Rajesh Prasad
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Amol DhumaneU. V. KulkarniNeeli R. PrasadMicheal Olaolu ArowoloSunil P. TrivediManoj KumarDeepak ManeParikshit N. Mahalle
- Topics
- Spam and Phishing Detection (9 papers)Authorship Attribution and Profiling (9 papers)Energy Efficient Wireless Sensor Networks (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsApplied Soft Computing
In The Last Decade
Rajesh Prasad
45 papers receiving 378 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 183
- Artificial Intelligence 165
- Electrical and Electronic Engineering 88
- Computer Vision and Pattern Recognition 84
- Information Systems 79
Countries citing papers authored by Rajesh Prasad
This map shows the geographic impact of Rajesh 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 Rajesh Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Prasad more than expected).
Fields of papers citing papers by Rajesh Prasad
This network shows the impact of papers produced by Rajesh 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 Rajesh Prasad. The network helps show where Rajesh Prasad may publish in the future.
Co-authorship network of co-authors of Rajesh Prasad
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Prasad. A scholar is included among the top collaborators of Rajesh 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 Rajesh Prasad. Rajesh 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 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | Antigenotoxic effect of turmeric powder extract curcumin against chromium trioxide induced genotoxicity in fish Channa punctatus | 6 |
| 13 | NEXT WORD PREDICTION AND CORRECTION SYSTEM USING TENSORFLOW | 0 |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 32 | |
| 18 | 3 | |
| 19 | A Cloud Infrastructure to Manage Future Internet: The Virtual Network Operation Center | 1 |
| 20 | 18 |
About Rajesh Prasad
Rajesh Prasad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 52 papers that have together received 434 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Authorship Attribution and Profiling (9 papers) and Energy Efficient Wireless Sensor Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (183 citations), Artificial Intelligence (165 citations) and Media Technology (39 citations). Rajesh Prasad has collaborated with scholars based in India, Denmark and Nigeria. Frequent co-authors include Amol Dhumane, U. V. Kulkarni, Neeli R. Prasad, Micheal Olaolu Arowolo, Sunil P. Trivedi, Manoj Kumar, Deepak Mane, Parikshit N. Mahalle, Ramli Musa and Muskan Garg. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Soft Computing.
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.