Ankit Singh Rawat
About
In The Last Decade
Ankit Singh Rawat
62 papers receiving 964 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 687
- Artificial Intelligence 392
- Electrical and Electronic Engineering 198
- Computational Theory and Mathematics 133
- Control and Systems Engineering 57
Countries citing papers authored by Ankit Singh Rawat
This map shows the geographic impact of Ankit Singh Rawat'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 Ankit Singh Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Singh Rawat more than expected).
Fields of papers citing papers by Ankit Singh Rawat
This network shows the impact of papers produced by Ankit Singh Rawat. 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 Ankit Singh Rawat. The network helps show where Ankit Singh Rawat may publish in the future.
Co-authorship network of co-authors of Ankit Singh Rawat
This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Singh Rawat. A scholar is included among the top collaborators of Ankit Singh Rawat 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 Ankit Singh Rawat. Ankit Singh Rawat 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 | 22 | |
| 5 | A statistical perspective on distillation | 5 |
| 6 | 2 | |
| 7 | RankDistil: Knowledge Distillation for Ranking | 4 |
| 8 | Can gradient clipping mitigate label noise | 28 |
| 9 | Federated Learning with Only Positive Labels | 1 |
| 10 | 2 | |
| 11 | Multilabel reductions: what is my loss optimising? | 9 |
| 12 | The PhaseLift for Non-quadratic Gaussian Measurements | 3 |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Associative memory via a sparse recovery model | 1 |
| 17 | 3 | |
| 18 | 110 | |
| 19 | Adversarial Error Resilience in Distributed Storage Using MRD Codes and MDS Array Codes | 2 |
| 20 | 11 |
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.