M. Ramakrishna Murty
About
In The Last Decade
M. Ramakrishna Murty
7 papers receiving 100 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 72
- Information Systems 28
- Computer Vision and Pattern Recognition 13
- Signal Processing 11
- Computer Networks and Communications 9
Countries citing papers authored by M. Ramakrishna Murty
This map shows the geographic impact of M. Ramakrishna Murty'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 M. Ramakrishna Murty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ramakrishna Murty more than expected).
Fields of papers citing papers by M. Ramakrishna Murty
This network shows the impact of papers produced by M. Ramakrishna Murty. 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 M. Ramakrishna Murty. The network helps show where M. Ramakrishna Murty may publish in the future.
Co-authorship network of co-authors of M. Ramakrishna Murty
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ramakrishna Murty. A scholar is included among the top collaborators of M. Ramakrishna Murty 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 M. Ramakrishna Murty. M. Ramakrishna Murty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | Simulated annealing for selecting optimal initial seeds in the K-means algorithm | 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.