Aditya Rawal
About
In The Last Decade
Aditya Rawal
8 papers receiving 94 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 67
- Sociology and Political Science 19
- Computer Vision and Pattern Recognition 16
- Genetics 13
- Cognitive Neuroscience 7
Countries citing papers authored by Aditya Rawal
This map shows the geographic impact of Aditya Rawal'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 Rawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Rawal more than expected).
Fields of papers citing papers by Aditya Rawal
This network shows the impact of papers produced by Aditya Rawal. 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 Rawal. The network helps show where Aditya Rawal may publish in the future.
Co-authorship network of co-authors of Aditya Rawal
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Rawal. A scholar is included among the top collaborators of Aditya Rawal 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 Rawal. Aditya Rawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data | 7 |
| 4 | 25 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 34 | |
| 8 | 5 |
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.