Shiv Ram Dubey
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.1%
- Atmospheric Science top 2%
- Artificial Intelligence top 2%
- Plant Science top 5%
- Co-authors
- B.B. ChaudhuriSatish Kumar SinghSwalpa Kumar RoyAnand Singh JalalRajat Kumar SinghSnehasis MukherjeeS. H. Shabbeer BashaP. Viswanath
- Topics
- Advanced Image and Video Retrieval Techniques (23 papers)Image Retrieval and Classification Techniques (21 papers)Smart Agriculture and AI (12 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Shiv Ram Dubey
68 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 1.9k
- Media Technology 1.6k
- Atmospheric Science 885
- Artificial Intelligence 825
- Plant Science 642
Countries citing papers authored by Shiv Ram Dubey
This map shows the geographic impact of Shiv Ram Dubey'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 Shiv Ram Dubey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiv Ram Dubey more than expected).
Fields of papers citing papers by Shiv Ram Dubey
This network shows the impact of papers produced by Shiv Ram Dubey. 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 Shiv Ram Dubey. The network helps show where Shiv Ram Dubey may publish in the future.
Co-authorship network of co-authors of Shiv Ram Dubey
This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Ram Dubey. A scholar is included among the top collaborators of Shiv Ram Dubey 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 Shiv Ram Dubey. Shiv Ram Dubey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | Activation functions in deep learning: A comprehensive survey and benchmarkbreakdown → | 589 |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 81 | |
| 11 | 36 | |
| 12 | 29 | |
| 13 | HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classificationbreakdown → | 1296 |
| 14 | 36 | |
| 15 | 38 | |
| 16 | 149 | |
| 17 | 14 | |
| 18 | 133 | |
| 19 | 58 | |
| 20 | 23 |
About Shiv Ram Dubey
Shiv Ram Dubey is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry, having authored 69 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (23 papers), Image Retrieval and Classification Techniques (21 papers) and Smart Agriculture and AI (12 papers). The work is most often cited by research in Media Technology (1.6k citations), Computer Vision and Pattern Recognition (1.9k citations) and Analytical Chemistry (555 citations). Shiv Ram Dubey has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include B.B. Chaudhuri, Satish Kumar Singh, Swalpa Kumar Roy, Anand Singh Jalal, Rajat Kumar Singh, Snehasis Mukherjee, S. H. Shabbeer Basha, P. Viswanath, Jay Prakash Gupta and Nishant Singh. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.