Sadasivan Puthusserypady
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces 69
- Neural dynamics and brain function 10
- Signal Processing top 0.5%
- Blind Source Separation Techniques 25
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology 20
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- ECG Monitoring and Analysis 23
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- Neuroscience and Neural Engineering 20
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- Chaos control and synchronization 23
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- Neural Networks and Applications 16
- Co-authors
- U. Rajendra AcharyaN. KannathalHelle K. IversenAbdolrahman PeimankarRajesh C. PanickerYing SunC.M. LimN. Pradhan
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)
In The Last Decade
Sadasivan Puthusserypady
121 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 2.7k
- Signal Processing 863
- Human-Computer Interaction 325
- Cardiology and Cardiovascular Medicine 862
- Cellular and Molecular Neuroscience 666
Countries citing papers authored by Sadasivan Puthusserypady
This map shows the geographic impact of Sadasivan Puthusserypady'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 Sadasivan Puthusserypady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadasivan Puthusserypady more than expected).
Fields of papers citing papers by Sadasivan Puthusserypady
This network shows the impact of papers produced by Sadasivan Puthusserypady. 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 Sadasivan Puthusserypady. The network helps show where Sadasivan Puthusserypady may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sadasivan Puthusserypady, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 9 | |
| 10 | 2016 | 45 | |
| 11 | 2016 | 8 | |
| 12 | 2013 | 8 | |
| 13 | 2011 | 169 | |
| 14 | Progress in Robotics: FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009. Proceedings | 2009 | 2 |
| 15 | 2008 | 18 | |
| 16 | 2007 | 16 | |
| 17 | Secure Digital Communication using Chaotic Symbolic Dynamics | 2006 | 7 |
| 18 | 2006 | 4 | |
| 19 | 1995 | 6 | |
| 20 | 1994 | 6 |
About Sadasivan Puthusserypady
Sadasivan Puthusserypady is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Signal Processing, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (69 papers), Blind Source Separation Techniques (25 papers), ECG Monitoring and Analysis (23 papers), Chaos control and synchronization (23 papers), Neuroscience and Neural Engineering (20 papers), Gaze Tracking and Assistive Technology (20 papers), Neural Networks and Applications (16 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Signal Processing (863 citations) and Human-Computer Interaction (325 citations). Sadasivan Puthusserypady has collaborated with scholars based in Denmark, Singapore and India. Frequent co-authors include U. Rajendra Acharya, N. Kannathal, Helle K. Iversen, Abdolrahman Peimankar, Rajesh C. Panicker, Ying Sun, C.M. Lim, N. Pradhan, D. Narayana Dutt and Muhammad Ahmed Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.