Sugato Basu

19 papers and 989 indexed citations i.

About

Sugato Basu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sugato Basu has authored 19 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Sugato Basu’s work include Multimodal Machine Learning Applications (6 papers), Advanced Clustering Algorithms Research (5 papers) and Image Retrieval and Classification Techniques (4 papers). Sugato Basu is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Clustering Algorithms Research (5 papers) and Image Retrieval and Classification Techniques (4 papers). Sugato Basu collaborates with scholars based in United States and Australia. Sugato Basu's co-authors include Raymond J. Mooney, Arindam Banerjee, Ian Davidson, Kiri L. Wagstaff, Inderjit S. Dhillon, Brian Kulis, Roberto J. Bayardo, Biswanath Panda, D. Sculley and Pradyumna Narayana and has published in prestigious journals such as Machine Learning, Proceedings of the VLDB Endowment and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Sugato Basu i

Fields of papers citing papers by Sugato Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sugato Basu

Since Specialization
Citations

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