Surabhi Adhikari

About

Surabhi Adhikari is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Surabhi Adhikari has authored 8 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Surabhi Adhikari’s work include Topic Modeling (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and COVID-19 diagnosis using AI (1 paper). Surabhi Adhikari is often cited by papers focused on Topic Modeling (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and COVID-19 diagnosis using AI (1 paper). Surabhi Adhikari collaborates with scholars based in India, United States and Australia. Surabhi Adhikari's co-authors include Surendrabikram Thapa, Avinash Kumar Jha, Gnana Bharathy, Mukesh Prasad, Usman Naseem, Priyanka Singh, Huan Huo, Ankit Kumar, Hai Lü and Mehwish Nasim and has published in prestigious journals such as Neural Networks, Annals of Biomedical Engineering and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Surabhi Adhikari i

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Fields of papers citing papers by Surabhi Adhikari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Surabhi Adhikari

Since Specialization

Citations

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