Niki Parmar

11 papers and 10.2k indexed citations i.

About

Niki Parmar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Niki Parmar has authored 11 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Niki Parmar’s work include Multimodal Machine Learning Applications (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (4 papers). Niki Parmar is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (4 papers). Niki Parmar collaborates with scholars based in United States and Canada. Niki Parmar's co-authors include Ashish Vaswani, Noam Shazeer, Jakob Uszkoreit, Llion Jones, Łukasz Kaiser, Aidan N. Gomez, Illia Polosukhin, Jonathon Shlens, Aravind Srinivas and Yonghui Wu and has published in prestigious journals such as Journal of Experimental Psychology General, Behavior Research Methods and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Niki Parmar i

Fields of papers citing papers by Niki Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Niki Parmar

Since Specialization
Citations

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