K. Suganya Devi
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Analytical Chemistry top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- P. SrinivasanP. GaneshkumarN. MalmuruganA. MuruganNaresh Babu MuppalaneniR. SivakumarLaiphrakpam Dolendro SinghRashmi Murthy
- Topics
- Digital Imaging for Blood Diseases (8 papers)Smart Agriculture and AI (8 papers)Video Surveillance and Tracking Methods (6 papers)
In The Last Decade
K. Suganya Devi
47 papers receiving 460 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 165
- Plant Science 156
- Analytical Chemistry 71
- Artificial Intelligence 57
- Electrical and Electronic Engineering 53
Countries citing papers authored by K. Suganya Devi
This map shows the geographic impact of K. Suganya Devi'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 K. Suganya Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Suganya Devi more than expected).
Fields of papers citing papers by K. Suganya Devi
This network shows the impact of papers produced by K. Suganya Devi. 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 K. Suganya Devi. The network helps show where K. Suganya Devi may publish in the future.
Co-authorship network of co-authors of K. Suganya Devi
This figure shows the co-authorship network connecting the top 25 collaborators of K. Suganya Devi. A scholar is included among the top collaborators of K. Suganya Devi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Suganya Devi. K. Suganya Devi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 19 | |
| 14 | 24 | |
| 15 | 7 | |
| 16 | Efficient Technique for Removal of White and Mixed Noises in Gray Scale Images | 3 |
| 17 | 1 | |
| 18 | Object Motion Detection in Video Frames Using Background Frame Matching | 7 |
| 19 | EFFICIENT FOREGROUND EXTRACTION BASED ON OPTICAL FLOW AND SMED FOR ROAD TRAFFIC ANALYSIS | 10 |
| 20 | 3 |
About K. Suganya Devi
K. Suganya Devi is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 53 papers that have together received 489 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), Smart Agriculture and AI (8 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Analytical Chemistry (71 citations) and Computational Mathematics (4 citations). K. Suganya Devi has collaborated with scholars based in India and Ethiopia. Frequent co-authors include P. Srinivasan, P. Ganeshkumar, N. Malmurugan, A. Murugan, Naresh Babu Muppalaneni, R. Sivakumar, Laiphrakpam Dolendro Singh, Rashmi Murthy, Devi Prasad Mohapatra and Himanshi Singh. Their work appears in journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and Survey of Ophthalmology.
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.