Amita Dev

55 papers and 169 indexed citations i.

About

Amita Dev is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amita Dev has authored 55 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 28 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amita Dev’s work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (25 papers) and Music and Audio Processing (15 papers). Amita Dev is often cited by papers focused on Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (25 papers) and Music and Audio Processing (15 papers). Amita Dev collaborates with scholars based in India. Amita Dev's co-authors include Anurag Jain, Poonam Bansal, Shyam Sunder Agrawal, Arun Sharma, Khushboo Jain, S. S. Agrawal, Ritu Rani, Deepak Kumar Sharma, Deepankar Choudhury and Shri Kant and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing and Wireless Personal Communications.

In The Last Decade

Co-authorship network of co-authors of Amita Dev i

Fields of papers citing papers by Amita Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amita Dev

Since Specialization
Citations

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