Seba Susan

60 papers and 842 indexed citations i.

About

Seba Susan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seba Susan has authored 60 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seba Susan’s work include Image Retrieval and Classification Techniques (13 papers), Text and Document Classification Technologies (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Seba Susan is often cited by papers focused on Image Retrieval and Classification Techniques (13 papers), Text and Document Classification Technologies (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Seba Susan collaborates with scholars based in India. Seba Susan's co-authors include Srishti Vashishtha, M. Hanmandlu, Amitesh Kumar, Om Prakash Verma, Vamsi Krishna Madasu, Prachi Agrawal, Muralidhar Kulkarni, Puneet Jain, Ankit Kumar and Deepak Kumar Aneja and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Seba Susan i

Fields of papers citing papers by Seba Susan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seba Susan

Since Specialization
Citations

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