Naman Agarwal
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Ophthalmology top 5%
- Computational Mechanics
- Co-authors
- Elad HazanBrian BullinsNiharika ThakurPrashant JindalShubham GuptaMamta JunejaTengyu MaZeyuan Allen-Zhu
- Topics
- Stochastic Gradient Optimization Techniques (7 papers)Sparse and Compressive Sensing Techniques (6 papers)Machine Learning and Algorithms (3 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- IndiaUnited StatesDenmark
In The Last Decade
Naman Agarwal
26 papers receiving 262 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 134
- Radiology, Nuclear Medicine and Imaging 105
- Computer Vision and Pattern Recognition 87
- Ophthalmology 85
- Computational Mechanics 47
Countries citing papers authored by Naman Agarwal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 107 | |
| 9 | Revisiting the Generalization of Adaptive Gradient Methods | 2 |
| 10 | Adaptive regularization with cubics on manifolds with a first-order analysis | 2 |
| 11 | cpSGD: communication-efficient and differentially-private distributed SGD | 49 |
| 12 | The Case for Full-Matrix Adaptive Regularization | 0 |
| 13 | 4 | |
| 14 | The Price of Differential Privacy for Online Learning. | 16 |
| 15 | 53 | |
| 16 | Finding Approximate Local Minima for Nonconvex Optimization in Linear Time. | 12 |
| 17 | Finding Local Minima for Nonconvex Optimization in Linear Time | 3 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 3 |
About Naman Agarwal
Naman Agarwal is a scholar working on Hardware and Architecture, Sensory Systems and Signal Processing, having authored 33 papers that have together received 290 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Ophthalmology (85 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Computer Vision and Pattern Recognition (87 citations). Naman Agarwal has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include Elad Hazan, Brian Bullins, Niharika Thakur, Prashant Jindal, Shubham Gupta, Mamta Juneja, Tengyu Ma, Zeyuan Allen-Zhu, Ananda Theertha Suresh and H. Brendan McMahan. Their work appears in journals such as Journal of Applied Physics, Advanced Science and Multimedia Tools and Applications.
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.