Shiu Kumar
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
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- COVID-19 epidemiological studies
Papers in
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- EEG and Brain-Computer Interfaces 15
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- Arduino and IoT Applications 4
- Indoor and Outdoor Localization Technologies 3
- IoT-based Smart Home Systems 2
- Co-authors
- Alok K. Sharma (17 shared papers)Tatsuhiko Tsunoda (10 shared papers)Kabir 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
31 papers receiving 778 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 529
- Modeling and Simulation 13
- Electrical and Electronic Engineering 111
- Neurology 8
- Experimental and Cognitive Psychology 18
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 22 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2016 | 107 | |
| 3 | 2019 | 105 | |
| 4 | 2017 | 73 | |
| 5 | 2014 | 63 | |
| 6 | 2018 | 54 | |
| 7 | 2021 | 35 | |
| 8 | 2016 | 29 | |
| 9 | 2016 | 28 | |
| 10 | 2021 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2014 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2021 | 8 | |
| 20 | 2015 | 6 |
About Shiu Kumar
Shiu Kumar is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Computer Networks and Communications, Modeling and Simulation and Occupational Therapy, having authored 32 papers that have together received 797 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Arduino and IoT Applications (4 papers), Indoor and Outdoor Localization Technologies (3 papers), IoT-based Smart Home Systems (2 papers), Network Time Synchronization Technologies (2 papers), Cloud Computing and Resource Management (1 paper), Teleoperation and Haptic Systems (1 paper) and Control and Dynamics of Mobile Robots (1 paper). The work is most often cited by research in Cognitive Neuroscience (529 citations), Modeling and Simulation (13 citations), Electrical and Electronic Engineering (111 citations), Neurology (8 citations) and Experimental and Cognitive Psychology (18 citations). Shiu Kumar has collaborated with scholars based in Fiji, Japan and Australia. Frequent co-authors include Alok K. Sharma, Tatsuhiko Tsunoda, Kabir A. Mamun, Seong Ro Lee, Ronesh Sharma, Seong Lee, Thirumananseri Kumarevel, Edwin Vans, Ashwini Patil and Abdollah Dehzangi. Their work appears in journals such as BMC Bioinformatics, Analytical Biochemistry, PeerJ Computer Science, Scientific Reports and Computers in Biology and Medicine.
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.