Ajay N. Jain
About
In The Last Decade
Ajay N. Jain
110 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 5.4k
- Computational Theory and Mathematics 3.0k
- Genetics 1.5k
- Oncology 1.1k
- Organic Chemistry 1.0k
Countries citing papers authored by Ajay N. Jain
This map shows the geographic impact of Ajay N. Jain'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 Ajay N. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay N. Jain more than expected).
Fields of papers citing papers by Ajay N. Jain
This network shows the impact of papers produced by Ajay N. Jain. 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 Ajay N. Jain. The network helps show where Ajay N. Jain may publish in the future.
Co-authorship network of co-authors of Ajay N. Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay N. Jain. A scholar is included among the top collaborators of Ajay N. Jain 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 Ajay N. Jain. Ajay N. Jain 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 | 6 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | Locally Masked Convolution for Autoregressive Models | 1 |
| 11 | Sparse Graphical Memory for Robust Planning | 2 |
| 12 | 271 | |
| 13 | Surflex-Dock 2.1: Robust performance from ligand energetic modeling, ring flexibility, and knowledge-based search breakdown → | 514 |
| 14 | 65 | |
| 15 | Scoring noncovalent protein-ligand interactions: A continuous differentiable function tuned to compute binding affinities breakdown → | 511 |
| 16 | 71 | |
| 17 | Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture | 5 |
| 18 | JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques | 6 |
| 19 | Incremental Parsing by Modular Recurrent Connectionist Networks | 12 |
| 20 | A Connectionist Parser Aimed at Spoken Language | 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.