Niki Parmar

35 total papers · 84.7k total citations
6 papers, 1.8k citations indexed

About

Niki Parmar is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Niki Parmar has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Niki Parmar's work include Advanced Text Analysis Techniques (1 paper), Social and Intergroup Psychology (1 paper) and Speech and Audio Processing (1 paper). Niki Parmar is often cited by papers focused on Advanced Text Analysis Techniques (1 paper), Social and Intergroup Psychology (1 paper) and Speech and Audio Processing (1 paper). Niki Parmar collaborates with scholars based in United States. Niki Parmar's co-authors include Jiahui Yu, Ruoming Pang, James Qin, Anmol Gulati, Shibo Wang, Wei Han, Yonghui Wu, Chung‐Cheng Chiu, Yu Zhang and Zhengdong Zhang and has published in prestigious journals such as Journal of Experimental Psychology General, Behavior Research Methods and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Niki Parmar

6 papers receiving 1.7k citations

Hit Papers

Conformer: Convolution-au... 2020 2026 2022 2024 2020 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Niki Parmar 1.3k 888 268 89 88 6 1.8k
Li Deng 1.6k 1.2× 1.1k 1.3× 404 1.5× 105 1.2× 68 0.8× 8 2.2k
Dong Yu 1.6k 1.2× 1.1k 1.3× 404 1.5× 75 0.8× 68 0.8× 11 2.2k
Raj Reddy 1.1k 0.8× 866 1.0× 260 1.0× 137 1.5× 101 1.1× 30 1.6k
Chaitanya Ahuja 1.1k 0.8× 294 0.3× 862 3.2× 267 3.0× 128 1.5× 12 2.3k
Özgür Çetin 912 0.7× 775 0.9× 548 2.0× 136 1.5× 120 1.4× 27 2.0k
Nash Borges 661 0.5× 587 0.7× 526 2.0× 107 1.2× 115 1.3× 9 1.7k
James Qin 1.6k 1.3× 1.1k 1.3× 286 1.1× 97 1.1× 67 0.8× 9 2.1k
Shawn Hershey 440 0.3× 960 1.1× 657 2.5× 150 1.7× 121 1.4× 5 1.5k
William Chan 1.4k 1.1× 928 1.0× 175 0.7× 68 0.8× 37 0.4× 27 1.7k
Jeffrey D. Banfield 948 0.7× 229 0.3× 249 0.9× 29 0.3× 25 0.3× 10 1.8k

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).

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.

Co-authorship network of co-authors of Niki Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Niki Parmar. A scholar is included among the top collaborators of Niki Parmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niki Parmar. Niki Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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