Akshay Agrawal

581 total citations
16 papers, 199 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 199 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 Optimization and Search Problems (2 papers), Advanced Optimization Algorithms Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Akshay Agrawal is often cited by papers focused on Optimization and Search Problems (2 papers), Advanced Optimization Algorithms Research (2 papers) and Parallel Computing and 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, Shane Barratt, J. Zico Kolter, Brandon Amos, Srikanth Kandula, Firas Abuzaid and Matei Zaharia 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 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshay Agrawal United States 6 81 53 34 32 29 16 199
Jihong Ding China 9 97 1.2× 16 0.3× 42 1.2× 39 1.2× 20 0.7× 28 242
Renping Liu China 5 285 3.5× 53 1.0× 82 2.4× 46 1.4× 46 1.6× 9 355
Anit Kumar Sahu United States 9 240 3.0× 32 0.6× 81 2.4× 23 0.7× 39 1.3× 28 309
Ladislav Huraj Slovakia 10 61 0.8× 13 0.2× 126 3.7× 63 2.0× 18 0.6× 37 243
Ali Shahin Shamsabadi United Kingdom 9 347 4.3× 18 0.3× 31 0.9× 42 1.3× 82 2.8× 17 401
Christopher A. Choquette-Choo United States 6 302 3.7× 14 0.3× 47 1.4× 67 2.1× 84 2.9× 10 406
C. Shunmuga Velayutham India 8 155 1.9× 21 0.4× 13 0.4× 47 1.5× 43 1.5× 45 253
Shuhui Zhang China 11 112 1.4× 47 0.9× 101 3.0× 168 5.3× 33 1.1× 57 318
Omid Fatemieh United States 10 120 1.5× 55 1.0× 195 5.7× 41 1.3× 6 0.2× 14 337
Sanmit Narvekar United States 7 168 2.1× 14 0.3× 16 0.5× 58 1.8× 32 1.1× 11 232

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

16 of 16 papers shown
1.
Agrawal, Akshay, et al.. (2024). ENHANCING ADAPTIVE LEARNING AND DECISION-MAKING SYSTEMS USING SWARM INTELLIGENCE AND DEEP LEARNING FOR ADVANCED AI APPLICATIONS. ICTACT Journal on Soft Computing. 15(2). 3482–3490.
2.
Agrawal, Akshay, et al.. (2024). VaultGuard: The Advanced Keyless Security System. SHILAP Revista de lepidopterología. 10(50). 230–237.
3.
Agrawal, Akshay, et al.. (2023). #4820 RISK FACTORS FOR INPATIENT MORTALITY IN PATIENTS WITH NON-DIALYSIS CHRONIC KIDNEY DISEASE ADMITTED FOR COVID-19 USING A US NATIONAL SAMPLE. Nephrology Dialysis Transplantation. 38(Supplement_1). 1 indexed citations
4.
Agrawal, Akshay, et al.. (2023). Web-3 Music Player on Blockchain. 56–60. 1 indexed citations
5.
Agrawal, Akshay, Stephen Boyd, Deepak Narayanan, Fiodar Kazhamiaka, & Matei Zaharia. (2022). Allocation of fungible resources via a fast, scalable price discovery method. Mathematical Programming Computation. 14(3). 593–622.
6.
Banjac, Goran, et al.. (2022). Embedded Code Generation With CVXPY. IEEE Control Systems Letters. 6. 2653–2658. 9 indexed citations
7.
Narayanan, Deepak, Fiodar Kazhamiaka, Firas Abuzaid, et al.. (2021). Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. 521–537. 32 indexed citations
8.
Agrawal, Akshay, et al.. (2020). An 8T TG-DTMOS Based Subthreshold SRAM Cell with Improved Write Ability and Access Times. 1–6. 3 indexed citations
9.
Agrawal, Akshay, Alexandre Passos, Ashish Agarwal, et al.. (2019). TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. 1. 178–189. 1 indexed citations
10.
Agrawal, Akshay, et al.. (2019). Differentiating through a cone program. 2019(2). 32 indexed citations
11.
Agrawal, Akshay, Brandon Amos, Shane Barratt, et al.. (2019). Differentiable Convex Optimization Layers. arXiv (Cornell University). 32. 9558–9570. 30 indexed citations
12.
Agrawal, Akshay, Steven Diamond, & S. T. P. Boyd. (2019). Disciplined geometric programming. Optimization Letters. 13(5). 961–976. 21 indexed citations
13.
Agrawal, Akshay & Ronald H. W. Hoppe. (2017). Optimization of plane wave directions in plane wave discontinuous Galerkin methods for the Helmholtz equation. Portugaliae Mathematica. 74(1). 69–89.
14.
Agrawal, Akshay, et al.. (2015). YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips.. Educational Data Mining. 297–304. 64 indexed citations
15.
Tao, Lixin, et al.. (2015). A new plugin to support new relations in Protege. 2. 1–6. 1 indexed citations
16.
Neema, Sandeep, Gabor Simko, Tihamér Levendovszky, et al.. (2014). Formalization of software models for cyber-physical systems. 45–51. 4 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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