A. Balasundaram
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Information Systems top 10%
- Co-authors
- C. ChellappanK. PradeepArun Kumar SivaramanD. KothandaramanE. C. G. SudarshanSidheswar RoutrayA. V. PrabuMoinak Maiti
- Topics
- Smart Agriculture and AI (14 papers)Video Surveillance and Tracking Methods (11 papers)IoT and Edge/Fog Computing (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth Information ManagementComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IndiaJapanUnited Kingdom
In The Last Decade
A. Balasundaram
71 papers receiving 605 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 170
- Computer Networks and Communications 167
- Computer Vision and Pattern Recognition 164
- Biomedical Engineering 114
- Information Systems 106
Countries citing papers authored by A. Balasundaram
This map shows the geographic impact of A. Balasundaram'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. Balasundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Balasundaram more than expected).
Fields of papers citing papers by A. Balasundaram
This network shows the impact of papers produced by A. Balasundaram. 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. Balasundaram. The network helps show where A. Balasundaram may publish in the future.
Co-authorship network of co-authors of A. Balasundaram
This figure shows the co-authorship network connecting the top 25 collaborators of A. Balasundaram. A scholar is included among the top collaborators of A. Balasundaram 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 A. Balasundaram. A. Balasundaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 65 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | An Extensive Study on Disease Prediction in Mango Trees Using Computer Vision | 12 |
| 19 | 8 | |
| 20 | 18 |
About A. Balasundaram
A. Balasundaram is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, having authored 78 papers that have together received 684 indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Video Surveillance and Tracking Methods (11 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Health Information Management (35 citations) and Computer Networks and Communications (167 citations). A. Balasundaram has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include C. Chellappan, K. Pradeep, Arun Kumar Sivaraman, D. Kothandaraman, E. C. G. Sudarshan, Sidheswar Routray, A. V. Prabu, Moinak Maiti, Prabhakar Krishnan and Prince Priya Malla. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.