P. Pandiaraja
- Artificial Intelligence
- Information Systems top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Thompson StephanAchyut ShankarP. Rajesh KannaPandi VijayakumarBalamurugan BalusamyR. NareshMarimuthu KaruppiahS. Murali
- Topics
- Spam and Phishing Detection (4 papers)Internet Traffic Analysis and Secure E-voting (4 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Journals
- Applied Soft ComputingMultimedia Tools and ApplicationsPeer-to-Peer Networking and Applications
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
P. Pandiaraja
23 papers receiving 170 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 81
- Information Systems 64
- Computer Networks and Communications 44
- Computer Vision and Pattern Recognition 40
- Signal Processing 18
Countries citing papers authored by P. Pandiaraja
This map shows the geographic impact of P. Pandiaraja'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 P. Pandiaraja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Pandiaraja more than expected).
Fields of papers citing papers by P. Pandiaraja
This network shows the impact of papers produced by P. Pandiaraja. 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 P. Pandiaraja. The network helps show where P. Pandiaraja may publish in the future.
Co-authorship network of co-authors of P. Pandiaraja
This figure shows the co-authorship network connecting the top 25 collaborators of P. Pandiaraja. A scholar is included among the top collaborators of P. Pandiaraja 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 P. Pandiaraja. P. Pandiaraja 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | A scrutiny on covid-19 detection using convolutional neural network and image processing | 1 |
| 12 | 7 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 19 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 3 |
About P. Pandiaraja
P. Pandiaraja is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 196 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Information Systems (64 citations), Artificial Intelligence (81 citations) and Health Information Management (10 citations). P. Pandiaraja has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Thompson Stephan, Achyut Shankar, P. Rajesh Kanna, Pandi Vijayakumar, Balamurugan Balusamy, R. Naresh, Marimuthu Karuppiah, S. Murali, V. Vijayakumar and S. Parasuraman. Their work appears in journals such as Applied Soft Computing, Multimedia Tools and Applications and Peer-to-Peer Networking 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.