M. Subramoniam
Impact in
- Insect Science top 10%
- Insect Pheromone Research and Control
- Biomedical Engineering top 10%
- Advanced Chemical Sensor Technologies
Papers in
-
- Advanced Chemical Sensor Technologies 13
-
- Gas Sensing Nanomaterials and Sensors 12
- IoT-based Smart Home Systems 3
- Co-authors
- V A Binson (17 shared papers)Luke Mathew (6 shared papers)S. Madhu (1 shared paper)S. Naveen (1 shared paper)J. Arun (1 shared paper)V. Rajini (2 shared papers)Ajay Kumar (1 shared paper)Immanuel Rajkumar (1 shared paper)
- Journals
- Computers & Electrical Engineering (2 papers)Microchemical Journal (1 paper)Heritage Science (1 paper)Soft Computing (1 paper)Microsystem Technologies (1 paper)
- Partner nations
- IndiaUnited Arab Emirates
In The Last Decade
M. Subramoniam
31 papers receiving 534 citations
M. Subramoniam's Hit Papers
Peers
Comparison fields: 5 of 100
- Insect Science 83
- Biomedical Engineering 287
- Health Information Management 30
- Bioengineering 36
- Sensory Systems 21
Countries citing papers authored by M. Subramoniam
This map shows the geographic impact of M. Subramoniam'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. Subramoniam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Subramoniam more than expected).
Fields of papers citing papers by M. Subramoniam
This network shows the impact of papers produced by M. Subramoniam. 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. Subramoniam. The network helps show where M. Subramoniam may publish in the future.
Co-authors
The 8 scholars most cited alongside M. Subramoniam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2021 | 70 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 52 | |
| 5 | A Review of Machine Learning Algorithms for Biomedical Applications Hit paper breakdown → | 2024 | 46 |
| 6 | 2018 | 42 | |
| 7 | 2021 | 39 | |
| 8 | 2018 | 18 | |
| 9 | 2024 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 10 | |
| 14 | MOS Based Sensor Array System for the Detection of Human Breath Volatile Organic Compounds | 2021 | 9 |
| 15 | 2022 | 9 | |
| 16 | A non-invasive computer aided diagnosis of osteoarthritis from digitalx-ray images | 2015 | 7 |
| 17 | 2019 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2013 | 4 | |
| 20 | 2022 | 4 |
About M. Subramoniam
M. Subramoniam is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Insect Science and Signal Processing, having authored 35 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (13 papers), Gas Sensing Nanomaterials and Sensors (12 papers), Insect Pheromone Research and Control (7 papers), Biometric Identification and Security (4 papers), AI in cancer detection (4 papers), IoT-based Smart Home Systems (3 papers), Digital Imaging for Blood Diseases (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Insect Science (83 citations), Biomedical Engineering (287 citations), Health Information Management (30 citations), Bioengineering (36 citations) and Sensory Systems (21 citations). M. Subramoniam has collaborated with scholars based in India and United Arab Emirates. Frequent co-authors include V A Binson, Luke Mathew, S. Madhu, S. Naveen, J. Arun, V. Rajini, Ajay Kumar and Immanuel Rajkumar. Their work appears in journals such as Computers & Electrical Engineering, Microchemical Journal, Heritage Science, Soft Computing and Microsystem Technologies.
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.