Meenu Gupta

337 total papers · 2.5k total citations
173 papers, 1.2k citations indexed

About

Meenu Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Meenu Gupta has authored 173 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Meenu Gupta's work include COVID-19 diagnosis using AI (17 papers), AI in cancer detection (14 papers) and Brain Tumor Detection and Classification (12 papers). Meenu Gupta is often cited by papers focused on COVID-19 diagnosis using AI (17 papers), AI in cancer detection (14 papers) and Brain Tumor Detection and Classification (12 papers). Meenu Gupta collaborates with scholars based in India, Iraq and United States. Meenu Gupta's co-authors include Rachna Jain, Soham Taneja, D. Jude Hemanth, Rakesh Kumar, Gopal Chaudhary, Vishal Gupta, Ahmed J. Obaid, Rakesh Kumar, Jafar A. Alzubi and Pritee Parwekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Meenu Gupta

136 papers receiving 1.1k citations

Hit Papers

Deep learning based detec... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Meenu Gupta 459 450 218 131 83 173 1.2k
Abdul Khader Jilani Saudagar 437 1.0× 229 0.5× 232 1.1× 110 0.8× 53 0.6× 106 1.1k
Srikanth Prabhu 303 0.7× 291 0.6× 231 1.1× 91 0.7× 98 1.2× 90 1.1k
Anisur Rahman 471 1.0× 321 0.7× 140 0.6× 97 0.7× 52 0.6× 114 1.4k
Norah Saleh Alghamdi 427 0.9× 356 0.8× 232 1.1× 171 1.3× 44 0.5× 104 1.2k
M. Rubaiyat Hossain Mondal 509 1.1× 301 0.7× 120 0.6× 116 0.9× 84 1.0× 75 1.2k
Prajoy Podder 454 1.0× 293 0.7× 139 0.6× 96 0.7× 90 1.1× 53 1.2k
Alhadi Bustamam 426 0.9× 372 0.8× 242 1.1× 104 0.8× 69 0.8× 142 1.2k
Saleh Albahli 393 0.9× 374 0.8× 265 1.2× 91 0.7× 50 0.6× 74 1.3k
T R Mahesh 546 1.2× 301 0.7× 227 1.0× 149 1.1× 183 2.2× 173 1.5k
Shtwai Alsubai 479 1.0× 230 0.5× 345 1.6× 91 0.7× 112 1.3× 179 1.4k

Countries citing papers authored by Meenu Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Meenu Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meenu Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Meenu Gupta. A scholar is included among the top collaborators of Meenu 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 Meenu Gupta. Meenu 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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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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