Naman Agarwal

28 papers and 295 indexed citations i.

About

Naman Agarwal is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Naman Agarwal has authored 28 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computational Mechanics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Naman Agarwal’s work include Stochastic Gradient Optimization Techniques (10 papers), Sparse and Compressive Sensing Techniques (8 papers) and Machine Learning and Algorithms (4 papers). Naman Agarwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (10 papers), Sparse and Compressive Sensing Techniques (8 papers) and Machine Learning and Algorithms (4 papers). Naman Agarwal collaborates with scholars based in India, United States and Russia. Naman Agarwal's co-authors include Brian Bullins, Elad Hazan, Tengyu Ma, Zeyuan Allen-Zhu, Prashant Jindal, Shubham Gupta, Mamta Juneja, Niharika Thakur, H. Brendan McMahan and Sanjiv Kumar and has published in prestigious journals such as Journal of Applied Physics, Advanced Science and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of Naman Agarwal i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025