Subrahmanyam Murala
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Co-authors
- R. P. MaheshwariBalasubramanian RamanQ. M. Jonathan WuAkshay DudhanePrashant W. PatilPraful HambardeAnil Balaji GondeAbhinav Dhall
- Topics
- Image Enhancement Techniques (33 papers)Advanced Image and Video Retrieval Techniques (30 papers)Advanced Image Processing Techniques (29 papers)
In The Last Decade
Subrahmanyam Murala
92 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 2.8k
- Media Technology 768
- Artificial Intelligence 275
- Radiology, Nuclear Medicine and Imaging 145
- Neurology 132
Countries citing papers authored by Subrahmanyam Murala
This map shows the geographic impact of Subrahmanyam Murala'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 Subrahmanyam Murala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrahmanyam Murala more than expected).
Fields of papers citing papers by Subrahmanyam Murala
This network shows the impact of papers produced by Subrahmanyam Murala. 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 Subrahmanyam Murala. The network helps show where Subrahmanyam Murala may publish in the future.
Co-authorship network of co-authors of Subrahmanyam Murala
This figure shows the co-authorship network connecting the top 25 collaborators of Subrahmanyam Murala. A scholar is included among the top collaborators of Subrahmanyam Murala 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 Subrahmanyam Murala. Subrahmanyam Murala 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 25 | |
| 10 | 39 | |
| 11 | 21 | |
| 12 | 62 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 78 | |
| 16 | 164 | |
| 17 | 17 | |
| 18 | 125 | |
| 19 | Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrievalbreakdown → | 497 |
| 20 | 8 |
About Subrahmanyam Murala
Subrahmanyam Murala is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation, having authored 97 papers that have together received 3.0k indexed citations. Recurring topics across this work include Image Enhancement Techniques (33 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Advanced Image Processing Techniques (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (768 citations) and Neurology (132 citations). Subrahmanyam Murala has collaborated with scholars based in India, Ireland and Australia. Frequent co-authors include R. P. Maheshwari, Balasubramanian Raman, Q. M. Jonathan Wu, Akshay Dudhane, Prashant W. Patil, Praful Hambarde, Anil Balaji Gonde, Abhinav Dhall, Santosh Kumar Vipparthi and Manisha Verma. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.
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.