Aditya Devarakonda
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
-
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Advanced Data Storage Technologies
Papers in
-
- Scientific Computing and Data Management 3
-
- Advanced Optimization Algorithms Research 2
- Co-authors
- Manish Parashar (2 shared papers)Iván Rodero (2 shared papers)Norman Bobroff (1 shared paper)Javier Delgado (1 shared paper)Liana Fong (1 shared paper)David Villegas (1 shared paper)Yanbin Liu (1 shared paper)Seyed Masoud Sadjadi (1 shared paper)
- Journals
- Computing in Science & Engineering (1 paper)SIAM Journal on Scientific Computing (1 paper)Journal of Computer and System Sciences (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Aditya Devarakonda
8 papers receiving 249 citations
Peers
Comparison fields: 5 of 41
- Information Systems 184
- Computer Networks and Communications 170
- Information Systems and Management 34
- Hardware and Architecture 15
- Computational Mathematics 1
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 | 152 | |
| 2 | 2013 | 55 | |
| 3 | 2016 | 28 | |
| 4 | 2019 | 8 | |
| 5 | 2014 | 5 | |
| 6 | 2018 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2026 | 0 |
About Aditya Devarakonda
Aditya Devarakonda is a scholar working on Information Systems and Management, Numerical Analysis, Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, having authored 9 papers that have together received 254 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Scientific Computing and Data Management (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Optimization Algorithms Research (2 papers), Reservoir Engineering and Simulation Methods (1 paper), Face and Expression Recognition (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Information Systems (184 citations), Computer Networks and Communications (170 citations), Information Systems and Management (34 citations), Hardware and Architecture (15 citations) and Computational Mathematics (1 citation). Aditya Devarakonda has collaborated with scholars based in United States and Italy. Frequent co-authors include Manish Parashar, Iván Rodero, Norman Bobroff, Javier Delgado, Liana Fong, David Villegas, Yanbin Liu, Seyed Masoud Sadjadi, Moustafa AbdelBaky and James Weldon Demmel. Their work appears in journals such as Computing in Science & Engineering, SIAM Journal on Scientific Computing, Journal of Computer and System Sciences and arXiv (Cornell University).
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.