K Sangeetha
- Computer Vision and Pattern Recognition
- Information Systems
- Industrial and Manufacturing Engineering
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- S. SudhaMallika SridharAjay KumarManjunathan AlagarsamyS. KarthikS. SreejaSai Krishna GudiSanjay Saxena
- Topics
- IoT and GPS-based Vehicle Safety Systems (9 papers)IoT-based Smart Home Systems (7 papers)Smart Agriculture and AI (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringApplied Microbiology and BiotechnologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaBiochemical PharmacologyMaterials Today Proceedings
In The Last Decade
K Sangeetha
48 papers receiving 167 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 39
- Information Systems 34
- Industrial and Manufacturing Engineering 31
- Artificial Intelligence 29
- Mechanical Engineering 20
Countries citing papers authored by K Sangeetha
This map shows the geographic impact of K Sangeetha'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 Sangeetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Sangeetha more than expected).
Fields of papers citing papers by K Sangeetha
This network shows the impact of papers produced by K Sangeetha. 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 Sangeetha. The network helps show where K Sangeetha may publish in the future.
Co-authorship network of co-authors of K Sangeetha
This figure shows the co-authorship network connecting the top 25 collaborators of K Sangeetha. A scholar is included among the top collaborators of K Sangeetha 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 Sangeetha. K Sangeetha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | Herbal finishing for anti-bacterial property with Chromolaena odorata herb | 2 |
| 14 | 53 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Document Image Binarization Using Post Processing Method | 1 |
| 19 | Combined Structure and Texture Image Inpainting Algorithm for Natural Scene Image Completion | 5 |
| 20 | 2 |
About K Sangeetha
K Sangeetha is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 69 papers that have together received 210 indexed citations. Recurring topics across this work include IoT and GPS-based Vehicle Safety Systems (9 papers), IoT-based Smart Home Systems (7 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (31 citations), Applied Microbiology and Biotechnology (4 citations) and Computer Vision and Pattern Recognition (39 citations). K Sangeetha has collaborated with scholars based in India, Guyana and Nigeria. Frequent co-authors include S. Sudha, Mallika Sridhar, Ajay Kumar, Manjunathan Alagarsamy, S. Karthik, S. Sreeja, Sai Krishna Gudi, Sanjay Saxena, R. Amutha and Md. Mahmudul Hasan. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical Pharmacology and Materials Today Proceedings.
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.