Rahul G. Krishnan
About
In The Last Decade
Rahul G. Krishnan
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 734
- Information Systems 624
- Computer Vision and Pattern Recognition 340
- Management Science and Operations Research 167
- Radiology, Nuclear Medicine and Imaging 152
Countries citing papers authored by Rahul G. Krishnan
This map shows the geographic impact of Rahul G. Krishnan'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 Rahul G. Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul G. Krishnan more than expected).
Fields of papers citing papers by Rahul G. Krishnan
This network shows the impact of papers produced by Rahul G. Krishnan. 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 Rahul G. Krishnan. The network helps show where Rahul G. Krishnan may publish in the future.
Co-authorship network of co-authors of Rahul G. Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul G. Krishnan. A scholar is included among the top collaborators of Rahul G. Krishnan 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 Rahul G. Krishnan. Rahul G. Krishnan 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning breakdown → | 261 |
| 15 | 10 | |
| 16 | 1 | |
| 17 | Max-margin learning with the Bayes factor | 1 |
| 18 | Variational Autoencoders for Collaborative Filtering breakdown → | 739 |
| 19 | Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics. | 3 |
| 20 | Barrier Frank-Wolfe for marginal inference | 1 |
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.