Ankita Dhar

15 papers and 292 indexed citations i.

About

Ankita Dhar is a scholar working on Artificial Intelligence, Signal Processing and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ankita Dhar has authored 15 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ankita Dhar’s work include Music and Audio Processing (6 papers), Text and Document Classification Technologies (5 papers) and Speech and Audio Processing (4 papers). Ankita Dhar is often cited by papers focused on Music and Audio Processing (6 papers), Text and Document Classification Technologies (5 papers) and Speech and Audio Processing (4 papers). Ankita Dhar collaborates with scholars based in India, United States and Portugal. Ankita Dhar's co-authors include Himadri Mukherjee, Kaushik Roy, Sk Md Obaidullah, KC Santosh, Subhankar Ghosh, Mufti Mahmud, Santanu Phadikar, Teresa Gonçalves, Umapada Pal and Soma Das and has published in prestigious journals such as Artificial Intelligence Review, Journal of Medical Systems and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Ankita Dhar i

Fields of papers citing papers by Ankita Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ankita Dhar

Since Specialization
Citations

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