A. Ahilan
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Advanced Data Compression Techniques 2
- Medical Image Segmentation Techniques 1
- Image and Signal Denoising Methods 1
- Co-authors
- S. N. Kumar (2 shared papers)Sujatha Krishnamoorthy (1 shared paper)Priyan Malarvizhi Kumar (1 shared paper)Gokulnath Chandra Babu (1 shared paper)T. Jarin (1 shared paper)Gunasekaran Manogaran (1 shared paper)C. Agees Kumar (1 shared paper)P. Parthasarathy (1 shared paper)
- Journals
- IEEE Sensors Journal (4 papers)IEEE Access (2 papers)Circuits Systems and Signal Processing (1 paper)Journal of Circuits Systems and Computers (1 paper)Australian Journal of Electrical & Electronics Engineering (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
A. Ahilan
9 papers receiving 245 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 92
- Media Technology 28
- Neurology 24
- Health Information Management 9
- Artificial Intelligence 53
Countries citing papers authored by A. Ahilan
This map shows the geographic impact of A. Ahilan'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 A. Ahilan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Ahilan more than expected).
Fields of papers citing papers by A. Ahilan
This network shows the impact of papers produced by A. Ahilan. 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 A. Ahilan. The network helps show where A. Ahilan may publish in the future.
Co-authors
The 16 scholars most cited alongside A. Ahilan, 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 | 2019 | 117 | |
| 2 | 2019 | 49 | |
| 3 | 2024 | 37 | |
| 4 | 2015 | 15 | |
| 5 | 2024 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2025 | 0 |
About A. Ahilan
A. Ahilan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Civil and Structural Engineering and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 258 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Fire Detection and Safety Systems (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Medical Image Segmentation Techniques (1 paper), VLSI and Analog Circuit Testing (1 paper), Image and Signal Denoising Methods (1 paper) and Innovative Energy Harvesting Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Media Technology (28 citations), Neurology (24 citations), Health Information Management (9 citations) and Artificial Intelligence (53 citations). A. Ahilan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include S. N. Kumar, Sujatha Krishnamoorthy, Priyan Malarvizhi Kumar, Gokulnath Chandra Babu, T. Jarin, Gunasekaran Manogaran, C. Agees Kumar, P. Parthasarathy, N. Muthukumaran and Revathi Sundarasekar. Their work appears in journals such as IEEE Sensors Journal, IEEE Access, Circuits Systems and Signal Processing, Journal of Circuits Systems and Computers and Australian Journal of Electrical & Electronics Engineering.
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.