V. N. Manjunath Aradhya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- G. Hemantha KumarNoushath ShaffiD. S. GuruH L GururajFrancesco FlamminiMufti MahmudM. Shamim KaiserS. V. Aruna Kumar
- Topics
- Handwritten Text Recognition Techniques (24 papers)Image Retrieval and Classification Techniques (19 papers)Vehicle License Plate Recognition (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEngineering Applications of Artificial Intelligence
- Partner nations
- IndiaSingaporeBangladesh
In The Last Decade
V. N. Manjunath Aradhya
41 papers receiving 386 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 153
- Media Technology 107
- Oncology 68
- Radiology, Nuclear Medicine and Imaging 59
Countries citing papers authored by V. N. Manjunath Aradhya
This map shows the geographic impact of V. N. Manjunath Aradhya'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 V. N. Manjunath Aradhya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. N. Manjunath Aradhya more than expected).
Fields of papers citing papers by V. N. Manjunath Aradhya
This network shows the impact of papers produced by V. N. Manjunath Aradhya. 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 V. N. Manjunath Aradhya. The network helps show where V. N. Manjunath Aradhya may publish in the future.
Co-authorship network of co-authors of V. N. Manjunath Aradhya
This figure shows the co-authorship network connecting the top 25 collaborators of V. N. Manjunath Aradhya. A scholar is included among the top collaborators of V. N. Manjunath Aradhya 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 V. N. Manjunath Aradhya. V. N. Manjunath Aradhya 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 | 43 | |
| 5 | 37 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | An Efficient Metric for Evaluating the Quality of Color Image Enhancement. | 1 |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 3 |
About V. N. Manjunath Aradhya
V. N. Manjunath Aradhya is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 51 papers that have together received 431 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (24 papers), Image Retrieval and Classification Techniques (19 papers) and Vehicle License Plate Recognition (14 papers). The work is most often cited by research in Media Technology (107 citations), Computer Vision and Pattern Recognition (229 citations) and Health Informatics (9 citations). V. N. Manjunath Aradhya has collaborated with scholars based in India, Singapore and Bangladesh. Frequent co-authors include G. Hemantha Kumar, Noushath Shaffi, D. S. Guru, H L Gururaj, Francesco Flammini, Mufti Mahmud, M. Shamim Kaiser, S. V. Aruna Kumar, Basant Agarwal and B. S. Harish. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Engineering Applications of Artificial Intelligence.
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.