Rahul Upadhyay
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Pavan Kumar KankarPrabin Kumar PadhyHari SinghVinay KumarHari Shankar SinghShilpa SethiRajesh SinglaVijay Gupta
- Topics
- EEG and Brain-Computer Interfaces (31 papers)Blind Source Separation Techniques (20 papers)Neural Networks and Applications (10 papers)
- Journals
- IEEE AccessIEEE Transactions on Neural Systems and Rehabilitation EngineeringBiomedical Signal Processing and Control
- Partner nations
- IndiaIrelandUnited States
In The Last Decade
Rahul Upadhyay
49 papers receiving 411 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 260
- Signal Processing 124
- Cardiology and Cardiovascular Medicine 67
- Artificial Intelligence 58
- Electrical and Electronic Engineering 56
Countries citing papers authored by Rahul Upadhyay
This map shows the geographic impact of Rahul Upadhyay'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 Upadhyay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Upadhyay more than expected).
Fields of papers citing papers by Rahul Upadhyay
This network shows the impact of papers produced by Rahul Upadhyay. 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 Upadhyay. The network helps show where Rahul Upadhyay may publish in the future.
Co-authorship network of co-authors of Rahul Upadhyay
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Upadhyay. A scholar is included among the top collaborators of Rahul Upadhyay 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 Upadhyay. Rahul Upadhyay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 40 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 6 |
About Rahul Upadhyay
Rahul Upadhyay is a scholar working on Signal Processing, Cognitive Neuroscience and Human-Computer Interaction, having authored 49 papers that have together received 432 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Blind Source Separation Techniques (20 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Cognitive Neuroscience (260 citations), Signal Processing (124 citations) and Human-Computer Interaction (21 citations). Rahul Upadhyay has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Pavan Kumar Kankar, Prabin Kumar Padhy, Hari Singh, Vinay Kumar, Hari Shankar Singh, Shilpa Sethi, Rajesh Singla, Vijay Gupta, Daljeet Singh and Husanbir Singh Pannu. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signal Processing and Control.
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.