Rahul Kumar Chaurasiya

535 total citations
52 papers, 309 citations indexed

About

Rahul Kumar Chaurasiya is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Rahul Kumar Chaurasiya has authored 52 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Cognitive Neuroscience and 16 papers in Artificial Intelligence. Recurrent topics in Rahul Kumar Chaurasiya's work include EEG and Brain-Computer Interfaces (17 papers), Neuroscience and Neural Engineering (12 papers) and Cryptographic Implementations and Security (10 papers). Rahul Kumar Chaurasiya is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Neuroscience and Neural Engineering (12 papers) and Cryptographic Implementations and Security (10 papers). Rahul Kumar Chaurasiya collaborates with scholars based in India and United States. Rahul Kumar Chaurasiya's co-authors include Bibhudendra Acharya, Narendra D. Londhe, Subhojit Ghosh, Praveen K. Shukla, Shrish Verma, Sudipta Ghosh, K.R. Ramakrishnan, K. Abhimanyu Kumar Patro, G. R. Sinha and Manisha Manisha and has published in prestigious journals such as IEEE Access, Electronics Letters and IEEE Sensors Journal.

In The Last Decade

Rahul Kumar Chaurasiya

46 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Kumar Chaurasiya India 11 125 106 92 62 51 52 309
Amrita Chaturvedi India 10 79 0.6× 42 0.4× 71 0.8× 28 0.5× 44 0.9× 28 267
Wenlong Hang China 10 157 1.3× 128 1.2× 130 1.4× 47 0.8× 47 0.9× 25 380
Barjinder Kaur India 9 201 1.6× 44 0.4× 85 0.9× 44 0.7× 37 0.7× 15 405
Francisco Barranco Spain 13 64 0.5× 244 2.3× 65 0.7× 35 0.6× 205 4.0× 29 443
Seul-Ki Yeom South Korea 7 196 1.6× 68 0.6× 85 0.9× 85 1.4× 57 1.1× 10 347
Dinesh Singh India 10 181 1.4× 36 0.3× 35 0.4× 41 0.7× 50 1.0× 20 343
Myung-Cheol Roh South Korea 10 130 1.0× 242 2.3× 69 0.8× 45 0.7× 31 0.6× 17 428
Urmila Shrawankar India 10 38 0.3× 68 0.6× 93 1.0× 17 0.3× 46 0.9× 92 331
Qingjun Wang China 8 75 0.6× 63 0.6× 51 0.6× 13 0.2× 21 0.4× 17 268
Abhishek Vaish India 9 123 1.0× 38 0.4× 74 0.8× 25 0.4× 14 0.3× 55 323

Countries citing papers authored by Rahul Kumar Chaurasiya

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kumar Chaurasiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul Kumar Chaurasiya. 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 Rahul Kumar Chaurasiya. The network helps show where Rahul Kumar Chaurasiya may publish in the future.

Co-authorship network of co-authors of Rahul Kumar Chaurasiya

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Kumar Chaurasiya. A scholar is included among the top collaborators of Rahul Kumar Chaurasiya 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 Rahul Kumar Chaurasiya. Rahul Kumar Chaurasiya 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.
Chaurasiya, Rahul Kumar, et al.. (2025). Contrastive learning for efficient anomaly detection in electricity load data. Sustainable Energy Grids and Networks. 42. 101639–101639. 3 indexed citations
2.
Chaurasiya, Rahul Kumar, et al.. (2025). Robust electric load forecasting through ensemble learning: A stacking approach with empirical mode decomposition and transfer learning. Computers & Electrical Engineering. 126. 110511–110511.
3.
Chaurasiya, Rahul Kumar, et al.. (2025). IoT-based Door Automation and Smart Health Monitoring System. 757–763.
4.
Chaurasiya, Rahul Kumar, et al.. (2024). Effect of prestrain on tensile behavior of HS800 steel sheet. Materials Today Communications. 38. 108047–108047. 1 indexed citations
5.
Chaurasiya, Rahul Kumar, et al.. (2023). Modelling and optimisation of high-speed KLEIN architectures on FPGA and ASIC platforms for IoT applications. International Journal of Ad Hoc and Ubiquitous Computing. 42(4). 207–207. 1 indexed citations
6.
Chaurasiya, Rahul Kumar, et al.. (2023). Heart failure prediction using machine learning. AIP conference proceedings. 2705. 20014–20014. 2 indexed citations
7.
Acharya, Bibhudendra, et al.. (2022). Low-area and high-speed hardware architectures of LBlock cipher for Internet of Things image encryption. Journal of Electronic Imaging. 31(3). 13 indexed citations
8.
Acharya, Bibhudendra, et al.. (2022). Automatic Prediction of Glycemic Index Category from Food Images Using Machine Learning Approaches. Arabian Journal for Science and Engineering. 47(8). 10823–10846. 5 indexed citations
9.
10.
Chaurasiya, Rahul Kumar, et al.. (2022). Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures. International Journal of Cognitive Informatics and Natural Intelligence. 15(4). 1–19. 9 indexed citations
11.
Chaurasiya, Rahul Kumar, et al.. (2021). Indian Vehicle Number-Plate Recognition using Single Shot Detection and OCR. 1–5. 9 indexed citations
12.
Acharya, Bibhudendra, et al.. (2019). Energy-Efficient and High-throughput Implementations of Lightweight Block Cipher. International Journal of Innovative Technology and Exploring Engineering. 9(2S). 35–41. 1 indexed citations
13.
Acharya, Bibhudendra, et al.. (2019). A comparative survey on lightweight block ciphers for resource constrained applications. 8(4). 250–250. 19 indexed citations
14.
Chaurasiya, Rahul Kumar, et al.. (2019). A comparative survey on lightweight block ciphers for resource constrained applications. 8(4). 250–250. 3 indexed citations
15.
Acharya, Bibhudendra, et al.. (2019). High Throughput Architecture for KLEIN Block Cipher in FPGA. 64–69. 12 indexed citations
16.
Shukla, Praveen K. & Rahul Kumar Chaurasiya. (2018). An Experimental Analysis of Motor Imagery EEG Signals Using Feature Extraction and Classification Methodologies. 796–799. 2 indexed citations
17.
Chaurasiya, Rahul Kumar, et al.. (2017). Automatic traffic sign detection and recognition using moment invariants and support vector machine. 289–295. 5 indexed citations
18.
Chaurasiya, Rahul Kumar, et al.. (2015). Epileptic seizure detection using HHT and SVM. 1–6. 7 indexed citations
19.
Chaurasiya, Rahul Kumar, et al.. (2014). High Dynamic Range Imaging for Dynamic Scenes. 828–832. 4 indexed citations
20.
Chaurasiya, Rahul Kumar & K.R. Ramakrishnan. (2013). High Dynamic Range Imaging. 83–89. 10 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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