Mudit Jain

840 total citations
4 papers, 8 citations indexed

About

Mudit Jain is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Mudit Jain has authored 4 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Health Information Management. Recurrent topics in Mudit Jain's work include COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mudit Jain is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mudit Jain collaborates with scholars based in India, Vietnam and United States. Mudit Jain's co-authors include Matthew P. Lungren, Saahil Jain, Akshay Smit, Sharon Zhou, Chanh D. Tr. Nguyen, Steven Q. H. Truong, Deepak Rai, Pranav Rajpurkar, Rayan Krishnan and Anuj Pareek and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Mudit Jain

4 papers receiving 8 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mudit Jain India 3 6 4 3 1 1 4 8
K. Klimaszewski Poland 1 5 0.8× 4 1.0× 2 0.7× 1 1.0× 1 1.0× 2 8
Siddhant Shingi United States 1 5 0.8× 2 0.5× 3 1.0× 1 1.0× 2 5
Jim Winkens Netherlands 2 5 0.8× 7 1.8× 5 1.7× 1 1.0× 3 12
M. Faucci Giannelli Sweden 3 6 1.0× 2 0.5× 2 0.7× 1 1.0× 4 16
Adrià Garriga-Alonso United Kingdom 2 12 2.0× 3 0.8× 2 0.7× 4 15
C. Eleftheriadis Greece 2 8 1.3× 2 0.5× 2 0.7× 3 15
Duygu Sarıkaya Türkiye 3 3 0.5× 6 1.5× 4 1.3× 8 11
N. Meinert Germany 1 6 1.0× 4 1.0× 2 14

Countries citing papers authored by Mudit Jain

Since Specialization
Citations

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

Fields of papers citing papers by Mudit Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudit Jain

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

All Works

4 of 4 papers shown
2.
Jain, Mudit, et al.. (2021). GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation. 545–553. 2 indexed citations
3.
Jain, Saahil, Akshay Smit, Chanh D. Tr. Nguyen, et al.. (2021). VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels. arXiv (Cornell University). 105–115. 3 indexed citations
4.
Rajpurkar, Pranav, Rayan Krishnan, Sharon Zhou, et al.. (2020). CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. 318–327. 2 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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2026