D Preethi
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Internet Traffic Analysis and Secure E-voting 5
- Anomaly Detection Techniques and Applications 4
- Machine Learning in Healthcare 1
-
- Network Security and Intrusion Detection 8
- Co-authors
- Neelu Khare (8 shared papers)Sweta Bhattacharya (1 shared paper)Saurabh Singh (1 shared paper)Byungun Yoon (1 shared paper)Chiranji Lal Chowdhary (1 shared paper)Sandeep Kumar Mathivanan (2 shared papers)Mohd Asif Shah (2 shared papers)P. Della Monica (1 shared paper)
- Journals
- Electronics (1 paper)Frontiers in Medicine (1 paper)Neural Computing and Applications (1 paper)BMC Medical Imaging (2 papers)International Journal of Systems Assurance Engineering and Management (1 paper)
- Partner nations
- IndiaSaudi ArabiaAfghanistan
In The Last Decade
D Preethi
12 papers receiving 338 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 115
- Computer Networks and Communications 196
- Artificial Intelligence 207
- Neurology 19
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by D Preethi
This map shows the geographic impact of D Preethi'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 D Preethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Preethi more than expected).
Fields of papers citing papers by D Preethi
This network shows the impact of papers produced by D Preethi. 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 D Preethi. The network helps show where D Preethi may publish in the future.
Co-authors
The 19 scholars most cited alongside D Preethi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2020 | 102 | |
| 3 | 2024 | 17 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2024 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2023 | 0 |
About D Preethi
D Preethi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 20 papers that have together received 355 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers), COVID-19 diagnosis using AI (4 papers), Advanced Malware Detection Techniques (4 papers), Anomaly Detection Techniques and Applications (4 papers), Brain Tumor Detection and Classification (2 papers), Advanced Neural Network Applications (2 papers) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Signal Processing (115 citations), Computer Networks and Communications (196 citations), Artificial Intelligence (207 citations), Neurology (19 citations) and Computer Vision and Pattern Recognition (35 citations). D Preethi has collaborated with scholars based in India, Saudi Arabia and Afghanistan. Frequent co-authors include Neelu Khare, Sweta Bhattacharya, Saurabh Singh, Byungun Yoon, Chiranji Lal Chowdhary, Sandeep Kumar Mathivanan, Mohd Asif Shah, P. Della Monica, Saravanan Srinivasan and Rajendra Pandey. Their work appears in journals such as Electronics, Frontiers in Medicine, Neural Computing and Applications, BMC Medical Imaging and International Journal of Systems Assurance Engineering and Management.
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.