Sumudu Samarakoon
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
- Cooperative Communication and Network Coding
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
Papers in
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- Age of Information Optimization 8
- Cooperative Communication and Network Coding 7
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- Advanced MIMO Systems Optimization 15
- Vehicular Ad Hoc Networks (VANETs) 7
- Advanced Wireless Network Optimization 6
- Wireless Communication Security Techniques 5
- IoT Networks and Protocols 4
- Co-authors
- Mehdi BennisMérouane DebbahWalid SaadJihong ParkMohamed K. Abdel-AzizChen–Feng LiuMatti Latva‐ahoCristina Perfecto
- Journals
- IEEE Transactions on Communications (3 papers)IEEE Communications Letters (3 papers)IEEE Transactions on Green Communications and Networking (2 papers)IEEE Transactions on Mobile Computing (1 paper)IEEE Transactions on Wireless Communications (1 paper)
- Partner nations
- FinlandUnited StatesSouth Korea
In The Last Decade
Sumudu Samarakoon
42 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 1.0k
- Artificial Intelligence 713
- Electrical and Electronic Engineering 1.1k
- Computer Science Applications 87
- Information Systems 144
Countries citing papers authored by Sumudu Samarakoon
This map shows the geographic impact of Sumudu Samarakoon'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 Sumudu Samarakoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumudu Samarakoon more than expected).
Fields of papers citing papers by Sumudu Samarakoon
This network shows the impact of papers produced by Sumudu Samarakoon. 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 Sumudu Samarakoon. The network helps show where Sumudu Samarakoon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sumudu Samarakoon, 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 | 2022 | 45 | |
| 2 | Joint client scheduling and resource allocation under channel uncertainty in federated learning | 2021 | 46 |
| 3 | Network slicing for vehicular communication | 2021 | 29 |
| 4 | Federated distributionally robust optimization for phase configuration of RISs | 2021 | 3 |
| 5 | Robust reconfigurable intelligent surfaces via invariant risk and causal representations | 2021 | 4 |
| 6 | Communication-efficient and distributed learning over wireless networks:principles and applications | 2021 | 156 |
| 7 | BayGo:joint Bayesian learning and information-aware graph optimization | 2021 | 4 |
| 8 | Age-optimal power allocation in industrial IoT:a risk-sensitive federated learning approach | 2021 | 6 |
| 9 | 2021 | 13 | |
| 10 | Phase configuration learning in wireless networks with multiple reconfigurable intelligent surfaces | 2020 | 41 |
| 11 | Federated learning under channel uncertainty:joint client scheduling and resource allocation | 2020 | 51 |
| 12 | Enhancing video streaming in vehicular networks via resource slicing | 2020 | 38 |
| 13 | Deep learning assisted CSI estimation for joint URLLC and eMBB resource allocation | 2020 | 17 |
| 14 | Ultra-reliable low-latency vehicular networks:taming the age of information tail | 2019 | 43 |
| 15 | Reinforcement learning based vehicle-cell association algorithm for highly mobile millimeter wave communication | 2019 | 11 |
| 16 | Wireless network intelligence at the edge Hit paper breakdown → | 2019 | 398 |
| 17 | Wireless edge computing with latency and reliability guarantees | 2019 | 115 |
| 18 | Fronthaul-aware software-defined wireless networks:resource allocation and user scheduling | 2018 | 15 |
| 19 | Joint load balancing and interference mitigation in 5G heterogeneous networks | 2017 | 55 |
| 20 | 2017 | 13 |
About Sumudu Samarakoon
Sumudu Samarakoon is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (15 papers), Privacy-Preserving Technologies in Data (11 papers), Age of Information Optimization (8 papers), Cooperative Communication and Network Coding (7 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Advanced Wireless Network Optimization (6 papers), Wireless Communication Security Techniques (5 papers) and IoT Networks and Protocols (4 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Artificial Intelligence (713 citations), Electrical and Electronic Engineering (1.1k citations), Computer Science Applications (87 citations) and Information Systems (144 citations). Sumudu Samarakoon has collaborated with scholars based in Finland, United States and South Korea. Frequent co-authors include Mehdi Bennis, Mérouane Debbah, Walid Saad, Jihong Park, Mohamed K. Abdel-Aziz, Chen–Feng Liu, Matti Latva‐aho, Cristina Perfecto, Mohammed S. Elbamby and Xianfu Chen. Their work appears in journals such as IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Mobile Computing and IEEE Transactions on Wireless Communications.
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.