Veena Mayya
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Experimental and Cognitive Psychology top 10%
- Ophthalmology top 5%
- Artificial Intelligence
- Co-authors
- S. Sowmya KamathRadhika M. PaiM. M. Manohara PaiU. Rajendra AcharyaShubham AgrawalGokul KrishnanJayakumar JeganathanPreetham Kumar
- Topics
- Retinal Imaging and Analysis (9 papers)Retinal Diseases and Treatments (6 papers)Machine Learning in Healthcare (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFuture Generation Computer Systems
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Veena Mayya
27 papers receiving 355 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 166
- Radiology, Nuclear Medicine and Imaging 148
- Experimental and Cognitive Psychology 83
- Ophthalmology 71
- Artificial Intelligence 67
Countries citing papers authored by Veena Mayya
This map shows the geographic impact of Veena Mayya'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 Veena Mayya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Mayya more than expected).
Fields of papers citing papers by Veena Mayya
This network shows the impact of papers produced by Veena Mayya. 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 Veena Mayya. The network helps show where Veena Mayya may publish in the future.
Co-authorship network of co-authors of Veena Mayya
This figure shows the co-authorship network connecting the top 25 collaborators of Veena Mayya. A scholar is included among the top collaborators of Veena Mayya 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 Veena Mayya. Veena Mayya 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 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 40 | |
| 16 | 45 | |
| 17 | 17 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 37 |
About Veena Mayya
Veena Mayya is a scholar working on Ophthalmology, Health Information Management and Health Informatics, having authored 32 papers that have together received 374 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (166 citations) and Ophthalmology (71 citations). Veena Mayya has collaborated with scholars based in India, United States and Australia. Frequent co-authors include S. Sowmya Kamath, Radhika M. Pai, M. M. Manohara Pai, U. Rajendra Acharya, Shubham Agrawal, Gokul Krishnan, Jayakumar Jeganathan, Preetham Kumar, Prabal Datta Barua and Christian King. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.
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.