Nilamani Bhoi
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Ophthalmology top 5%
- Media Technology top 5%
- Artificial Intelligence
- Topics
- Digital Imaging for Blood Diseases (9 papers)Retinal Imaging and Analysis (9 papers)Glaucoma and retinal disorders (8 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaComputers & Electrical EngineeringEngineering Science and Technology an International Journal
- Partner nations
- India
In The Last Decade
Nilamani Bhoi
27 papers receiving 302 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 197
- Radiology, Nuclear Medicine and Imaging 155
- Ophthalmology 107
- Media Technology 56
- Artificial Intelligence 40
Countries citing papers authored by Nilamani Bhoi
This map shows the geographic impact of Nilamani Bhoi'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 Nilamani Bhoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilamani Bhoi more than expected).
Fields of papers citing papers by Nilamani Bhoi
This network shows the impact of papers produced by Nilamani Bhoi. 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 Nilamani Bhoi. The network helps show where Nilamani Bhoi may publish in the future.
Co-authorship network of co-authors of Nilamani Bhoi
This figure shows the co-authorship network connecting the top 25 collaborators of Nilamani Bhoi. A scholar is included among the top collaborators of Nilamani Bhoi 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 Nilamani Bhoi. Nilamani Bhoi 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 | Object Detection and Tracking using Watershed Segmentation and KLT Tracker | 2 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation | 1 |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 27 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 26 | |
| 20 | 7 |
About Nilamani Bhoi
Nilamani Bhoi is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Media Technology, having authored 28 papers that have together received 332 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), Retinal Imaging and Analysis (9 papers) and Glaucoma and retinal disorders (8 papers). The work is most often cited by research in Ophthalmology (107 citations), Computer Vision and Pattern Recognition (197 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Nilamani Bhoi has collaborated with scholars based in India. Frequent co-authors include Priyadarsan Parida, Mihir Narayan Mohanty and Sukadev Meher. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Electrical Engineering and Engineering Science and Technology an International Journal.
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.