Amirthalingam Ramanan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Plant Science
- Co-authors
- Siyamalan ManivannanRuixuan WangMahesan NiranjanClinton FookesSridha SridharanRajiv PrakashSaman HalgamugePonnuthurai Nagaratnam Suganthan
- Topics
- Advanced Image and Video Retrieval Techniques (12 papers)Video Surveillance and Tracking Methods (8 papers)Vehicle License Plate Recognition (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- Sri LankaUnited KingdomAustralia
In The Last Decade
Amirthalingam Ramanan
37 papers receiving 409 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 225
- Artificial Intelligence 94
- Radiology, Nuclear Medicine and Imaging 61
- Media Technology 57
- Plant Science 57
Countries citing papers authored by Amirthalingam Ramanan
This map shows the geographic impact of Amirthalingam Ramanan'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 Amirthalingam Ramanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amirthalingam Ramanan more than expected).
Fields of papers citing papers by Amirthalingam Ramanan
This network shows the impact of papers produced by Amirthalingam Ramanan. 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 Amirthalingam Ramanan. The network helps show where Amirthalingam Ramanan may publish in the future.
Co-authorship network of co-authors of Amirthalingam Ramanan
This figure shows the co-authorship network connecting the top 25 collaborators of Amirthalingam Ramanan. A scholar is included among the top collaborators of Amirthalingam Ramanan 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 Amirthalingam Ramanan. Amirthalingam Ramanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Pooling in convolutional neural networks for medical image analysis: a survey and an empirical studybreakdown → | 133 |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 10 | |
| 20 | 1 |
About Amirthalingam Ramanan
Amirthalingam Ramanan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 426 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers) and Vehicle License Plate Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (225 citations), Media Technology (57 citations) and Neurology (25 citations). Amirthalingam Ramanan has collaborated with scholars based in Sri Lanka, United Kingdom and Australia. Frequent co-authors include Siyamalan Manivannan, Ruixuan Wang, Mahesan Niranjan, Clinton Fookes, Sridha Sridharan, Rajiv Prakash, Saman Halgamuge, Ponnuthurai Nagaratnam Suganthan, Damayanthi Herath and R.B. Durairaj. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.