Prachi Jain

16 papers and 108 indexed citations i.

About

Prachi Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Prachi Jain has authored 16 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Prachi Jain’s work include Advanced Data Compression Techniques (5 papers), Natural Language Processing Techniques (4 papers) and Digital Filter Design and Implementation (4 papers). Prachi Jain is often cited by papers focused on Advanced Data Compression Techniques (5 papers), Natural Language Processing Techniques (4 papers) and Digital Filter Design and Implementation (4 papers). Prachi Jain collaborates with scholars based in India, United States and Belgium. Prachi Jain's co-authors include Mausam Mausam, Soumen Chakrabarti, Sanjay Sharma, Sachin Kajarekar, Daniel P. W. Ellis, Hynek Heřmanský, Sunayana Sitaram, Mohamed Ahmed, Kalika Bali and Kabir Ahuja and has published in prestigious journals such as Journal of Visualized Experiments, IEEE Transactions on Consumer Electronics and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Prachi Jain i

Fields of papers citing papers by Prachi Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prachi Jain

Since Specialization
Citations

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