J. Subba Rao
About
In The Last Decade
J. Subba Rao
28 papers receiving 400 citations
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 134
- Nuclear and High Energy Physics 117
- Computer Networks and Communications 90
- Molecular Biology 88
- Endocrinology, Diabetes and Metabolism 36
Countries citing papers authored by J. Subba Rao
This map shows the geographic impact of J. Subba 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 J. Subba Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Subba Rao more than expected).
Fields of papers citing papers by J. Subba Rao
This network shows the impact of papers produced by J. Subba 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 J. Subba Rao. The network helps show where J. Subba Rao may publish in the future.
Co-authorship network of co-authors of J. Subba Rao
This figure shows the co-authorship network connecting the top 25 collaborators of J. Subba Rao. A scholar is included among the top collaborators of J. Subba 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 J. Subba Rao. J. Subba 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 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 8 | |
| 12 | 116 | |
| 13 | 29 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 5 |
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.