S. Malathi
Impact in
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
-
- Face and Expression Recognition 3
- Video Surveillance and Tracking Methods 3
-
- Biometric Identification and Security 9
- Co-authors
- Palani Perumal (1 shared paper)V. D. Ambeth Kumar (10 shared papers)Vinod Kumar Gupta (1 shared paper)Tawfik A. Saleh (1 shared paper)Rajeev Jain (1 shared paper)Shilpi Agarwal (1 shared paper)Arunima Nayak (1 shared paper)Sashank Sridhar (4 shared papers)
- Journals
- Separation Science and Technology (1 paper)Knowledge-Based Systems (1 paper)Indian Journal of Science and Technology (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Sensors (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
S. Malathi
47 papers receiving 512 citations
Peers
Comparison fields: 5 of 117
- Signal Processing 59
- Computer Vision and Pattern Recognition 93
- Software 17
- Materials Chemistry 189
- Water Science and Technology 53
Countries citing papers authored by S. Malathi
This map shows the geographic impact of S. Malathi'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 S. Malathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Malathi more than expected).
Fields of papers citing papers by S. Malathi
This network shows the impact of papers produced by S. Malathi. 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 S. Malathi. The network helps show where S. Malathi may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Malathi, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 144 | |
| 2 | 2011 | 67 | |
| 3 | 2022 | 37 | |
| 4 | 2013 | 35 | |
| 5 | 2010 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2011 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2006 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2011 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2012 | 10 | |
| 14 | 2010 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2021 | 6 |
About S. Malathi
S. Malathi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Electrical and Electronic Engineering and Software, having authored 59 papers that have together received 565 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Software Engineering Research (6 papers), Software Reliability and Analysis Research (6 papers), Software Engineering Techniques and Practices (4 papers), Brain Tumor Detection and Classification (4 papers), Face and Expression Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers) and Gait Recognition and Analysis (3 papers). The work is most often cited by research in Signal Processing (59 citations), Computer Vision and Pattern Recognition (93 citations), Software (17 citations), Materials Chemistry (189 citations) and Water Science and Technology (53 citations). S. Malathi has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Palani Perumal, V. D. Ambeth Kumar, Vinod Kumar Gupta, Tawfik A. Saleh, Rajeev Jain, Shilpi Agarwal, Arunima Nayak, Sashank Sridhar, S. Balasubramanian and S. Narayana Kalkura. Their work appears in journals such as Separation Science and Technology, Knowledge-Based Systems, Indian Journal of Science and Technology, Journal of Intelligent & Fuzzy Systems and Sensors.
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.