Biometrics Using Convolutional Neural Network 2018 ·Iris (Roma Tre University) ·Rig Das, Emanuele Maiorana, Patrizio Campisi	30
14	Visually evoked potential for EEG biometrics using convolutional neural network 2017 ·Iris (Roma Tre University) ·Rig Das, Emanuele Maiorana, Patrizio Campisi	27
15	Cardiometabolic disease in South Asians: A global health concern in an expanding population 2016 ·Nutrition Metabolism and Cardiovascular Diseases ·Abhijit Das, Bharath Ambale‐Venkatesh, João A.C. Lima, Jacob Freedman, Aferdita Spahillari, Rig Das, Saumya Das, Ravi V. Shah, Venkatesh L. Murthy	12
16	EEG Biometrics Using Visual Stimuli: A Longitudinal Study 2016 ·IEEE Signal Processing Letters ·Rig Das, Emanuele Maiorana, Patrizio Campisi	67
17	EEG Biometrics for User Recognition Using Visually Evoked Potentials 2015 ·Iris (Roma Tre University) ·Rig Das, Emanuele Maiorana, Daria La Rocca, Patrizio Campisi	23
18	Hyperspectral Image Classification Based on Quadratic Fisher's Discriminant Analysis and Multi-class Support Vector Machine 2014 ·IETE Journal of Research ·Rig Das, Ratnakar Dash, Banshidhar Majhi	3
19	A review on “A Novel Technique for Image Steganography Based on Block-DCT and Huffman Encoding” 2013 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Rig Das, Themrichon Tuithung	1
20	A novel steganography method for image based on Huffman Encoding 2012 ·Rig Das, Themrichon Tuithung	54

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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