Akshay Ajagekar
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Co-authors
- Fengqi YouTravis S. HumbleJiahan XieNeil MattsonBenjamin Decardi‐NelsonDimitar TrenevStuart M. HarwoodDavid E. Bernal
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Smart Grid Energy Management (6 papers)Cloud Computing and Resource Management (5 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Akshay Ajagekar
24 papers receiving 797 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 403
- Electrical and Electronic Engineering 247
- Control and Systems Engineering 130
- Computational Theory and Mathematics 102
- Information Systems 93
Countries citing papers authored by Akshay Ajagekar
This map shows the geographic impact of Akshay Ajagekar'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 Ajagekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Ajagekar more than expected).
Fields of papers citing papers by Akshay Ajagekar
This network shows the impact of papers produced by Akshay Ajagekar. 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 Ajagekar. The network helps show where Akshay Ajagekar may publish in the future.
Co-authorship network of co-authors of Akshay Ajagekar
This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Ajagekar. A scholar is included among the top collaborators of Akshay Ajagekar 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 Ajagekar. Akshay Ajagekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 55 | |
| 8 | 19 | |
| 9 | 43 | |
| 10 | 1 | |
| 11 | 48 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 33 | |
| 15 | 78 | |
| 16 | 21 | |
| 17 | 0 | |
| 18 | 38 | |
| 19 | 22 | |
| 20 | 2 |
About Akshay Ajagekar
Akshay Ajagekar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics, having authored 26 papers that have together received 831 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Smart Grid Energy Management (6 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Artificial Intelligence (403 citations), Computational Theory and Mathematics (102 citations) and Control and Systems Engineering (130 citations). Akshay Ajagekar has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Fengqi You, Travis S. Humble, Jiahan Xie, Neil Mattson, Benjamin Decardi‐Nelson, Dimitar Trenev, Stuart M. Harwood, David E. Bernal, Marco Pistoia and Syed Farhan Ahmad. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Science Advances.
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.