Shiu Kumar

969 total citations
27 papers, 691 citations indexed

About

Shiu Kumar is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Shiu Kumar has authored 27 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Shiu Kumar's work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (5 papers) and Gaze Tracking and Assistive Technology (4 papers). Shiu Kumar is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (5 papers) and Gaze Tracking and Assistive Technology (4 papers). Shiu Kumar collaborates with scholars based in Fiji, Japan and Australia. Shiu Kumar's co-authors include Alok Sharma, Tatsuhiko Tsunoda, K. A. Mamun, Seong Ro Lee, Ronesh Sharma, Seong Lee, Thirumananseri Kumarevel, Edwin Vans, Ashwini Patil and Mohammed Zafar Ali Khan and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Shiu Kumar

26 papers receiving 667 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shiu Kumar Fiji 14 462 233 211 164 136 27 691
Haider Raza United Kingdom 17 567 1.2× 171 0.7× 243 1.2× 129 0.8× 92 0.7× 48 921
Dong-Ok Won South Korea 12 487 1.1× 97 0.4× 190 0.9× 82 0.5× 114 0.8× 46 751
Ridha Djemal Tunisia 14 576 1.2× 90 0.4× 220 1.0× 150 0.9× 93 0.7× 47 728
Mohd Zuki Yusoff Malaysia 14 390 0.8× 127 0.5× 85 0.4× 149 0.9× 53 0.4× 87 667
Deon Garrett United States 7 453 1.0× 89 0.4× 125 0.6× 200 1.2× 52 0.4× 15 695
Kiran George United States 13 286 0.6× 167 0.7× 80 0.4× 87 0.5× 160 1.2× 126 765
Nicholas R. Waytowich United States 14 457 1.0× 194 0.8× 218 1.0× 122 0.7× 97 0.7× 44 710
Pramod Gaur India 13 729 1.6× 183 0.8× 295 1.4× 244 1.5× 155 1.1× 16 900
Ishtiaq Ahmad Australia 12 453 1.0× 359 1.5× 87 0.4× 185 1.1× 30 0.2× 56 907
Mingai Li China 18 533 1.2× 148 0.6× 233 1.1× 205 1.3× 107 0.8× 94 807

Countries citing papers authored by Shiu Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shiu Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Shiu Kumar. A scholar is included among the top collaborators of Shiu Kumar 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 Shiu Kumar. Shiu Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kumar, Shiu, et al.. (2024). SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification. Medical & Biological Engineering & Computing. 62(9). 2769–2783. 10 indexed citations
3.
Kumar, Shiu, et al.. (2022). Epileptic Seizure Detection Using Convolution Neural Networks. 1 indexed citations
4.
Kumar, Shiu, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, & Alok Sharma. (2021). Forecasting the spread of COVID-19 using LSTM network. BMC Bioinformatics. 22(S6). 316–316. 18 indexed citations
5.
Kumar, Shiu, Tatsuhiko Tsunoda, & Alok Sharma. (2021). SPECTRA: a tool for enhanced brain wave signal recognition. BMC Bioinformatics. 22(S6). 195–195. 6 indexed citations
6.
Muhammod, Rafsanjani, Khondaker A. Mamun, Dewan Md. Farid, et al.. (2021). CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data. Journal of Neuroscience Methods. 364. 109373–109373. 10 indexed citations
7.
Kumar, Shiu, Ronesh Sharma, & Alok Sharma. (2021). OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals. PeerJ Computer Science. 7. e375–e375. 32 indexed citations
8.
Sharma, Ronesh, Shiu Kumar, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, & Alok Sharma. (2020). Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles. Analytical Biochemistry. 612. 113954–113954. 13 indexed citations
9.
Kumar, Shiu, Alok Sharma, & Tatsuhiko Tsunoda. (2019). Brain wave classification using long short-term memory network based OPTICAL predictor. Scientific Reports. 9(1). 9153–9153. 97 indexed citations
10.
Kumar, Shiu & Alok Sharma. (2018). A new parameter tuning approach for enhanced motor imagery EEG signal classification. Medical & Biological Engineering & Computing. 56(10). 1861–1874. 51 indexed citations
11.
Kumar, Shiu, K. A. Mamun, & Alok Sharma. (2017). CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI. Computers in Biology and Medicine. 91. 231–242. 65 indexed citations
12.
Kumar, Shiu, Alok Sharma, & Tatsuhiko Tsunoda. (2017). An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information. BMC Bioinformatics. 18(S16). 545–545. 107 indexed citations
13.
Sharma, Ronesh, Shiu Kumar, Tatsuhiko Tsunoda, Ashwini Patil, & Alok Sharma. (2016). Predicting MoRFs in protein sequences using HMM profiles. BMC Bioinformatics. 17(S19). 504–504. 27 indexed citations
14.
Kumar, Shiu, Ronesh Sharma, & Edwin Vans. (2016). Localization for Wireless Sensor Networks: A Neural Network Approach. International journal of Computer Networks & Communications. 8(1). 61–71. 16 indexed citations
15.
Kumar, Shiu, Alok Sharma, K. A. Mamun, & Tatsuhiko Tsunoda. (2016). A Deep Learning Approach for Motor Imagery EEG Signal Classification. Griffith Research Online (Griffith University, Queensland, Australia). 34–39. 97 indexed citations
16.
Kumar, Shiu, Alok Sharma, K. A. Mamun, & Tatsuhiko Tsunoda. (2015). Application of cepstrum analysis and linear predictive coding for motor imaginary task classification. Griffith Research Online (Griffith University, Queensland, Australia). 3. 1–6. 2 indexed citations
17.
Kumar, Shiu & Seong Lee. (2014). Localization with RSSI Values for Wireless Sensor Networks: An Artificial Neural Network Approach. d007–d007. 16 indexed citations
18.
Kumar, Shiu & Seong Ro Lee. (2014). Android based smart home system with control via Bluetooth and internet connectivity. 1–2. 62 indexed citations
19.
Kumar, Shiu, et al.. (2013). Handicapped assisting robot. 3 indexed citations
20.
Kumar, Shiu & Mohammed Zafar Ali Khan. (2013). Robust, block based cyclostationary detection. 2. 1–5. 3 indexed citations

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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