Prashant Shah

698 total citations
5 papers, 79 citations indexed

About

Prashant Shah is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Neurology. According to data from OpenAlex, Prashant Shah has authored 5 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Neurology. Recurrent topics in Prashant Shah's work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (2 papers) and Brain Tumor Detection and Classification (2 papers). Prashant Shah is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (2 papers) and Brain Tumor Detection and Classification (2 papers). Prashant Shah collaborates with scholars based in United States, Germany and Switzerland. Prashant Shah's co-authors include Spyridon Bakas, Sarthak Pati, Micah Sheller, Brandon Edwards, Patrick Foley, Jason Martin, Parsa Mirhaji, Chiharu Sako, Siddhesh Thakur and G. Anthony Reina and has published in prestigious journals such as Physics in Medicine and Biology, Neuro-Oncology and Computers in Biology and Medicine.

In The Last Decade

Prashant Shah

4 papers receiving 79 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Prashant Shah United States	3	58	18	10	9	7	5	79
Anandbabu Gopatoti India	6	38 0.7×	47 2.6×	7 0.7×	5 0.6×	7 1.0×	23	115
Biraja Ghoshal United Kingdom	4	45 0.8×	33 1.8×	4 0.4×	8 0.9×	3 0.4×	5	83
Suhaila Abuowaida Jordan	6	29 0.5×	13 0.7×	25 2.5×	2 0.2×	12 1.7×	29	87
Leonardo O. Iheme Türkiye	5	54 0.9×	26 1.4×	11 1.1×	2 0.2×	3 0.4×	13	82
Yuanhan Mo United Kingdom	4	28 0.5×	6 0.3×	4 0.4×	4 0.4×	7 1.0×	7	91
Mohammad Al Sa’d United Kingdom	3	28 0.5×	14 0.8×	15 1.5×	5 0.6×	5 0.7×	4	58
Chicheng Zhang United States	5	66 1.1×	9 0.5×	2 0.2×	4 0.4×	2 0.3×	16	82
Abhishek Singh India	5	93 1.6×	4 0.2×	3 0.3×	8 0.9×	13 1.9×	16	140

Countries citing papers authored by Prashant Shah

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2025). Optimization of deep learning models for inference in low resource environments. Computers in Biology and Medicine. 196(Pt B). 110615–110615.

2.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2022). Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments. Lecture notes in computer science. 12962. 151–167. 5 indexed citations

3.

Foley, Patrick, Micah Sheller, Brandon Edwards, et al.. (2022). OpenFL: the open federated learning library. Physics in Medicine and Biology. 67(21). 214001–214001. 56 indexed citations

4.

Pati, Sarthak, Ujjwal Baid, Brandon Edwards, et al.. (2022). The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research. Physics in Medicine and Biology. 67(20). 204002–204002. 17 indexed citations

5.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2022). NIMG-25. OPTIMIZATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS FOR LOW-RESOURCE/CLINICAL ENVIRONMENTS: FOCUS ON CLINICALLY-RELEVANT GLIOMA REGION DELINEATION. Neuro-Oncology. 24(Supplement_7). vii167–vii167. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anandbabu Gopatoti Breakdown of academic impact, for papers by Biraja Ghoshal Breakdown of academic impact, for papers by Suhaila Abuowaida Breakdown of academic impact, for papers by Leonardo O. Iheme Breakdown of academic impact, for papers by Yuanhan Mo Breakdown of academic impact, for papers by Mohammad Al Sa’d Breakdown of academic impact, for papers by Chicheng Zhang Breakdown of academic impact, for papers by Abhishek Singh