Arjun S. Yadaw
About
In The Last Decade
Arjun S. Yadaw
12 papers receiving 324 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 108
- Numerical Analysis 104
- Radiology, Nuclear Medicine and Imaging 91
- Artificial Intelligence 60
- Computational Theory and Mathematics 50
Countries citing papers authored by Arjun S. Yadaw
This map shows the geographic impact of Arjun S. Yadaw'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 Arjun S. Yadaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun S. Yadaw more than expected).
Fields of papers citing papers by Arjun S. Yadaw
This network shows the impact of papers produced by Arjun S. Yadaw. 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 Arjun S. Yadaw. The network helps show where Arjun S. Yadaw may publish in the future.
Co-authorship network of co-authors of Arjun S. Yadaw
This figure shows the co-authorship network connecting the top 25 collaborators of Arjun S. Yadaw. A scholar is included among the top collaborators of Arjun S. Yadaw 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 Arjun S. Yadaw. Arjun S. Yadaw 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 | 8 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 180 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 38 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 44 |
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.