Pranava Madhyastha

34 papers and 257 indexed citations i.

About

Pranava Madhyastha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Pranava Madhyastha has authored 34 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Pranava Madhyastha’s work include Multimodal Machine Learning Applications (24 papers), Natural Language Processing Techniques (21 papers) and Topic Modeling (20 papers). Pranava Madhyastha is often cited by papers focused on Multimodal Machine Learning Applications (24 papers), Natural Language Processing Techniques (21 papers) and Topic Modeling (20 papers). Pranava Madhyastha collaborates with scholars based in United Kingdom, Spain and United States. Pranava Madhyastha's co-authors include Lucia Specia, Rishabh Jain, Josiah Wang, Julia Ive, Ozan Çağlayan, Ariadna Quattoni, Thomas Hain, Aykut Erdem, Erkut Erdem and Raymond W. M. Ng and has published in prestigious journals such as Pattern Recognition Letters, IEEE Journal of Selected Topics in Signal Processing and Computers & Graphics.

In The Last Decade

Co-authorship network of co-authors of Pranava Madhyastha i

Fields of papers citing papers by Pranava Madhyastha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pranava Madhyastha

Since Specialization
Citations

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