Sharut Gupta

561 total citations
5 papers, 214 citations indexed

About

Sharut Gupta is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sharut Gupta has authored 5 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health Informatics, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sharut Gupta's work include COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Medical Imaging and Analysis (1 paper). Sharut Gupta is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Medical Imaging and Analysis (1 paper). Sharut Gupta collaborates with scholars based in India, United States and Brazil. Sharut Gupta's co-authors include Jayashree Kalpathy–Cramer, Praveer Singh, Ken Chang, Nishanth Arun, Mehak Aggarwal, Matthew Li, Katharina Hoebel, Jay Patel, Mishka Gidwani and Nathan Gaw and has published in prestigious journals such as Expert Systems with Applications, Medicine and Radiographics.

In The Last Decade

Sharut Gupta

4 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sharut Gupta India	4	97	75	49	27	26	5	214
DM Anisuzzaman United States	10	107 1.1×	127 1.7×	24 0.5×	15 0.6×	8 0.3×	19	493
Shengxuan Ding United States	5	59 0.6×	74 1.0×	104 2.1×	21 0.8×	7 0.3×	8	207
Chuan Xu China	5	58 0.6×	76 1.0×	104 2.1×	9 0.3×	6 0.2×	20	284
Iason Katsamenis Greece	9	117 1.2×	70 0.9×	22 0.4×	6 0.2×	11 0.4×	15	249
Nina Wiedemann Switzerland	7	92 0.9×	55 0.7×	25 0.5×	2 0.1×	17 0.7×	24	234
Jordina Torrents‐Barrena Spain	10	112 1.2×	83 1.1×	33 0.7×	2 0.1×	3 0.1×	28	324
Yanning Zhou China	7	68 0.7×	146 1.9×	9 0.2×	9 0.3×	10 0.4×	13	236
May Phu Paing Thailand	12	116 1.2×	83 1.1×	7 0.1×	5 0.2×	11 0.4×	29	283
Fatema Tuj Johora Bangladesh	9	28 0.3×	39 0.5×	3 0.1×	29 1.1×	14 0.5×	25	205
Mücahid Barstuğan Türkiye	8	108 1.1×	83 1.1×	25 0.5×		5 0.2×	24	209

Countries citing papers authored by Sharut Gupta

Since Specialization

Citations

This map shows the geographic impact of Sharut Gupta'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 Sharut Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharut Gupta more than expected).

Fields of papers citing papers by Sharut Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharut Gupta. 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 Sharut Gupta. The network helps show where Sharut Gupta may publish in the future.

Co-authorship network of co-authors of Sharut Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Sharut Gupta. A scholar is included among the top collaborators of Sharut Gupta 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 Sharut Gupta. Sharut Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Wang, Yisen, et al.. (2024). Understanding the Role of Equivariance in Self-supervised Learning. 127483–127510. 1 indexed citations

2.

Gupta, Sharut, et al.. (2023). Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics. 43(4). e220107–e220107. 16 indexed citations

3.

Li, Matthew, Nishanth Arun, Mehak Aggarwal, et al.. (2022). Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine. 101(29). e29587–e29587. 10 indexed citations

4.

Arun, Nishanth, Nathan Gaw, Praveer Singh, et al.. (2021). Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology Artificial Intelligence. 3(6). e200267–e200267. 147 indexed citations

5.

Gupta, Sharut, et al.. (2020). Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning. Expert Systems with Applications. 167. 113855–113855. 40 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.

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