Shiu Kumar
Impact in
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- EEG and Brain-Computer Interfaces 12
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- IoT-based Smart Home Systems 3
- Indoor and Outdoor Localization Technologies 3
- Co-authors
- Alok Sharma (14 shared papers)Tatsuhiko Tsunoda (9 shared papers)K. A. Mamun (4 shared papers)Seong Ro Lee (5 shared papers)Ronesh Sharma (6 shared papers)Seong Lee (1 shared paper)Thirumananseri Kumarevel (2 shared papers)Edwin Vans (1 shared paper)
In The Last Decade
Shiu Kumar
26 papers receiving 667 citations
Peers
Comparison fields: 5 of 76
- Human-Computer Interaction 136
- Cognitive Neuroscience 462
- Signal Processing 164
- Cellular and Molecular Neuroscience 211
- Electrical and Electronic Engineering 233
Countries citing papers authored by Shiu Kumar
This map shows the geographic impact of Shiu Kumar'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 Shiu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiu Kumar more than expected).
Fields of papers citing papers by Shiu Kumar
This network shows the impact of papers produced by Shiu Kumar. 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 Shiu Kumar. The network helps show where Shiu Kumar may publish in the future.
Co-authors
The 21 scholars most cited alongside Shiu Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2019 | 97 | |
| 3 | 2016 | 97 | |
| 4 | 2017 | 65 | |
| 5 | 2014 | 62 | |
| 6 | 2018 | 51 | |
| 7 | 2021 | 32 | |
| 8 | 2016 | 27 | |
| 9 | 2016 | 27 | |
| 10 | 2021 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2014 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 6 | |
| 18 | 2015 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2013 | 3 |
About Shiu Kumar
Shiu Kumar is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 691 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (5 papers), Gaze Tracking and Assistive Technology (4 papers), Neuroscience and Neural Engineering (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Machine Learning in Bioinformatics (3 papers), IoT-based Smart Home Systems (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (136 citations), Cognitive Neuroscience (462 citations), Signal Processing (164 citations), Cellular and Molecular Neuroscience (211 citations) and Electrical and Electronic Engineering (233 citations). Shiu Kumar has collaborated with scholars based in Fiji, Japan and Australia. Frequent co-authors include Alok Sharma, Tatsuhiko Tsunoda, K. A. Mamun, Seong Ro Lee, Ronesh Sharma, Seong Lee, Thirumananseri Kumarevel, Edwin Vans, Ashwini Patil and Swakkhar Shatabda. Their work appears in journals such as BMC Bioinformatics, Computers in Biology and Medicine, Scientific Reports, PeerJ Computer Science and Analytical Biochemistry.
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.