Paarth Neekhara

11 papers and 221 indexed citations i.

About

Paarth Neekhara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Paarth Neekhara has authored 11 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Paarth Neekhara’s work include Adversarial Robustness in Machine Learning (5 papers), Digital Media Forensic Detection (4 papers) and Speech Recognition and Synthesis (4 papers). Paarth Neekhara is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Digital Media Forensic Detection (4 papers) and Speech Recognition and Synthesis (4 papers). Paarth Neekhara collaborates with scholars based in United States. Paarth Neekhara's co-authors include Shehzeen Hussain, Farinaz Koushanfar, Julian McAuley, Shlomo Dubnov, Cristian Canton Ferrer, Brian Dolhansky, Joanna Bitton, Mojan Javaheripi, Ryan Kastner and Jinglong Du and has published in prestigious journals such as ACM Transactions on Multimedia Computing Communications and Applications, eScholarship (California Digital Library) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Paarth Neekhara i

Fields of papers citing papers by Paarth Neekhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paarth Neekhara

Since Specialization
Citations

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