Bhanu Prasad
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Shivam GuptaK. K. BiswasZahid Mahmood KhanTarunraj SinghSunilkumar S. ManviMahantesh N. BirjeS. DeepakAkshat Jain
- Topics
- Data Management and Algorithms (8 papers)Data Mining Algorithms and Applications (6 papers)Rough Sets and Fuzzy Logic (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingIndustrial and Manufacturing Engineering
- Partner nations
- United StatesIndiaUkraine
In The Last Decade
Bhanu Prasad
45 papers receiving 429 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 108
- Computer Networks and Communications 91
- Information Systems 82
- Electrical and Electronic Engineering 56
Countries citing papers authored by Bhanu Prasad
This map shows the geographic impact of Bhanu Prasad'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 Bhanu Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhanu Prasad more than expected).
Fields of papers citing papers by Bhanu Prasad
This network shows the impact of papers produced by Bhanu Prasad. 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 Bhanu Prasad. The network helps show where Bhanu Prasad may publish in the future.
Co-authorship network of co-authors of Bhanu Prasad
This figure shows the co-authorship network connecting the top 25 collaborators of Bhanu Prasad. A scholar is included among the top collaborators of Bhanu Prasad 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 Bhanu Prasad. Bhanu Prasad 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 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | Mining Multiple Large Data Sources | 7 |
| 14 | 1 | |
| 15 | An Improved Case-Based System for Product Recommendation. | 1 |
| 16 | Decomposition and Scanning Optimization Algorithms for TSP. | 1 |
| 17 | 34 | |
| 18 | A System-on-Chip Design of the RadioGatún Hash Function. | 1 |
| 19 | 17 | |
| 20 | INTELLIGENT TECHNIQUES FOR E-COMMERCE | 14 |
About Bhanu Prasad
Bhanu Prasad is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 494 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Data Mining Algorithms and Applications (6 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Signal Processing (51 citations) and Industrial and Manufacturing Engineering (45 citations). Bhanu Prasad has collaborated with scholars based in United States, India and Ukraine. Frequent co-authors include Shivam Gupta, K. K. Biswas, Zahid Mahmood Khan, Tarunraj Singh, Sunilkumar S. Manvi, Mahantesh N. Birje, S. Deepak, Akshat Jain, Ayush Pant and M. Hariharan. Their work appears in journals such as Computers & Operations Research, Computer Vision and Image Understanding and Applied Intelligence.
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.