Aditya Kusupati
About
In The Last Decade
Aditya Kusupati
9 papers receiving 42 citations
Peers
Comparison fields: 5 of 28
- Computer Vision and Pattern Recognition 19
- Signal Processing 13
- Cognitive Neuroscience 12
- Artificial Intelligence 12
- Human-Computer Interaction 7
Countries citing papers authored by Aditya Kusupati
This map shows the geographic impact of Aditya Kusupati'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 Aditya Kusupati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Kusupati more than expected).
Fields of papers citing papers by Aditya Kusupati
This network shows the impact of papers produced by Aditya Kusupati. 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 Aditya Kusupati. The network helps show where Aditya Kusupati may publish in the future.
Co-authorship network of co-authors of Aditya Kusupati
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Kusupati. A scholar is included among the top collaborators of Aditya Kusupati 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 Aditya Kusupati. Aditya Kusupati 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 6 | |
| 8 | In the Wild: From ML Models to Pragmatic ML Systems | 2 |
| 9 | 4 | |
| 10 | Soft Threshold Weight Reparameterization for Learnable Sparsity | 3 |
| 11 | 3 | |
| 12 | 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.