G. Saranya
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Information Systems top 10%
- Co-authors
- A. PravinG. RamkumarM. SafaG. GeethaK. MeenakshiM. NithyaA. MartinG. K. D. Prasanna Venkatesan
- Topics
- Artificial Intelligence in Healthcare (7 papers)Vehicle License Plate Recognition (5 papers)Brain Tumor Detection and Classification (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaKnowledge-Based SystemsMeasurement
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
G. Saranya
37 papers receiving 392 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 117
- Health Information Management 78
- Computer Vision and Pattern Recognition 67
- Plant Science 61
- Information Systems 46
Countries citing papers authored by G. Saranya
This map shows the geographic impact of G. Saranya'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 G. Saranya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Saranya more than expected).
Fields of papers citing papers by G. Saranya
This network shows the impact of papers produced by G. Saranya. 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 G. Saranya. The network helps show where G. Saranya may publish in the future.
Co-authorship network of co-authors of G. Saranya
This figure shows the co-authorship network connecting the top 25 collaborators of G. Saranya. A scholar is included among the top collaborators of G. Saranya 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 G. Saranya. G. Saranya 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | IoT-based patient monitoring system for predicting heart disease using deep learningbreakdown → | 82 |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Fault detection in Induction motor using WPT and Multiple SVM | 16 |
About G. Saranya
G. Saranya is a scholar working on Health Information Management, Neurology and Media Technology, having authored 48 papers that have together received 436 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Vehicle License Plate Recognition (5 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Health Information Management (78 citations), Health Informatics (10 citations) and Medical Laboratory Technology (6 citations). G. Saranya has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include A. Pravin, G. Ramkumar, M. Safa, G. Geetha, K. Meenakshi, M. Nithya, A. Martin, G. K. D. Prasanna Venkatesan, E.P. Sumesh and S. Sivasankari. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Measurement.
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.