Prashant Srivastava
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Co-authors
- Ashish KhareNguyễn Thanh BìnhDhwani DesaiAndrew M. LynnVijay Kumar ChaurasiyaOm PrakashRahul GuptaSatyam Singh
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Image Retrieval and Classification Techniques (10 papers)Video Analysis and Summarization (4 papers)
- Partner nations
- IndiaSouth KoreaVietnam
In The Last Decade
Prashant Srivastava
14 papers receiving 233 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 173
- Media Technology 70
- Artificial Intelligence 45
- Information Systems 22
- Computer Networks and Communications 20
Countries citing papers authored by Prashant Srivastava
This map shows the geographic impact of Prashant Srivastava'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 Prashant Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Srivastava more than expected).
Fields of papers citing papers by Prashant Srivastava
This network shows the impact of papers produced by Prashant Srivastava. 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 Prashant Srivastava. The network helps show where Prashant Srivastava may publish in the future.
Co-authorship network of co-authors of Prashant Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Srivastava. A scholar is included among the top collaborators of Prashant Srivastava 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 Prashant Srivastava. Prashant Srivastava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 34 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 65 | |
| 11 | 13 | |
| 12 | 29 | |
| 13 | Detection of Wormhole Attack using Hop-count and Time delay Analysis | 10 |
| 14 | 22 | |
| 15 | 30 |
About Prashant Srivastava
Prashant Srivastava is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Spectroscopy, having authored 15 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Media Technology (70 citations) and Artificial Intelligence (45 citations). Prashant Srivastava has collaborated with scholars based in India, South Korea and Vietnam. Frequent co-authors include Ashish Khare, Nguyễn Thanh Bình, Dhwani Desai, Andrew M. Lynn, Vijay Kumar Chaurasiya, Om Prakash, Rahul Gupta, Satyam Singh, Ram Pratap and Manish Khare. Their work appears in journals such as BMC Bioinformatics, Multimedia Tools and Applications and The Computer 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.