Rahul Kumar Chaurasiya
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Bibhudendra AcharyaNarendra D. LondheSubhojit GhoshPraveen K. ShuklaShrish VermaSudipta GhoshK.R. RamakrishnanK. Abhimanyu Kumar Patro
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Neuroscience and Neural Engineering (12 papers)Cryptographic Implementations and Security (10 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Rahul Kumar Chaurasiya
46 papers receiving 303 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 125
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 92
- Cellular and Molecular Neuroscience 62
- Electrical and Electronic Engineering 51
Countries citing papers authored by Rahul Kumar Chaurasiya
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 10 |
About Rahul Kumar Chaurasiya
Rahul Kumar Chaurasiya is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 52 papers that have together received 309 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Neuroscience and Neural Engineering (12 papers) and Cryptographic Implementations and Security (10 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Cognitive Neuroscience (125 citations) and Computer Vision and Pattern Recognition (106 citations). Rahul Kumar Chaurasiya has collaborated with scholars based in India and United States. Frequent 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. Their work appears in journals such as IEEE Access, Electronics Letters and IEEE Sensors Journal.
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.