Deepak Gupta
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Environmental Engineering top 5%
- Co-authors
- Barenya Bikash HazarikaUmesh GuptaParashjyoti BorahS. R. BalasundaramBharat RichhariyaBerlin MohanadhasN. NatarajanMukesh Prasad
- Topics
- Face and Expression Recognition (43 papers)Machine Learning and ELM (41 papers)Neural Networks and Applications (12 papers)
In The Last Decade
Deepak Gupta
97 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 951
- Computer Vision and Pattern Recognition 651
- Electrical and Electronic Engineering 243
- Control and Systems Engineering 212
- Environmental Engineering 197
Countries citing papers authored by Deepak Gupta
This map shows the geographic impact of Deepak 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 Deepak Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Gupta more than expected).
Fields of papers citing papers by Deepak Gupta
This network shows the impact of papers produced by Deepak 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 Deepak Gupta. The network helps show where Deepak Gupta may publish in the future.
Co-authorship network of co-authors of Deepak Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Gupta. A scholar is included among the top collaborators of Deepak 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 Deepak Gupta. Deepak 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 | 2 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | Leaf disease detection using machine learning and deep learning: Review and challengesbreakdown → | 116 |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 18 | |
| 12 | 10 | |
| 13 | 27 | |
| 14 | 20 | |
| 15 | 84 | |
| 16 | Word and graph embeddings for covid-19 retweet prediction | 1 |
| 17 | 2 | |
| 18 | 46 | |
| 19 | A Review on Support Vector Machines for Classification Problems | 1 |
| 20 | 20 |
About Deepak Gupta
Deepak Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (43 papers), Machine Learning and ELM (41 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (651 citations), Artificial Intelligence (951 citations) and Environmental Engineering (197 citations). Deepak Gupta has collaborated with scholars based in India, Australia and Singapore. Frequent co-authors include Barenya Bikash Hazarika, Umesh Gupta, Parashjyoti Borah, S. R. Balasundaram, Bharat Richhariya, Berlin Mohanadhas, N. Natarajan, Mukesh Prasad, Usha Sharma and Kamal Garg. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Fuzzy Sets and Systems.
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.