E. Ramanujam
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
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- IoT and Edge/Fog Computing
Papers in
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- Anomaly Detection Techniques and Applications 4
- Advanced Text Analysis Techniques 4
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- Context-Aware Activity Recognition Systems 10
- Co-authors
- S. Padmavathi (14 shared papers)Thinagaran Perumal (5 shared papers)Abhishek Sharma (1 shared paper)Nashwa Ahmad Kamal (3 shared papers)R. Suganya (1 shared paper)Naresh Babu Muppalaneni (2 shared papers)Supriya Singh (1 shared paper)A. M. Abirami (2 shared papers)
In The Last Decade
E. Ramanujam
31 papers receiving 561 citations
E. Ramanujam's Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 245
- Computer Networks and Communications 102
- Artificial Intelligence 137
- Plant Science 156
- Human-Computer Interaction 23
Countries citing papers authored by E. Ramanujam
This map shows the geographic impact of E. Ramanujam'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 E. Ramanujam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Ramanujam more than expected).
Fields of papers citing papers by E. Ramanujam
This network shows the impact of papers produced by E. Ramanujam. 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 E. Ramanujam. The network helps show where E. Ramanujam may publish in the future.
Co-authors
The 9 scholars most cited alongside E. Ramanujam, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review Hit paper breakdown → | 2021 | 296 |
| 2 | 2017 | 183 | |
| 3 | 2015 | 40 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2020 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About E. Ramanujam
E. Ramanujam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Information Systems, having authored 37 papers that have together received 622 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Time Series Analysis and Forecasting (8 papers), Spam and Phishing Detection (6 papers), IoT and Edge/Fog Computing (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Text Analysis Techniques (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Computer Networks and Communications (102 citations), Artificial Intelligence (137 citations), Plant Science (156 citations) and Human-Computer Interaction (23 citations). E. Ramanujam has collaborated with scholars based in India, Malaysia and Egypt. Frequent co-authors include S. Padmavathi, Thinagaran Perumal, Abhishek Sharma, Nashwa Ahmad Kamal, R. Suganya, Naresh Babu Muppalaneni, Supriya Singh, A. M. Abirami and K. Chandra Sekar. Their work appears in journals such as Multimedia Tools and Applications, IEEE Sensors Journal, Journal of Ambient Intelligence and Humanized Computing, IEEE Multimedia and Journal of Network and Computer Applications.
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.