Suhana Bedi
About
In The Last Decade
Suhana Bedi
6 papers receiving 171 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 91
- Artificial Intelligence 68
- Radiology, Nuclear Medicine and Imaging 38
- Molecular Biology 20
- Family Practice 13
Countries citing papers authored by Suhana Bedi
This map shows the geographic impact of Suhana Bedi'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 Suhana Bedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhana Bedi more than expected).
Fields of papers citing papers by Suhana Bedi
This network shows the impact of papers produced by Suhana Bedi. 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 Suhana Bedi. The network helps show where Suhana Bedi may publish in the future.
Co-authorship network of co-authors of Suhana Bedi
This figure shows the co-authorship network connecting the top 25 collaborators of Suhana Bedi. A scholar is included among the top collaborators of Suhana Bedi 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 Suhana Bedi. Suhana Bedi 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 | 3 | |
| 3 | 16 | |
| 4 | Testing and Evaluation of Health Care Applications of Large Language Models breakdown → | 137 |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 12 |
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.