Naman Agarwal

1.3k total citations
33 papers, 290 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 33 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 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 (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Algorithms (3 papers). Naman Agarwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Algorithms (3 papers). Naman Agarwal collaborates with scholars based in India, United States and Denmark. Naman Agarwal's 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 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

26 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Naman Agarwal India	7	134	105	87	85	47	33	290
Will Wei Sun United States	11	95 0.7×	75 0.7×	39 0.4×		74 1.6×	23	292
Zhenfeng Zhang China	13	162 1.2×	43 0.4×	199 2.3×	5 0.1×	5 0.1×	28	459
Waleed A. Mahmoud Al‐Jawher Iraq	11	71 0.5×	53 0.5×	178 2.0×	5 0.1×	5 0.1×	48	356
Brian Baingana United States	9	171 1.3×	34 0.3×	19 0.2×		42 0.9×	17	321
Timo Schneider United States	16	63 0.5×	15 0.1×	63 0.7×	15 0.2×	5 0.1×	39	740
Ganzhao Yuan China	8	105 0.8×	9 0.1×	180 2.1×		65 1.4×	15	321
Changbo Zhu United States	8	64 0.5×	15 0.1×	102 1.2×		118 2.5×	14	291
Chris Ying United States	4	189 1.4×	12 0.1×	145 1.7×	2 0.0×	7 0.1×	6	258
Amit Sabne United States	12	89 0.7×	76 0.7×	62 0.7×		8 0.2×	20	524
Ilija Bogunovic Switzerland	8	100 0.7×	12 0.1×	22 0.3×		41 0.9×	19	182

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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20 of 20 papers shown

Agarwal, Naman, et al.. (2024). OCT-based method for the combined measurement of structural vibration and fluid pressure. AIP conference proceedings. 3062. 20007–20007. 1 indexed citations

Agarwal, Naman, et al.. (2024). Driver Drowsiness Detection System Using Image Recognition. 1–6. 1 indexed citations

Agarwal, Naman & James Pope. (2024). GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning. Bristol Research (University of Bristol). 202–209. 1 indexed citations

Parchenko, Sergii, Hiroki Ueda, Robert Carley, et al.. (2023). Transient Non‐Collinear Magnetic State for All‐Optical Magnetization Switching. Advanced Science. 10(36). e2302550–e2302550. 3 indexed citations

Abhyankar, Aditya, et al.. (2023). DementAid: A Comprehensive Web Application for Dementia's Support and Memory Enhancement. 34. 1858–1865.

Agarwal, Naman, et al.. (2022). Space Qualified Q/V Band Receiver for High Throughput Communication Satellites. 259–263.

Agarwal, Naman, et al.. (2022). Detection of Covid-19 using Cough Sounds. Fusion Practice and Applications. 7(2). 79–90. 1 indexed citations

Juneja, Mamta, et al.. (2019). Automated detection of Glaucoma using deep learning convolution network (G-net). Multimedia Tools and Applications. 79(21-22). 15531–15553. 107 indexed citations

Agarwal, Naman, Rohan Anil, Elad Hazan, Tomer Koren, & Cyril Zhang. (2019). Revisiting the Generalization of Adaptive Gradient Methods. 2 indexed citations

10.

Agarwal, Naman, Nicolas Boumal, Brian Bullins, & Coralia Cartis. (2018). Adaptive regularization with cubics on manifolds with a first-order analysis. arXiv (Cornell University). 2 indexed citations

11.

Agarwal, Naman, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, & H. Brendan McMahan. (2018). cpSGD: communication-efficient and differentially-private distributed SGD. Neural Information Processing Systems. 31. 7575–7586. 49 indexed citations

12.

Agarwal, Naman, Brian Bullins, Xinyi Chen, et al.. (2018). The Case for Full-Matrix Adaptive Regularization. arXiv (Cornell University).

13.

Gupta, Dinesh C., et al.. (2018). Traditional Commerce v/s E-commerce and Impact of Demonetization on E-commerce. International Journal of Engineering and Management Research. 8(2). 4 indexed citations

14.

Agarwal, Naman & Karan Singh. (2017). The Price of Differential Privacy for Online Learning.. International Conference on Machine Learning. 32–40. 16 indexed citations

15.

Agarwal, Naman, Zeyuan Allen-Zhu, Brian Bullins, Elad Hazan, & Tengyu Ma. (2017). Finding approximate local minima faster than gradient descent. 1195–1199. 53 indexed citations

16.

Agarwal, Naman, Zeyuan Allen Zhu, Brian Bullins, Elad Hazan, & Tengyu Ma. (2016). Finding Approximate Local Minima for Nonconvex Optimization in Linear Time.. arXiv (Cornell University). 12 indexed citations

17.

Agarwal, Naman, Zeyuan Allen-Zhu, Brian Bullins, Elad Hazan, & Tengyu Ma. (2016). Finding Local Minima for Nonconvex Optimization in Linear Time. arXiv (Cornell University). 3 indexed citations

18.

Agarwal, Naman & Kolin Paul. (2016). XEBRA: XEn Based Remote Attestation. 1. 2383–2386. 2 indexed citations

19.

Agarwal, Naman. (2015). DESIGN OF RURAL ROAD IN UTTARAKHAND. International Journal of Research in Engineering and Technology. 4(1). 50–55.

20.

Agarwal, Naman & Anuj Goyal. (2007). Robust Watermarking in Transform Domain Using Edge Detection Technique. 59–63. 3 indexed citations

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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