R Lavanya
- Artificial Intelligence
- Cognitive Neuroscience
- Cardiology and Cardiovascular Medicine
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- M. GanesanD. VijayanM. Nirmala DeviS. PraveenaS. VivekanandanArunkumar JayakumarS. LalithaSubash Dhar
- Topics
- Retinal Imaging and Analysis (13 papers)AI in cancer detection (13 papers)Digital Imaging for Blood Diseases (9 papers)
In The Last Decade
R Lavanya
53 papers receiving 273 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 84
- Cognitive Neuroscience 82
- Cardiology and Cardiovascular Medicine 73
- Computer Vision and Pattern Recognition 68
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by R Lavanya
This map shows the geographic impact of R Lavanya'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 R Lavanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Lavanya more than expected).
Fields of papers citing papers by R Lavanya
This network shows the impact of papers produced by R Lavanya. 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 R Lavanya. The network helps show where R Lavanya may publish in the future.
Co-authorship network of co-authors of R Lavanya
This figure shows the co-authorship network connecting the top 25 collaborators of R Lavanya. A scholar is included among the top collaborators of R Lavanya 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 R Lavanya. R Lavanya 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 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | Accident Prevention By Eye-Gaze Tracking Using Imaging Constraints | 1 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | Prescribing Pattern of Anticancer Drugs in a MedicalOncology Department of a Tertiary Care TeachingHospital | 4 |
| 16 | 16 | |
| 17 | Change Detection In Mammogram Images Using Fuzzy C- Means Clustering | 1 |
| 18 | False positive reduction in computer aided detection of mammographic masses using canonical correlation analysis | 6 |
| 19 | 1 | |
| 20 | 1 |
About R Lavanya
R Lavanya is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 292 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), AI in cancer detection (13 papers) and Digital Imaging for Blood Diseases (9 papers). The work is most often cited by research in Cognitive Neuroscience (82 citations), Health Information Management (16 citations) and Computer Vision and Pattern Recognition (68 citations). R Lavanya has collaborated with scholars based in India, Oman and Spain. Frequent co-authors include M. Ganesan, D. Vijayan, M. Nirmala Devi, S. Praveena, S. Vivekanandan, Arunkumar Jayakumar, S. Lalitha, Subash Dhar, Shikha Tripathi and Raúl Benítez. Their work appears in journals such as Image and Vision Computing, Computers in Biology and Medicine 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.