M. Balamurugan
- Artificial Intelligence
- Health Information Management top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Co-authors
- M. SivakumarM. VelanS. KannanR. VaratharajanAmritha SureshM. SangeethaPundru Chandra Shaker ReddyRatchagaraja Dhairiyasamy
- Topics
- Artificial Intelligence in Healthcare (9 papers)Imbalanced Data Classification Techniques (6 papers)IoT and Edge/Fog Computing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsThe International Journal of Advanced Manufacturing Technology
- Partner nations
- IndiaEthiopiaUnited States
In The Last Decade
M. Balamurugan
43 papers receiving 222 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 58
- Health Information Management 37
- Information Systems 35
- Computer Vision and Pattern Recognition 35
- Computational Mechanics 29
Countries citing papers authored by M. Balamurugan
This map shows the geographic impact of M. Balamurugan'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 M. Balamurugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Balamurugan more than expected).
Fields of papers citing papers by M. Balamurugan
This network shows the impact of papers produced by M. Balamurugan. 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 M. Balamurugan. The network helps show where M. Balamurugan may publish in the future.
Co-authorship network of co-authors of M. Balamurugan
This figure shows the co-authorship network connecting the top 25 collaborators of M. Balamurugan. A scholar is included among the top collaborators of M. Balamurugan 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 M. Balamurugan. M. Balamurugan 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 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | ANALYSE THE PERFORMANCE OF ENSEMBLE CLASSIFIERS USING SAMPLING TECHNIQUES | 2 |
| 18 | 8 | |
| 19 | Implementation of Quality FunctionDeployment in Pump Industry | 4 |
| 20 | 2 |
About M. Balamurugan
M. Balamurugan is a scholar working on Health Information Management, Artificial Intelligence and Computer Networks and Communications, having authored 56 papers that have together received 242 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Imbalanced Data Classification Techniques (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Health Information Management (37 citations), Neurology (19 citations) and Artificial Intelligence (58 citations). M. Balamurugan has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include M. Sivakumar, M. Velan, S. Kannan, R. Varatharajan, Amritha Suresh, M. Sangeetha, Pundru Chandra Shaker Reddy, Ratchagaraja Dhairiyasamy, V. Arulkumar and R. Chakrabarti. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and The International Journal of Advanced Manufacturing Technology.
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.