Naman Agarwal

119 total papers · 1.3k total citations
34 papers, 309 citations indexed

About

Naman Agarwal is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naman Agarwal has authored 34 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naman Agarwal's work include Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Bandit Algorithms Research (3 papers). Naman Agarwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Bandit Algorithms Research (3 papers). Naman Agarwal collaborates with scholars based in India, United States and United Kingdom. Naman Agarwal's co-authors include Brian Bullins, Elad Hazan, Mamta Juneja, Shubham Gupta, Niharika Thakur, Prashant Jindal, Tengyu Ma, Zeyuan Allen-Zhu, H. Brendan McMahan and Felix Yu and has published in prestigious journals such as Journal of Applied Physics, Advanced Science and Multimedia Tools and Applications.

In The Last Decade

Naman Agarwal

27 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Naman Agarwal 143 106 88 85 62 34 309
Ambedkar Dukkipati 135 0.9× 41 0.4× 86 1.0× 9 0.1× 23 0.4× 43 332
Muhammad Rafiq Mufti 104 0.7× 31 0.3× 101 1.1× 18 0.2× 3 0.0× 44 335
Peilin Zhong 169 1.2× 88 0.8× 123 1.4× 3 0.0× 27 0.4× 26 339
Samy Wu Fung 80 0.6× 32 0.3× 61 0.7× 54 0.9× 21 310
Michael Droettboom 36 0.3× 22 0.2× 197 2.2× 45 0.5× 13 0.2× 21 329
Nesma Settouti 177 1.2× 59 0.6× 82 0.9× 20 0.2× 2 0.0× 38 340
Elias S. Helou 44 0.3× 67 0.6× 68 0.8× 113 1.8× 29 300
Amita Nandal 82 0.6× 37 0.3× 187 2.1× 2 0.0× 12 0.2× 36 366
Yohann de Castro 49 0.3× 47 0.4× 89 1.0× 222 3.6× 24 345
S. K. Setua 47 0.3× 101 1.0× 85 1.0× 62 0.7× 3 0.0× 34 237

Countries citing papers authored by Naman Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Naman Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naman Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Naman Agarwal. A scholar is included among the top collaborators of Naman Agarwal 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 Naman Agarwal. Naman Agarwal 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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