Mehul Gupta

404 citations
7 papers · 202 indexed · 1 hit paper · h-index 5
Topics
Artificial Intelligence in Healthcare and Education (3 papers)COVID-19 diagnosis using AI (2 papers)Meta-analysis and systematic reviews (1 paper)
Journals
SHILAP Revista de lepidopterologíaJournal of neurosurgeryJournal of Medical Internet Research
Partner nations
CanadaAustriaGermany

In The Last Decade

Mehul Gupta

7 papers receiving 198 citations

Hit Papers

Assessing the research landscape and clinical utility of ...2024202620252024255075

Peers

Mehul Gupta
Comparison fields: 5 of 59
  • Health Informatics 109
  • Artificial Intelligence 93
  • Radiology, Nuclear Medicine and Imaging 42
  • Statistics, Probability and Uncertainty 30
  • Molecular Biology 18
Replace Eddie Guo with:
Eddie Guo Canada
Ye‐Jean Park Canada
Yeganeh Madadi United States
Ziyang Xu United States
Syed Ali Haider United States
Liyan Tang United States
Mohammad Delsoz United States
Sophia M. Pressman United States
Cesar A. Gomez-Cabello United States
Isabella C. Wiest Germany
Mehul Gupta relative to Eddie Guo Canada Eddie Guo's profile →
Citations per field
00.5×1.5×
Eddie Guo · 1×
Citations per year

Countries citing papers authored by Mehul Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Mehul Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehul Gupta

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2
Assessing the research landscape and clinical utility of large language models: a scoping reviewbreakdown →
85
3 81
4 15
5 1
6 4
7 14

About Mehul Gupta

Mehul Gupta is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 202 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 diagnosis using AI (2 papers) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Health Informatics (109 citations), Family Practice (12 citations) and Statistics, Probability and Uncertainty (30 citations). Mehul Gupta has collaborated with scholars based in Canada, Austria and Germany. Frequent co-authors include Eddie Guo, Christopher Naugler, Ye‐Jean Park, Jiawen Deng, Mike Paget, Gwynedd E. Pickett, Marcos Tatagiba, Philip E. Stieg, Sarthak Sinha and Karl Rössler. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Journal of Medical Internet Research.

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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