Amit Agarwal

1.4k citations
15 papers · 646 · 1 hit paper · h-index 6

Impact in

Papers in

Amit Agarwal

14 papers receiving 611 citations

Amit Agarwal's Hit Papers

Logarithmic regret algorithms for online convex optimization 2007 · 442 citations
4420+6+12Years since publication100200300400

Peers

Amit Agarwal
Comparison fields: 5 of 45
  • Management Science and Operations Research 450
  • Artificial Intelligence 342
  • Computer Networks and Communications 214
  • Finance 77
  • Computational Mechanics 103
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András Antos Hungary
Lorenzo Lampariello Italy
Olivier Catoni France
Javier Peña United States
J.K. Townsend United States
Jayash Koshal United States
B. Tsybakov United States
Chenyi Hu United States
Abdelkader Mokkadem France
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Citations per field
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Citations per year

Countries citing papers authored by Amit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Amit Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Agarwal Line = papers co-authored together Amit Agarwal links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Logarithmic regret algorithms for online convex optimization
Hit paper breakdown →
2007442
2 2006147
3 202317
4 20069
5
Efficient Algorithms for Online Game Playing and Universal Portfolio Management.
20068
6 20236
7 20194
8 20233
9 20252
10 20242
11 20242
12 20222
13 20241
14 20241
15 20240

About Amit Agarwal

Amit Agarwal is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Atomic and Molecular Physics, and Optics, Ocean Engineering and Artificial Intelligence, having authored 15 papers that have together received 646 indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (5 papers), Optical Wireless Communication Technologies (5 papers), Advanced Bandit Algorithms Research (3 papers), Underwater Vehicles and Communication Systems (2 papers), Machine Learning and Algorithms (2 papers), Energy Harvesting in Wireless Networks (2 papers), Stochastic processes and financial applications (1 paper) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (450 citations), Artificial Intelligence (342 citations), Computer Networks and Communications (214 citations), Finance (77 citations) and Computational Mechanics (103 citations). Amit Agarwal has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include Elad Hazan, Satyen Kale, Robert E. Schapire, Keshav Singh, Kamal Das, Pankaj Bhalla, Ioannis Krikidis, Er Meng Joo, Saif Khan Mohammed and Constantinos Psomas. Their work appears in journals such as Physical Communication, Physical review. B., IEEE Transactions on Communications, Transactions on Emerging Telecommunications Technologies and IEEE Transactions on Vehicular Technology.

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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