J. Manikandan
Impact in
- Toxicology top 2%
Papers in
-
- Speech and Audio Processing 13
- Blind Source Separation Techniques 13
-
- Face and Expression Recognition 13
- Advanced Data Compression Techniques 7
- Co-authors
- Peter Natesan PushparajAlirio J. MelendezB. VenkataramaniDinesh Kumar SrinivasanWei‐Yi OngLiya E. YuSuresh Kumar BalasubramanianJinatta Jittiwat
- Journals
- Journal of Cellular Physiology (4 papers)BMC Genomics (3 papers)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (2 papers)Journal of Cellular and Molecular Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
J. Manikandan
182 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 183
- Complementary and alternative medicine 254
- Toxicology 82
- Cancer Research 330
- Neurology 150
- Immunology 367
Countries citing papers authored by J. Manikandan
This map shows the geographic impact of J. Manikandan'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 J. Manikandan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Manikandan more than expected).
Fields of papers citing papers by J. Manikandan
This network shows the impact of papers produced by J. Manikandan. 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 J. Manikandan. The network helps show where J. Manikandan may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Manikandan, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 1 | |
| 12 | Experimental Analysis of Double Glazed Flat Plate Solar Water Heater with Various Absorber Plate Geometries | 2016 | 12 |
| 13 | 2015 | 11 | |
| 14 | Customer satisfaction towards the FOGG Deodorant, Avadi, Chennai | 2015 | 0 |
| 15 | 2014 | 1 | |
| 16 | 2013 | 15 | |
| 17 | 2012 | 26 | |
| 18 | 2010 | 19 | |
| 19 | 2010 | 20 | |
| 20 | 2008 | 31 |
About J. Manikandan
J. Manikandan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Hardware and Architecture, Developmental Neuroscience and Artificial Intelligence, having authored 206 papers that have together received 3.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), Blind Source Separation Techniques (13 papers), Face and Expression Recognition (13 papers), Speech Recognition and Synthesis (9 papers), IoT-based Smart Home Systems (9 papers), Embedded Systems Design Techniques (8 papers), Neural Networks and Applications (8 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Complementary and alternative medicine (254 citations), Toxicology (82 citations), Cancer Research (330 citations), Neurology (150 citations) and Immunology (367 citations). J. Manikandan has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Peter Natesan Pushparaj, Alirio J. Melendez, B. Venkataramani, Dinesh Kumar Srinivasan, Wei‐Yi Ong, Liya E. Yu, Suresh Kumar Balasubramanian, Jinatta Jittiwat, Choon Nam Ong and C.H. Tan. Their work appears in journals such as Journal of Cellular Physiology, BMC Genomics, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Journal of Cellular and Molecular Medicine and PLoS ONE.
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.