Rajeev Gandhi
About
In The Last Decade
Rajeev Gandhi
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 839
- Information Systems 566
- Artificial Intelligence 213
- Computer Vision and Pattern Recognition 127
- Surgery 118
Countries citing papers authored by Rajeev Gandhi
This map shows the geographic impact of Rajeev Gandhi'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 Rajeev Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Gandhi more than expected).
Fields of papers citing papers by Rajeev Gandhi
This network shows the impact of papers produced by Rajeev Gandhi. 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 Rajeev Gandhi. The network helps show where Rajeev Gandhi may publish in the future.
Co-authorship network of co-authors of Rajeev Gandhi
This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Gandhi. A scholar is included among the top collaborators of Rajeev Gandhi 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 Rajeev Gandhi. Rajeev Gandhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | PCFIRE: Towards provable preventative Control-Flow Integrity enforcement for realistic embedded software | 3 |
| 10 | 88 | |
| 11 | YinzCam: experiences with in-venue mobile video and replays | 3 |
| 12 | 112 | |
| 13 | To Auto Scale or Not to Auto Scale | 14 |
| 14 | Theia: Visual Signatures for Problem Diagnosis in Large Hadoop Clusters. | 5 |
| 15 | 15 | |
| 16 | 36 | |
| 17 | Behavior-based problem localization for parallel file systems | 3 |
| 18 | Effect of Different Particle Sizes of Jaggery Powder on Storability | 11 |
| 19 | ASDF: An Automated, Online Framework for Diagnosing Performance Problems. | 1 |
| 20 | Fingerpointing correlated failures in replicated systems | 13 |
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.