Soumya Ranjan Nayak

107 papers and 1.3k indexed citations i.

About

Soumya Ranjan Nayak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Soumya Ranjan Nayak has authored 107 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Soumya Ranjan Nayak’s work include AI in cancer detection (14 papers), COVID-19 diagnosis using AI (11 papers) and Currency Recognition and Detection (10 papers). Soumya Ranjan Nayak is often cited by papers focused on AI in cancer detection (14 papers), COVID-19 diagnosis using AI (11 papers) and Currency Recognition and Detection (10 papers). Soumya Ranjan Nayak collaborates with scholars based in India, Saudi Arabia and United States. Soumya Ranjan Nayak's co-authors include Jibitesh Mishra, Utkarsh Sinha, Vaibhav Arora, G. Palai, Deepak Ranjan Nayak, Ram Bilas Pachori, Akash Kumar Bhoi, Sheifali Gupta, Ramesh Chandra Poonia and Vatsala Anand and has published in prestigious journals such as Sensors, Sustainability and Plant Science.

In The Last Decade

Co-authorship network of co-authors of Soumya Ranjan Nayak i

Fields of papers citing papers by Soumya Ranjan Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soumya Ranjan Nayak. 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 Soumya Ranjan Nayak. The network helps show where Soumya Ranjan Nayak may publish in the future.

Countries citing papers authored by Soumya Ranjan Nayak

Since Specialization
Citations

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