R. Naresh
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- L. Jegatha DeborahPandi VijayakumarSK Hafizul IslamP. SuprajaP. PandiarajaS. MuraliThompson StephanAchyut Shankar
- Topics
- Cloud Data Security Solutions (10 papers)Cryptography and Data Security (10 papers)Blockchain Technology Applications and Security (7 papers)
- Journals
- Applied Soft ComputingEngineering Applications of Artificial IntelligenceMultimedia Tools and Applications
- Partner nations
- IndiaEthiopiaUnited Kingdom
In The Last Decade
R. Naresh
34 papers receiving 238 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 96
- Information Systems 91
- Computer Networks and Communications 88
- Computer Vision and Pattern Recognition 42
- Electrical and Electronic Engineering 28
Countries citing papers authored by R. Naresh
This map shows the geographic impact of R. Naresh'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 R. Naresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Naresh more than expected).
Fields of papers citing papers by R. Naresh
This network shows the impact of papers produced by R. Naresh. 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 R. Naresh. The network helps show where R. Naresh may publish in the future.
Co-authorship network of co-authors of R. Naresh
This figure shows the co-authorship network connecting the top 25 collaborators of R. Naresh. A scholar is included among the top collaborators of R. Naresh 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 R. Naresh. R. Naresh 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | Malicious URL Detection System Using Combined SYM and Logistic Regression Model | 2 |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | 1 |
About R. Naresh
R. Naresh is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 43 papers that have together received 254 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (10 papers), Cryptography and Data Security (10 papers) and Blockchain Technology Applications and Security (7 papers). The work is most often cited by research in Information Systems (91 citations), Computer Networks and Communications (88 citations) and Artificial Intelligence (96 citations). R. Naresh has collaborated with scholars based in India, Ethiopia and United Kingdom. Frequent co-authors include L. Jegatha Deborah, Pandi Vijayakumar, SK Hafizul Islam, P. Supraja, P. Pandiaraja, S. Murali, Thompson Stephan, Achyut Shankar, Vilas G. Pol and P. Ragupathy. Their work appears in journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence and Multimedia Tools and 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.