Suguna Pappu
About
In The Last Decade
Suguna Pappu
28 papers receiving 819 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 472
- Aerospace Engineering 318
- Computational Mechanics 141
- Geology 82
- Pulmonary and Respiratory Medicine 72
Countries citing papers authored by Suguna Pappu
This map shows the geographic impact of Suguna Pappu'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 Suguna Pappu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguna Pappu more than expected).
Fields of papers citing papers by Suguna Pappu
This network shows the impact of papers produced by Suguna Pappu. 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 Suguna Pappu. The network helps show where Suguna Pappu may publish in the future.
Co-authorship network of co-authors of Suguna Pappu
This figure shows the co-authorship network connecting the top 25 collaborators of Suguna Pappu. A scholar is included among the top collaborators of Suguna Pappu 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 Suguna Pappu. Suguna Pappu 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 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 52 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | Tubercular nodular episcleritis. | 9 |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 23 | |
| 18 | 122 | |
| 19 | A Framework for Non-rigid Matching and Correspondence | 7 |
| 20 | New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence | 81 |
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.