Laxmi Shaw

552 total citations
22 papers, 383 citations indexed

About

Laxmi Shaw is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, Laxmi Shaw has authored 22 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Signal Processing. Recurrent topics in Laxmi Shaw's work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (6 papers). Laxmi Shaw is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (6 papers). Laxmi Shaw collaborates with scholars based in India, Canada and South Korea. Laxmi Shaw's co-authors include Aurobinda Routray, Bipan Tudu, Arun Jana, Rajib Bandyopadhyay, Runu Banerjee Roy, Nabarun Bhattacharyya, I. Dinstein, Ambarish G. Mohapatra, Narayan Nayak and Hardik Gohel and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

Laxmi Shaw

18 papers receiving 333 citations

Peers

Countries citing papers authored by Laxmi Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Laxmi Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laxmi Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Laxmi Shaw. A scholar is included among the top collaborators of Laxmi Shaw 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 Laxmi Shaw. Laxmi Shaw 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	Role of artificial intelligence in health monitoring using IoT based wearable sensors: A survey 2025 ·Internet of Things ·Laxmi Shaw, Hardik Gohel	0
2	Brain State Classification With Group l ₁ – norm Sparse PDC as Novel Features for EEG 2021 ·IEEE Sensors Journal ·Laxmi Shaw, Aurobinda Routray	9
3	An Experimental Design and Data Collection of EEG during Kriya Yoga-An Ancient Indic Meditation Technique 2020 ·Laxmi Shaw, Aurobinda Routray	1
4	Topographical assessment of neurocortical connectivity by using directed transfer function and partial directed coherence during meditation 2018 ·Cognitive Processing ·Laxmi Shaw, Aurobinda Routray	8
5	Highly Efficient Compression Algorithms for Multichannel EEG 2018 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Laxmi Shaw, (unknown), Aurobinda Routray	22
6	A New Framework to Infer Intra- and Inter-Brain Sparse Connectivity Estimation for EEG Source Information Flow 2018 ·IEEE Sensors Journal ·Laxmi Shaw, Aurobinda Routray	6
7	Study of Kalman filter based Noise Estimation in Artifactual EEG and their Quantification 2017 ·Laxmi Shaw, (unknown), Aurobinda Routray	0
8	Topographical pattern analysis using wavelet based coherence connectivity estimation in the distinction of meditation and non-meditation EEG 2017 ·Laxmi Shaw, Aurobinda Routray	3
9	Topographical Sub-bands Analysis of EEG during Short Kriya Yoga Meditation 2017 ·Laxmi Shaw, Aurobinda Routray	3
10	A robust motifs based artifacts removal technique from EEG 2017 ·Biomedical Physics & Engineering Express ·Laxmi Shaw, Aurobinda Routray, (unknown)	7
11	A critical comparison between SVM and k-SVM in the classification of Kriya Yoga meditation state-allied EEG 2016 ·Laxmi Shaw, Aurobinda Routray	15
12	Inferring functional brain connectivity estimation of continuous and missing sample in meditation state-allied scalp EEG 2016 ·Laxmi Shaw, Aurobinda Routray, (unknown)	2
13	Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA 2016 ·Laxmi Shaw, Aurobinda Routray	26
14	Kernel Approach on Detection of Ethanol Concentration Using ZnO Gas Sensor 2012 ·International Journal of Machine Learning and Computing ·Laxmi Shaw, (unknown), Ambarish G. Mohapatra, Narayan Nayak	0
15	Instrumental testing of tea by combining the responses of electronic nose and tongue 2012 ·Journal of Food Engineering ·Runu Banerjee Roy, Bipan Tudu, Laxmi Shaw, Arun Jana, Nabarun Bhattacharyya, Rajib Bandyopadhyay	109
16	A Real Time Analysis of PPG Signal for Measurement of SpO2 and Pulse Rate 2011 ·(unknown), Laxmi Shaw	100
17	A prototype filter design approach to pyramid generation 1993 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), I. Dinstein, Laxmi Shaw	7
18	Spectral estimates from nonuniform samples 1971 ·IEEE Transactions on Audio and Electroacoustics ·Laxmi Shaw	6
19	Statistical models for the vertical deflection from Gravity-Anomaly Models 1969 ·Journal of Geophysical Research Atmospheres ·Laxmi Shaw, (unknown), (unknown)	48
20	Dual-mode filtering of polynomial signals in noise 1963 ·IEEE Transactions on Automatic Control ·Laxmi Shaw	1

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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