Murali Rao
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yunmei ChenStacey LevineBaba C. VemuriFei WangYu ChenHemant D. TagareSangun ParkDong Wan Shin
- Topics
- Medical Image Segmentation Techniques (8 papers)Image and Object Detection Techniques (5 papers)Numerical methods in inverse problems (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesDenmarkCroatia
In The Last Decade
Murali Rao
59 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Applied Mathematics 1.1k
- Computational Theory and Mathematics 862
- Mathematical Physics 483
- Statistics and Probability 413
- Computer Vision and Pattern Recognition 235
Countries citing papers authored by Murali Rao
This map shows the geographic impact of Murali Rao'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 Murali Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murali Rao more than expected).
Fields of papers citing papers by Murali Rao
This network shows the impact of papers produced by Murali Rao. 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 Murali Rao. The network helps show where Murali Rao may publish in the future.
Co-authorship network of co-authors of Murali Rao
This figure shows the co-authorship network connecting the top 25 collaborators of Murali Rao. A scholar is included among the top collaborators of Murali Rao 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 Murali Rao. Murali Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 51 | |
| 3 | Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on | 2 |
| 4 | 15 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | Complex analysis : an invitation : a concise introduction to complex function theory | 4 |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | Brownian motion and classical potential theory | 13 |
| 19 | 0 | |
| 20 | 7 |
About Murali Rao
Murali Rao is a scholar working on Mathematical Physics, Applied Mathematics and Structural Biology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image and Object Detection Techniques (5 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Computational Theory and Mathematics (862 citations) and Mathematical Physics (483 citations). Murali Rao has collaborated with scholars based in United States, Denmark and Croatia. Frequent co-authors include Yunmei Chen, Stacey Levine, Baba C. Vemuri, Fei Wang, Yu Chen, Hemant D. Tagare, Sangun Park, Dong Wan Shin, Jan Sokołowski and José C. Prı́ncipe. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.