Akshay Agrawal
- Artificial Intelligence
- Computer Science Applications top 5%
- Computer Networks and Communications
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Andreas PaepckeSteven DiamondStephen BoydS. T. P. BoydShane BarrattBrandon AmosJ. Zico KolterFiodar Kazhamiaka
- Topics
- Optimization and Search Problems (2 papers)Advanced Optimization Algorithms Research (2 papers)Parallel Computing and Optimization Techniques (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaNephrology Dialysis TransplantationOptimization Letters
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Akshay Agrawal
10 papers receiving 193 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 81
- Computer Science Applications 53
- Computer Networks and Communications 34
- Information Systems 32
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Akshay Agrawal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 32 | |
| 8 | 3 | |
| 9 | 32 | |
| 10 | TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning | 1 |
| 11 | 30 | |
| 12 | 21 | |
| 13 | 0 | |
| 14 | YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. | 64 |
| 15 | 1 | |
| 16 | 4 |
About Akshay Agrawal
Akshay Agrawal is a scholar working on Numerical Analysis, Hardware and Architecture and Software, having authored 16 papers that have together received 199 indexed citations. Recurring topics across this work include Optimization and Search Problems (2 papers), Advanced Optimization Algorithms Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Science Applications (53 citations), Artificial Intelligence (81 citations) and Computational Mathematics (1 citation). Akshay Agrawal has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andreas Paepcke, Steven Diamond, Stephen Boyd, S. T. P. Boyd, Shane Barratt, Brandon Amos, J. Zico Kolter, Fiodar Kazhamiaka, Matei Zaharia and Srikanth Kandula. Their work appears in journals such as SHILAP Revista de lepidopterología, Nephrology Dialysis Transplantation and Optimization Letters.
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.