Murali Krishna Puttagunta
About
In The Last Decade
Murali Krishna Puttagunta
6 papers receiving 223 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 117
- Artificial Intelligence 91
- Computer Vision and Pattern Recognition 54
- Biomedical Engineering 36
- Neurology 28
Countries citing papers authored by Murali Krishna Puttagunta
This map shows the geographic impact of Murali Krishna Puttagunta'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 Krishna Puttagunta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murali Krishna Puttagunta more than expected).
Fields of papers citing papers by Murali Krishna Puttagunta
This network shows the impact of papers produced by Murali Krishna Puttagunta. 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 Krishna Puttagunta. The network helps show where Murali Krishna Puttagunta may publish in the future.
Co-authorship network of co-authors of Murali Krishna Puttagunta
This figure shows the co-authorship network connecting the top 25 collaborators of Murali Krishna Puttagunta. A scholar is included among the top collaborators of Murali Krishna Puttagunta 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 Krishna Puttagunta. Murali Krishna Puttagunta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 11 | |
| 5 | Medical image analysis based on deep learning approach breakdown → | 174 |
| 6 | 14 |
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.