Upul Jayasinghe

564 citations
22 papers · 390 indexed · h-index 7

Impact in

Papers in

Upul Jayasinghe

18 papers receiving 371 citations

Peers

Upul Jayasinghe
Comparison fields: 5 of 46
  • Computer Networks and Communications 296
  • Information Systems 236
  • Artificial Intelligence 139
  • Health Informatics 3
  • Signal Processing 20
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Citations per year

Countries citing papers authored by Upul Jayasinghe

Since Specialization
Citations

This map shows the geographic impact of Upul Jayasinghe'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 Upul Jayasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Upul Jayasinghe more than expected).

Fields of papers citing papers by Upul Jayasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Upul Jayasinghe. 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 Upul Jayasinghe. The network helps show where Upul Jayasinghe may publish in the future.

Co-authors

The 16 scholars most cited alongside Upul Jayasinghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Upul Jayasinghe Line = papers co-authored together Upul Jayasinghe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 201957
3 201650
4 201735
5 201724
6
A Survey on Trust Computation in the Internet of Things
201615
7 20236
8 20206
9 20135
10 20215
11 20125
12 20224
13
Leakage Based Multi User Beamforming Scheme to Mitigate Interference in MIMO-FBMC
20134
14 20183
15 20232
16 20231
17
AI and Blockchain enabled Edge of Things with Privacy Preserving Computation
20191
18 20231
19 20141
20 20231

About Upul Jayasinghe

Upul Jayasinghe is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Sociology and Political Science, having authored 22 papers that have together received 390 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Blockchain Technology Applications and Security (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cloud Data Security Solutions (5 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Cloud Computing and Resource Management (2 papers), Radio Wave Propagation Studies (2 papers) and PAPR reduction in OFDM (2 papers). The work is most often cited by research in Computer Networks and Communications (296 citations), Information Systems (236 citations), Artificial Intelligence (139 citations), Health Informatics (3 citations) and Signal Processing (20 citations). Upul Jayasinghe has collaborated with scholars based in Sri Lanka, United Kingdom and South Korea. Frequent co-authors include Gyu Myoung Lee, Tai‐Won Um, Qi Shi, Nguyen B. Truong, Áine MacDermott, Hyun–Woo Lee, Matti Latva‐aho, Nandana Rajatheva, Nathan Shone and Suneth Namal. Their work appears in journals such as Energies, EURASIP Journal on Wireless Communications and Networking, Electronics, Future Internet and IEEE Transactions on Sustainable Computing.

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.

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