K. Gopalakrishna Prabhu
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Co-authors
- P. C. SiddalingaswamyKeerthana PrasadSameena PathanP. V. Ananda MohanK.M. PatilJan WinterRaviraja V AcharyaS. Srinivasan
- Topics
- Medical Image Segmentation Techniques (9 papers)Glaucoma and retinal disorders (8 papers)Digital Imaging for Blood Diseases (7 papers)
- Journals
- IEEE AccessComputer Methods and Programs in BiomedicineBiomedical Signal Processing and Control
- Partner nations
- IndiaMalaysiaAntigua and Barbuda
In The Last Decade
K. Gopalakrishna Prabhu
37 papers receiving 685 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 181
- Oncology 180
- Biomedical Engineering 180
- Radiology, Nuclear Medicine and Imaging 179
- Artificial Intelligence 147
Countries citing papers authored by K. Gopalakrishna Prabhu
This map shows the geographic impact of K. Gopalakrishna Prabhu'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 K. Gopalakrishna Prabhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Gopalakrishna Prabhu more than expected).
Fields of papers citing papers by K. Gopalakrishna Prabhu
This network shows the impact of papers produced by K. Gopalakrishna Prabhu. 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 K. Gopalakrishna Prabhu. The network helps show where K. Gopalakrishna Prabhu may publish in the future.
Co-authorship network of co-authors of K. Gopalakrishna Prabhu
This figure shows the co-authorship network connecting the top 25 collaborators of K. Gopalakrishna Prabhu. A scholar is included among the top collaborators of K. Gopalakrishna Prabhu 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 K. Gopalakrishna Prabhu. K. Gopalakrishna Prabhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3D Visualization of Brain CT and MRI Sequence Using VTK | 1 |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Methods and Devices to Determine Hemoglobin Non Invasively: A Review | 4 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 43 | |
| 13 | 23 | |
| 14 | 11 | |
| 15 | 98 | |
| 16 | 48 | |
| 17 | 6 | |
| 18 | 15 | |
| 19 | 15 | |
| 20 | 21 |
About K. Gopalakrishna Prabhu
K. Gopalakrishna Prabhu is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Glaucoma and retinal disorders (8 papers) and Digital Imaging for Blood Diseases (7 papers). The work is most often cited by research in Ophthalmology (107 citations), Computer Vision and Pattern Recognition (181 citations) and Biophysics (50 citations). K. Gopalakrishna Prabhu has collaborated with scholars based in India, Malaysia and Antigua and Barbuda. Frequent co-authors include P. C. Siddalingaswamy, Keerthana Prasad, Sameena Pathan, P. V. Ananda Mohan, K.M. Patil, Jan Winter, Raviraja V Acharya, S. Srinivasan, Rajagopal Kadavigere and Ramesh S. Ve. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Biomedical Signal Processing and Control.
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.