Anup Sadhu

55 total papers · 618 total citations
40 papers, 403 citations indexed

About

Anup Sadhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anup Sadhu has authored 40 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anup Sadhu's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (10 papers). Anup Sadhu is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (10 papers). Anup Sadhu collaborates with scholars based in India, United States and Canada. Anup Sadhu's co-authors include Debangshu Dey, Jayasree Chakraborty, Sudipta Mukhopadhyay, Abhishek Midya, Debashis Nandi, Pranab Kumar Dutta, Chandan Chakraborty, Pabitra Mitra, Niranjan Khandelwal and Basabi Chakraborty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Anup Sadhu

38 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Anup Sadhu 209 153 127 123 64 40 403
Bibo Shi 158 0.8× 151 1.0× 75 0.6× 80 0.7× 57 0.9× 25 373
Biswajit Jena 193 0.9× 123 0.8× 128 1.0× 43 0.3× 104 1.6× 21 410
Paweł Badura 107 0.5× 102 0.7× 94 0.7× 42 0.3× 48 0.8× 34 346
Yongkai Liu 160 0.8× 104 0.7× 226 1.8× 130 1.1× 168 2.6× 21 443
Maysam Shahedi 213 1.0× 127 0.8× 110 0.9× 45 0.4× 42 0.7× 37 431
Tianyu Shi 202 1.0× 148 1.0× 166 1.3× 37 0.3× 86 1.3× 16 395
Yeşim Eroğlu 128 0.6× 122 0.8× 63 0.5× 36 0.3× 69 1.1× 22 336
Qi Miao 127 0.6× 56 0.4× 106 0.8× 97 0.8× 45 0.7× 32 346
Nicola Altini 149 0.7× 166 1.1× 100 0.8× 50 0.4× 18 0.3× 26 333
Xunning Hong 222 1.1× 56 0.4× 67 0.5× 55 0.4× 71 1.1× 25 438

Countries citing papers authored by Anup Sadhu

Since Specialization
Citations

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

Fields of papers citing papers by Anup Sadhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Sadhu

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