Deepa Madathil

405 citations
22 papers · 236 · h-index 10

Impact in

Papers in

Deepa Madathil

21 papers receiving 228 citations

Peers

Deepa Madathil
Comparison fields: 5 of 82
  • Cognitive Neuroscience 109
  • Experimental and Cognitive Psychology 27
  • Water Science and Technology 21
  • Psychiatry and Mental health 19
  • Rehabilitation 8
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Danni Chen China
Fatemeh Hasanzadeh Iran
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Joshua Hyde United States
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Citations per year

Countries citing papers authored by Deepa Madathil

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Madathil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Deepa Madathil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepa Madathil Line = papers co-authored together Deepa Madathil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanotechnology in waste water treatment: a review.
201332
2 202332
3 202128
4 202324
5 202220
6 202115
7 202115
8 202414
9 202312
10
A review on recent advances in biosensors for detection of water contamination
20129
11 20238
12 20238
13 20214
14 20204
15 20184
16
PREVENTION AND INHIBITION OF ENVIRONMENTAL BIOFILMS: FUTURE PERSPECTIVES
20131
17 20241
18 20241
19 20161
20 20221

About Deepa Madathil

Deepa Madathil is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 236 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neural and Behavioral Psychology Studies (3 papers), Image and Signal Denoising Methods (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Image Processing Techniques (2 papers), Neural dynamics and brain function (2 papers), Advanced Image Fusion Techniques (1 paper) and Marine Biology and Environmental Chemistry (1 paper). The work is most often cited by research in Cognitive Neuroscience (109 citations), Experimental and Cognitive Psychology (27 citations), Water Science and Technology (21 citations), Psychiatry and Mental health (19 citations) and Rehabilitation (8 citations). Deepa Madathil has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Chih‐Mao Huang, Kishor Lakshminarayanan, Yifei Yao, Ovid J. L. Tzeng, Shun‐Chi Wu, Chemin Lin, Shwu‐Hua Lee, Feng‐Ying Huang, Yang‐Teng Fan and Amrita Kumari. Their work appears in journals such as Scientific Reports, Motor Control, PeerJ Computer Science, Human Brain Mapping and Psychiatry Research Neuroimaging.

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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