Shantipriya Parida

24 papers and 120 indexed citations i.

About

Shantipriya Parida is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shantipriya Parida has authored 24 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shantipriya Parida’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Shantipriya Parida is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Shantipriya Parida collaborates with scholars based in India, Switzerland and Malaysia. Shantipriya Parida's co-authors include Satya Ranjan Dash, Petr Motlíček, Ondřej Bojar, Roman R. Poznański, Satchidananda Dehuri, Rahul Gupta, Anoop Kunchukuttan, Deepa Gupta, Chenchen Ding and Esaú Villatoro-Tello and has published in prestigious journals such as Language Resources and Evaluation, Cognitive Computation and Sadhana.

In The Last Decade

Co-authorship network of co-authors of Shantipriya Parida i

Fields of papers citing papers by Shantipriya Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shantipriya Parida

Since Specialization
Citations

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