Akshay Agrawal

44 total papers · 577 total citations
16 papers, 197 citations indexed

About

Akshay Agrawal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Akshay Agrawal has authored 16 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Akshay Agrawal's work include Advanced Bandit Algorithms Research (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Akshay Agrawal is often cited by papers focused on Advanced Bandit Algorithms Research (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Akshay Agrawal collaborates with scholars based in United States, India and Israel. Akshay Agrawal's co-authors include Andreas Paepcke, Steven Diamond, Stephen Boyd, S. T. P. Boyd, J. Zico Kolter, Brandon Amos, Shane Barratt, Matei Zaharia, Fiodar Kazhamiaka and Deepak Narayanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nephrology Dialysis Transplantation and Optimization Letters.

In The Last Decade

Akshay Agrawal

10 papers receiving 191 citations

Author Peers

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

Author Last Decade Papers Cites
Akshay Agrawal 81 53 34 32 29 16 197
Hoda El-Sayed 76 0.9× 17 0.3× 43 1.3× 29 0.9× 19 0.7× 17 210
Jonathan B. Knudsen 40 0.5× 22 0.4× 52 1.5× 41 1.3× 33 1.1× 16 190
Shweta Jain 67 0.8× 52 1.0× 54 1.6× 16 0.5× 22 0.8× 28 197
Luis G. Martínez 121 1.5× 34 0.6× 24 0.7× 69 2.2× 11 0.4× 22 249
Yuli Deng 82 1.0× 48 0.9× 95 2.8× 104 3.3× 20 0.7× 19 257
Lisa Torrey 189 2.3× 24 0.5× 28 0.8× 15 0.5× 24 0.8× 15 264
Yuan Li 114 1.4× 22 0.4× 27 0.8× 54 1.7× 46 1.6× 21 267
Matteo Risoldi 37 0.5× 23 0.4× 58 1.7× 28 0.9× 24 0.8× 9 150
Gholam Ali Shaykhian 54 0.7× 13 0.2× 35 1.0× 61 1.9× 10 0.3× 19 202
Arjun Nitin Bhagoji 213 2.6× 18 0.3× 52 1.5× 15 0.5× 28 1.0× 18 243

Countries citing papers authored by Akshay Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Agrawal

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