Dhruvil Shah
About
In The Last Decade
Dhruvil Shah
16 papers receiving 312 citations
Peers
Comparison fields: 5 of 84
- Plant Science 81
- Pulmonary and Respiratory Medicine 73
- Oncology 60
- Information Systems 55
- Artificial Intelligence 32
Countries citing papers authored by Dhruvil Shah
This map shows the geographic impact of Dhruvil Shah'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 Dhruvil Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhruvil Shah more than expected).
Fields of papers citing papers by Dhruvil Shah
This network shows the impact of papers produced by Dhruvil Shah. 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 Dhruvil Shah. The network helps show where Dhruvil Shah may publish in the future.
Co-authorship network of co-authors of Dhruvil Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Dhruvil Shah. A scholar is included among the top collaborators of Dhruvil Shah 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 Dhruvil Shah. Dhruvil Shah 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 61 | |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | 74 | |
| 17 | IPV4-IPV6 Transition Issues Study on Handling Multiple Responses in Dual-Stack | 0 |
| 18 | Complete pathologic response to neoadjuvant radiotherapy is predictive of oncological outcome in patients with soft tissue sarcoma. | 53 |
| 19 | 21 |
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.