D. N. Tibarewala

1.1k total citations
65 papers, 745 citations indexed

About

D. N. Tibarewala is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, D. N. Tibarewala has authored 65 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 15 papers in Biomedical Engineering. Recurrent topics in D. N. Tibarewala's work include EEG and Brain-Computer Interfaces (43 papers), Tactile and Sensory Interactions (18 papers) and Neuroscience and Neural Engineering (15 papers). D. N. Tibarewala is often cited by papers focused on EEG and Brain-Computer Interfaces (43 papers), Tactile and Sensory Interactions (18 papers) and Neuroscience and Neural Engineering (15 papers). D. N. Tibarewala collaborates with scholars based in India, United Kingdom and Nepal. D. N. Tibarewala's co-authors include Amit Konar, Saugat Bhattacharyya, Anwesha Khasnobish, Anwesha Banerjee, R. Janarthanan, Shreyasi Datta, Atulya K. Nagar, Abhronil Sengupta, Deepanjan Bhattacharya and Rohit Bose and has published in prestigious journals such as Journal of Applied Physics, Gene and Materials Science and Engineering C.

In The Last Decade

D. N. Tibarewala

63 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. N. Tibarewala India 16 505 203 176 122 96 65 745
Ridha Djemal Tunisia 14 576 1.1× 93 0.5× 220 1.3× 66 0.5× 56 0.6× 47 728
Hongmiao Zhang China 8 375 0.7× 87 0.4× 155 0.9× 199 1.6× 46 0.5× 35 568
Shao-Wei Lu Taiwan 12 362 0.7× 116 0.6× 122 0.7× 146 1.2× 99 1.0× 30 617
Pramod Gaur India 13 729 1.4× 155 0.8× 295 1.7× 73 0.6× 38 0.4× 16 900
Vojkan Mihajlović Netherlands 16 621 1.2× 70 0.3× 255 1.4× 224 1.8× 52 0.5× 51 982
Ming Meng China 14 348 0.7× 65 0.3× 69 0.4× 106 0.9× 143 1.5× 56 541
Önder Aydemir Türkiye 15 372 0.7× 67 0.3× 158 0.9× 187 1.5× 25 0.3× 63 590
Muhammad Ahmad Kamran South Korea 16 465 0.9× 72 0.4× 84 0.5× 201 1.6× 75 0.8× 41 852
Pitshaporn Leelaarporn Germany 10 305 0.6× 73 0.4× 79 0.4× 99 0.8× 126 1.3× 14 534

Countries citing papers authored by D. N. Tibarewala

Since Specialization
Citations

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

Fields of papers citing papers by D. N. Tibarewala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. N. Tibarewala. 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 D. N. Tibarewala. The network helps show where D. N. Tibarewala may publish in the future.

Co-authorship network of co-authors of D. N. Tibarewala

This figure shows the co-authorship network connecting the top 25 collaborators of D. N. Tibarewala. A scholar is included among the top collaborators of D. N. Tibarewala 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 D. N. Tibarewala. D. N. Tibarewala 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.
Das, Arijit, et al.. (2020). A new graph-theoretic approach to determine the similarity of genome sequences based on nucleotide triplets. Genomics. 112(6). 4701–4714. 15 indexed citations
2.
Dey, Nilanjan, et al.. (2017). Optimal choice of k-mer in composition vector method for genome sequence comparison. Genomics. 110(5). 263–273. 20 indexed citations
3.
Bhattacharyya, Saugat, Amit Konar, & D. N. Tibarewala. (2017). Motor imagery and error related potential induced position control of a robotic arm. IEEE/CAA Journal of Automatica Sinica. 4(4). 639–650. 55 indexed citations
4.
Khasnobish, Anwesha, Shreyasi Datta, Rohit Bose, D. N. Tibarewala, & Amit Konar. (2017). Analyzing text recognition from tactually evoked EEG. Cognitive Neurodynamics. 11(6). 501–513. 13 indexed citations
5.
6.
Khasnobish, Anwesha, et al.. (2016). Vibrotactile feedback for conveying object shape information as perceived by artificial sensing of robotic arm. Cognitive Neurodynamics. 10(4). 327–338. 7 indexed citations
7.
Banerjee, Anwesha, et al.. (2015). ELECTROOCULOGRAPHY BASED READING SPEED ANALYSIS AS AN ASSISTIVE TOOL. Biomedical Engineering Applications Basis and Communications. 27(2). 1550016–1550016. 2 indexed citations
8.
Bhattacharyya, Saugat, et al.. (2014). Decoding of wrist and finger movement from electroencephalography signal. Ulster University Research Portal (Ulster University). 1. 1–6. 8 indexed citations
9.
Datta, Shreyasi, Anwesha Khasnobish, Amit Konar, D. N. Tibarewala, & Atulya K. Nagar. (2014). EEG based artificial learning of motor coordination for visually inspired task using neural networks. 4. 3371–3378. 4 indexed citations
10.
Bhattacharyya, Saugat, et al.. (2014). Embedded realisation of amplitude-phase adaptive filter for bio-potential signals. 4. 593–597. 1 indexed citations
11.
Bhattacharyya, Saugat, et al.. (2014). A bacterial foraging optimization and learning automata based feature selection for motor imagery EEG classification. Ulster University Research Portal (Ulster University). 1–5. 6 indexed citations
12.
Khasnobish, Anwesha, et al.. (2014). Correlation analysis of object shape recognition from EEG and tactile signals. 2. 1–6. 1 indexed citations
13.
Khasnobish, Anwesha, Garima Singh, Arindam Jati, Amit Konar, & D. N. Tibarewala. (2014). Object-shape recognition and 3D reconstruction from tactile sensor images. Medical & Biological Engineering & Computing. 52(4). 353–362. 10 indexed citations
14.
Khasnobish, Anwesha, et al.. (2014). Classification of deformable and non-deformable surfaces by tactile image analysis. 626–630. 2 indexed citations
15.
Bhattacharyya, Saugat, Amit Konar, & D. N. Tibarewala. (2014). Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose. Medical & Biological Engineering & Computing. 52(12). 1007–1017. 81 indexed citations
16.
Banerjee, Anwesha, et al.. (2013). Classifying Electrooculogram to Detect Directional Eye Movements. Procedia Technology. 10. 67–75. 34 indexed citations
17.
Bhattacharyya, Saugat, et al.. (2013). Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. Medical & Biological Engineering & Computing. 52(2). 131–139. 46 indexed citations
18.
Mukherjee, Sayan, et al.. (2012). Are Meditative states distinguishable from the pre-meditative ones? A new alternative study. IEEE-International Conference On Advances In Engineering, Science And Management. 456–461. 1 indexed citations
19.
Bhattacharyya, Saugat, Abhronil Sengupta, D. Banerjee, et al.. (2012). EEG controlled remote robotic system from motor imagery classification. 1–8. 15 indexed citations
20.
Goswami, Damodar Prasad, Dilip Kumar Bhattacharya, & D. N. Tibarewala. (2010). Analysis of Heart Rate Variability in Meditation Using Normalized Shannon Entropy. 14(1). 61–67. 6 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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