Tapas Si

41 papers and 305 indexed citations i.

About

Tapas Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Tapas Si has authored 41 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in Tapas Si’s work include Metaheuristic Optimization Algorithms Research (11 papers), Medical Image Segmentation Techniques (7 papers) and Brain Tumor Detection and Classification (7 papers). Tapas Si is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Medical Image Segmentation Techniques (7 papers) and Brain Tumor Detection and Classification (7 papers). Tapas Si collaborates with scholars based in India, United States and Brazil. Tapas Si's co-authors include Péricles Miranda, Saurav Mallik, Anup Kumar Bhattacharjee, Asim Bikas Das, Zhongming Zhao, Ahmad Ali, Sagnik Chakraborty, André Nascimento, Ming Yu and Utpal Nandi and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tapas Si i

Fields of papers citing papers by Tapas Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tapas Si

Since Specialization
Citations

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