Sabita Maharjan
Impact in
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Age of Information Optimization
- Information Systems top 0.05%
- Blockchain Technology Applications and Security
Papers in
-
- IoT and Edge/Fog Computing 32
- Caching and Content Delivery 14
- Age of Information Optimization 12
-
- Blockchain Technology Applications and Security 29
- Co-authors
- Y Zhang (76 shared papers)Ke Zhang (25 shared papers)Yueyue Dai (15 shared papers)Yunlong Lu (11 shared papers)Xiaohong Huang (8 shared papers)Supeng Leng (16 shared papers)Du Xu (9 shared papers)Stein Gjessing (26 shared papers)
- Journals
- IEEE Internet of Things Journal (15 papers)IEEE Transactions on Industrial Informatics (11 papers)IEEE Network (10 papers)IEEE Transactions on Vehicular Technology (8 papers)IEEE Transactions on Smart Grid (6 papers)
- Partner nations
- NorwayChinaUnited States
In The Last Decade
Sabita Maharjan
106 papers receiving 14.1k citations
Sabita Maharjan's Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Networks and Communications 7.8k
- Information Systems 5.2k
- Artificial Intelligence 4.0k
- Electrical and Electronic Engineering 6.5k
- Computer Science Applications 602
Countries citing papers authored by Sabita Maharjan
This map shows the geographic impact of Sabita Maharjan'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 Sabita Maharjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabita Maharjan more than expected).
Fields of papers citing papers by Sabita Maharjan
This network shows the impact of papers produced by Sabita Maharjan. 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 Sabita Maharjan. The network helps show where Sabita Maharjan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabita Maharjan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT Hit paper breakdown → | 2019 | 980 |
| 2 | Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains Hit paper breakdown → | 2017 | 963 |
| 3 | Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks Hit paper breakdown → | 2016 | 741 |
| 4 | Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks Hit paper breakdown → | 2018 | 679 |
| 5 | Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach Hit paper breakdown → | 2013 | 657 |
| 6 | Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles Hit paper breakdown → | 2020 | 601 |
| 7 | Vehicular Edge Computing and Networking: A Survey Hit paper breakdown → | 2020 | 466 |
| 8 | Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks Hit paper breakdown → | 2020 | 419 |
| 9 | Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks Hit paper breakdown → | 2018 | 393 |
| 10 | Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics Hit paper breakdown → | 2019 | 346 |
| 11 | Joint Computation Offloading and User Association in Multi-Task Mobile Edge Computing Hit paper breakdown → | 2018 | 310 |
| 12 | Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond Hit paper breakdown → | 2019 | 293 |
| 13 | Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach Hit paper breakdown → | 2019 | 283 |
| 14 | 2019 | 279 | |
| 15 | Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics Hit paper breakdown → | 2019 | 273 |
| 16 | 2019 | 258 | |
| 17 | Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks Hit paper breakdown → | 2020 | 257 |
| 18 | Optimal delay constrained offloading for vehicular edge computing networks Hit paper breakdown → | 2017 | 250 |
| 19 | 2020 | 249 | |
| 20 | Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things Hit paper breakdown → | 2019 | 247 |
About Sabita Maharjan
Sabita Maharjan is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 112 papers that have together received 14.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (32 papers), Blockchain Technology Applications and Security (29 papers), Privacy-Preserving Technologies in Data (25 papers), Smart Grid Energy Management (18 papers), Caching and Content Delivery (14 papers), Smart Grid Security and Resilience (13 papers), Age of Information Optimization (12 papers) and Vehicular Ad Hoc Networks (VANETs) (12 papers). The work is most often cited by research in Computer Networks and Communications (7.8k citations), Information Systems (5.2k citations), Artificial Intelligence (4.0k citations), Electrical and Electronic Engineering (6.5k citations) and Computer Science Applications (602 citations). Sabita Maharjan has collaborated with scholars based in Norway, China and United States. Frequent co-authors include Y Zhang, Ke Zhang, Yueyue Dai, Yunlong Lu, Xiaohong Huang, Supeng Leng, Du Xu, Stein Gjessing, Rong Yu and Xumin Huang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Network, IEEE Transactions on Vehicular Technology and IEEE Transactions on Smart Grid.
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.