S. Suchitra
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
-
- Image and Object Detection Techniques
- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Image and Object Detection Techniques 6
- Advanced Image and Video Retrieval Techniques 5
- Face and Expression Recognition 4
- Co-authors
- Thambipillai Srikanthan (12 shared papers)S. Sophia (4 shared papers)Ravi Kumar Satzoda (8 shared papers)K. Vijayakumar (2 shared papers)Lalitha Krishnasamy (2 shared papers)Marco Leo (2 shared papers)Shabana Urooj (1 shared paper)Neelam Sharma (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)IEEE Signal Processing Letters (1 paper)IEEE Access (1 paper)Brazilian Archives of Biology and Technology (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
S. Suchitra
43 papers receiving 411 citations
Peers
Comparison fields: 5 of 87
- Analytical Chemistry 65
- Computer Vision and Pattern Recognition 118
- Plant Science 154
- Automotive Engineering 44
- Media Technology 31
Countries citing papers authored by S. Suchitra
This map shows the geographic impact of S. Suchitra'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. Suchitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Suchitra more than expected).
Fields of papers citing papers by S. Suchitra
This network shows the impact of papers produced by S. Suchitra. 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. Suchitra. The network helps show where S. Suchitra may publish in the future.
Co-authors
The 17 scholars most cited alongside S. Suchitra, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2008 | 38 | |
| 3 | 2022 | 28 | |
| 4 | 2019 | 23 | |
| 5 | 2020 | 19 | |
| 6 | 2008 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2024 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2013 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2009 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2017 | 5 |
About S. Suchitra
S. Suchitra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 53 papers that have together received 468 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (6 papers), Numerical Methods and Algorithms (5 papers), IoT-based Smart Home Systems (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Face and Expression Recognition (4 papers), Digital Filter Design and Implementation (3 papers) and IoT and GPS-based Vehicle Safety Systems (3 papers). The work is most often cited by research in Analytical Chemistry (65 citations), Computer Vision and Pattern Recognition (118 citations), Plant Science (154 citations), Automotive Engineering (44 citations) and Media Technology (31 citations). S. Suchitra has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Thambipillai Srikanthan, S. Sophia, Ravi Kumar Satzoda, K. Vijayakumar, Lalitha Krishnasamy, Marco Leo, Shabana Urooj, Neelam Sharma, Nitish Pathak and S. Jafar Ali Ibrahim. Their work appears in journals such as Multimedia Tools and Applications, IEEE Signal Processing Letters, IEEE Access, Brazilian Archives of Biology and Technology and Applied Soft Computing.
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.