Utkarsh Sinha

About

Utkarsh Sinha is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Utkarsh Sinha has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Mechanical Engineering. Recurrent topics in Utkarsh Sinha’s work include COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and Advanced Techniques in Reservoir Management (2 papers). Utkarsh Sinha is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and Advanced Techniques in Reservoir Management (2 papers). Utkarsh Sinha collaborates with scholars based in India and United States. Utkarsh Sinha's co-authors include Vaibhav Arora, Soumya Ranjan Nayak, Deepak Ranjan Nayak, Ram Bilas Pachori, Ramesh Chandra Poonia, Janmenjoy Nayak, Suresh Chandra Satapathy, Uttam Ghosh, Sathish Sankaran and S. Vimal and has published in prestigious journals such as Biomedical Signal Processing and Control, Arabian Journal for Science and Engineering and Diagnostics.

In The Last Decade

Co-authorship network of co-authors of Utkarsh Sinha i

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Fields of papers citing papers by Utkarsh Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Utkarsh Sinha

Since Specialization

Citations

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