P. Subashini
Impact in
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- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Media Technology top 10%
Papers in
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- Image and Signal Denoising Methods 10
- Face and Expression Recognition 9
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- Metaheuristic Optimization Algorithms Research 6
- Neural Networks and Applications 5
- Co-authors
- Kalaiselvi Senthil (1 shared paper)G. Padmavathi (3 shared papers)Gheorghiță Ghinea (3 shared papers)S. Santhosh Baboo (1 shared paper)Celso A. S. Santos (1 shared paper)Gerald Schaefer (1 shared paper)Dieter Roller (1 shared paper)S. N. Geethalakshmi (1 shared paper)
- Journals
- Bioinformatics and Biology Insights (1 paper)Evolving Systems (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)International Journal of Electrical and Computer Engineering (IJECE) (2 papers)SN Computer Science (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
P. Subashini
58 papers receiving 258 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 105
- Media Technology 40
- Artificial Intelligence 101
- Biophysics 12
- Neurology 13
Countries citing papers authored by P. Subashini
This map shows the geographic impact of P. Subashini'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 P. Subashini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Subashini more than expected).
Fields of papers citing papers by P. Subashini
This network shows the impact of papers produced by P. Subashini. 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 P. Subashini. The network helps show where P. Subashini may publish in the future.
Co-authors
The 11 scholars most cited alongside P. Subashini, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 27 | |
| 2 | 2018 | 25 | |
| 3 | 2012 | 17 | |
| 4 | 2016 | 12 | |
| 5 | 2013 | 12 | |
| 6 | 2016 | 11 | |
| 7 | Optimization of image processing techniques using neural networks: a review | 2011 | 10 |
| 8 | Performance evaluation of the various edge detectors and filters for the noisy IR images | 2009 | 9 |
| 9 | Automatic Noise Identification in Images using Statistical Features | 2011 | 9 |
| 10 | 2023 | 9 | |
| 11 | 2013 | 9 | |
| 12 | Optimal Feature Subset Selection Using Differential Evolution and Extreme Learning Machine | 2014 | 7 |
| 13 | 2013 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2011 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2016 | 4 |
About P. Subashini
P. Subashini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Cognitive Neuroscience and Signal Processing, having authored 64 papers that have together received 278 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Face and Expression Recognition (9 papers), Metaheuristic Optimization Algorithms Research (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Emotion and Mood Recognition (5 papers), Mobile Ad Hoc Networks (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Media Technology (40 citations), Artificial Intelligence (101 citations), Biophysics (12 citations) and Neurology (13 citations). P. Subashini has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Kalaiselvi Senthil, G. Padmavathi, Gheorghiță Ghinea, S. Santhosh Baboo, Celso A. S. Santos, Gerald Schaefer, Dieter Roller, S. N. Geethalakshmi, Ramesh Sivanpillai and Aawatif Hayar. Their work appears in journals such as Bioinformatics and Biology Insights, Evolving Systems, Journal of Intelligent & Fuzzy Systems, International Journal of Electrical and Computer Engineering (IJECE) and SN Computer Science.
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.