Aditya Devarakonda
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
- Service-Oriented Architecture and Web Services
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
Papers in
-
- Parallel Computing and Optimization Techniques 3
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- Matrix Theory and Algorithms 4
- Co-authors
- Ivan Rodero A (2 shared papers)Manish Parashar (2 shared papers)Yanbin Liu (1 shared paper)Norman Bobroff (1 shared paper)Seyed Masoud Sadjadi (1 shared paper)Liana Fong (1 shared paper)David Villegas (1 shared paper)Moustafa AbdelBaky (1 shared paper)
- Journals
- Journal of Computer and System Sciences (1 paper)Computing in Science & Engineering (1 paper)SIAM Journal on Scientific Computing (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (2 papers)neural information processing systems (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Aditya Devarakonda
9 papers receiving 255 citations
Peers
Comparison fields: 5 of 32
- Information Systems 167
- Computer Networks and Communications 69
- Hardware and Architecture 24
- Computer Science Applications 6
- Artificial Intelligence 26
Countries citing papers authored by Aditya Devarakonda
This map shows the geographic impact of Aditya Devarakonda'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 Aditya Devarakonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Devarakonda more than expected).
Fields of papers citing papers by Aditya Devarakonda
This network shows the impact of papers produced by Aditya Devarakonda. 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 Aditya Devarakonda. The network helps show where Aditya Devarakonda may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Devarakonda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 153 | |
| 2 | 2013 | 55 | |
| 3 | 2016 | 29 | |
| 4 | 2019 | 8 | |
| 5 | 2014 | 5 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 |
About Aditya Devarakonda
Aditya Devarakonda is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Computer Science Applications, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (6 papers), Matrix Theory and Algorithms (4 papers), Cloud Computing and Resource Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (1 paper), Statistical Methods and Inference (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Information Systems (167 citations), Computer Networks and Communications (69 citations), Hardware and Architecture (24 citations), Computer Science Applications (6 citations) and Artificial Intelligence (26 citations). Aditya Devarakonda has collaborated with scholars based in United States and Italy. Frequent co-authors include Ivan Rodero A, Manish Parashar, Yanbin Liu, Norman Bobroff, Seyed Masoud Sadjadi, Liana Fong, David Villegas, Moustafa AbdelBaky, James Weldon Demmel and Michael W. Mahoney. Their work appears in journals such as Journal of Computer and System Sciences, Computing in Science & Engineering, SIAM Journal on Scientific Computing, Proceedings - IEEE International Parallel and Distributed Processing Symposium and neural information processing systems.
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.