Surendrabikram Thapa

26 papers and 197 indexed citations i.

About

Surendrabikram Thapa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Surendrabikram Thapa has authored 26 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Surendrabikram Thapa’s work include Hate Speech and Cyberbullying Detection (7 papers), Topic Modeling (4 papers) and Social Media and Politics (3 papers). Surendrabikram Thapa is often cited by papers focused on Hate Speech and Cyberbullying Detection (7 papers), Topic Modeling (4 papers) and Social Media and Politics (3 papers). Surendrabikram Thapa collaborates with scholars based in United States, Australia and India. Surendrabikram Thapa's co-authors include Surabhi Adhikari, Usman Naseem, Mukesh Prasad, Avinash Kumar Jha, Priyanka Singh, Gnana Bharathy, Ankit Kumar, Akshansh Gupta, Deepak Kumar Jain and Huan Huo and has published in prestigious journals such as IEEE Access, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Surendrabikram Thapa i

Fields of papers citing papers by Surendrabikram Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Surendrabikram Thapa

Since Specialization
Citations

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