Abhishek Midya

29 papers and 518 indexed citations i.

About

Abhishek Midya is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Abhishek Midya has authored 29 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Abhishek Midya’s work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (12 papers) and Image Retrieval and Classification Techniques (6 papers). Abhishek Midya is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (12 papers) and Image Retrieval and Classification Techniques (6 papers). Abhishek Midya collaborates with scholars based in United States, India and Canada. Abhishek Midya's co-authors include Jayasree Chakraborty, Richard Kinh Gian, Amber L. Simpson, Mithat Gönen, Peter J. Allen, William R. Jarnagin, Liana Langdon‐Embry, Rikiya Yamashita, Marc A. Attiyeh and Anant Madabhushi and has published in prestigious journals such as Expert Systems with Applications, Medical Physics and Annals of Surgical Oncology.

In The Last Decade

Co-authorship network of co-authors of Abhishek Midya i

Fields of papers citing papers by Abhishek Midya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abhishek Midya

Since Specialization
Citations

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

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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2025