Prashant Shah
About
In The Last Decade
Prashant Shah
4 papers receiving 79 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 58
- Radiology, Nuclear Medicine and Imaging 18
- Neurology 10
- Health Informatics 9
- Information Systems 7
Countries citing papers authored by Prashant Shah
This map shows the geographic impact of Prashant 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 Prashant Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Shah more than expected).
Fields of papers citing papers by Prashant Shah
This network shows the impact of papers produced by Prashant 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 Prashant Shah. The network helps show where Prashant Shah may publish in the future.
Co-authorship network of co-authors of Prashant Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Shah. A scholar is included among the top collaborators of Prashant 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 Prashant Shah. Prashant Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Optimization of deep learning models for inference in low resource environments | Computers in Biology and Medicine | Siddhesh Thakur, Sarthak Pati et al. | 0 |
| 2 | Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments | Lecture notes in computer science | Siddhesh Thakur, Sarthak Pati et al. | 5 |
| 3 | OpenFL: the open federated learning library | Physics in Medicine and Biology | Patrick Foley, Micah Sheller et al. | 56 |
| 4 | The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research | Physics in Medicine and Biology | Sarthak Pati, Ujjwal Baid et al. | 17 |
| 5 | NIMG-25. OPTIMIZATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS FOR LOW-RESOURCE/CLINICAL ENVIRONMENTS: FOCUS ON CLINICALLY-RELEVANT GLIOMA REGION DELINEATION | Neuro-Oncology | Siddhesh Thakur, Sarthak Pati et al. | 1 |
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.