Tausif Diwan

23 papers and 747 indexed citations i.

About

Tausif Diwan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Tausif Diwan has authored 23 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Neurology. Recurrent topics in Tausif Diwan’s work include AI in cancer detection (6 papers), Brain Tumor Detection and Classification (6 papers) and COVID-19 diagnosis using AI (4 papers). Tausif Diwan is often cited by papers focused on AI in cancer detection (6 papers), Brain Tumor Detection and Classification (6 papers) and COVID-19 diagnosis using AI (4 papers). Tausif Diwan collaborates with scholars based in India. Tausif Diwan's co-authors include Jitendra V. Tembhurne, Hemprasad Yashwant Patil, Saroj K. Panda, O. G. Kakde, Tarun Saxena and Manish P. Kurhekar and has published in prestigious journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and Results in Engineering.

In The Last Decade

Co-authorship network of co-authors of Tausif Diwan i

Fields of papers citing papers by Tausif Diwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tausif Diwan

Since Specialization
Citations

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