Advait Balaji
About
In The Last Decade
Advait Balaji
13 papers receiving 296 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 188
- Artificial Intelligence 40
- Plant Science 33
- Cognitive Neuroscience 24
- Genetics 23
Countries citing papers authored by Advait Balaji
This map shows the geographic impact of Advait Balaji'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 Advait Balaji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Advait Balaji more than expected).
Fields of papers citing papers by Advait Balaji
This network shows the impact of papers produced by Advait Balaji. 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 Advait Balaji. The network helps show where Advait Balaji may publish in the future.
Co-authorship network of co-authors of Advait Balaji
This figure shows the co-authorship network connecting the top 25 collaborators of Advait Balaji. A scholar is included among the top collaborators of Advait Balaji 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 Advait Balaji. Advait Balaji 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 | 5 | |
| 4 | Current progress and open challenges for applying deep learning across the biosciences breakdown → | 171 |
| 5 | 27 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 13 | |
| 14 | 25 |
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.