Aaditya Prakash
About
In The Last Decade
Aaditya Prakash
11 papers receiving 212 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 124
- Computer Vision and Pattern Recognition 92
- Molecular Biology 55
- Toxicology 24
- Computational Theory and Mathematics 19
Countries citing papers authored by Aaditya Prakash
This map shows the geographic impact of Aaditya Prakash'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 Aaditya Prakash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaditya Prakash more than expected).
Fields of papers citing papers by Aaditya Prakash
This network shows the impact of papers produced by Aaditya Prakash. 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 Aaditya Prakash. The network helps show where Aaditya Prakash may publish in the future.
Co-authorship network of co-authors of Aaditya Prakash
This figure shows the co-authorship network connecting the top 25 collaborators of Aaditya Prakash. A scholar is included among the top collaborators of Aaditya Prakash 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 Aaditya Prakash. Aaditya Prakash 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 | 1 | |
| 4 | 36 | |
| 5 | 0 | |
| 6 | Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing. | 2 |
| 7 | 65 | |
| 8 | 72 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification. | 0 |
| 12 | Neural Clinical Paraphrase Generation with Attention | 16 |
| 13 | Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph. | 4 |
| 14 | Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity. | 3 |
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.