Rahul Gupta
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- James AsheAnil Kumar YadavPawan Kumar PathakJatindra Kumar DashSudipta MukhopadhyaySanjeev JhaAhmed H. TewfikGiuseppe Pellizzer
- Topics
- Solar Radiation and Photovoltaics (13 papers)Image Retrieval and Classification Techniques (8 papers)Energy Load and Power Forecasting (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceComputer Vision and Pattern Recognition
- Partner nations
- IndiaUnited StatesTürkiye
In The Last Decade
Rahul Gupta
43 papers receiving 542 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 178
- Cellular and Molecular Neuroscience 170
- Artificial Intelligence 135
- Electrical and Electronic Engineering 122
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Rahul Gupta
This map shows the geographic impact of Rahul Gupta'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 Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Gupta more than expected).
Fields of papers citing papers by Rahul Gupta
This network shows the impact of papers produced by Rahul Gupta. 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 Gupta. The network helps show where Rahul Gupta may publish in the future.
Co-authorship network of co-authors of Rahul Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Gupta. A scholar is included among the top collaborators of Rahul Gupta 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 Gupta. Rahul Gupta 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 | 0 | |
| 3 | 24 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 23 | |
| 9 | WAPS: Weighted and Projected Sampling. | 7 |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 117 | |
| 16 | 5 | |
| 17 | 59 | |
| 18 | 4 | |
| 19 | 22 | |
| 20 | 21 |
About Rahul Gupta
Rahul Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 47 papers that have together received 564 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (13 papers), Image Retrieval and Classification Techniques (8 papers) and Energy Load and Power Forecasting (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (170 citations), Cognitive Neuroscience (178 citations) and Computer Vision and Pattern Recognition (112 citations). Rahul Gupta has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include James Ashe, Anil Kumar Yadav, Pawan Kumar Pathak, Jatindra Kumar Dash, Sudipta Mukhopadhyay, Sanjeev Jha, Ahmed H. Tewfik, Giuseppe Pellizzer, Adam G. Rouse and Randy Jensen. Their work appears in journals such as PLoS ONE, Geochimica et Cosmochimica Acta and The Science of The Total Environment.
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.