Ananth Raghunathan
About
In The Last Decade
Ananth Raghunathan
7 papers receiving 299 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 280
- Information Systems 67
- Computer Vision and Pattern Recognition 52
- Computer Networks and Communications 34
- Computational Theory and Mathematics 28
Countries citing papers authored by Ananth Raghunathan
This map shows the geographic impact of Ananth Raghunathan'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 Ananth Raghunathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananth Raghunathan more than expected).
Fields of papers citing papers by Ananth Raghunathan
This network shows the impact of papers produced by Ananth Raghunathan. 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 Ananth Raghunathan. The network helps show where Ananth Raghunathan may publish in the future.
Co-authorship network of co-authors of Ananth Raghunathan
This figure shows the co-authorship network connecting the top 25 collaborators of Ananth Raghunathan. A scholar is included among the top collaborators of Ananth Raghunathan 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 Ananth Raghunathan. Ananth Raghunathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | Protecting accounts from credential stuffing with password breach alerting | 23 |
| 3 | Scalable Private Learning with PATE | 22 |
| 4 | 2 | |
| 5 | 133 | |
| 6 | 13 | |
| 7 | 2 |
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.