Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
6G Internet of Things: A Comprehensive Survey
2021838 citationsPubudu N. Pathirana, Aruna Seneviratne et al.profile →
A Survey of Wearable Devices and Challenges
2017515 citationsSuranga Seneviratne, Yining Hu et al.IEEE Communications Surveys & Tutorialsprofile →
Federated Learning for Smart Healthcare: A Survey
2022404 citationsPubudu N. Pathirana, Aruna Seneviratne et al.profile →
A Survey of COVID-19 Contact Tracing Apps
2020379 citationsNadeem Ahmed, Regio A. Michelin et al.IEEE Accessprofile →
Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems
2019368 citationsPubudu N. Pathirana, Aruna Seneviratne et al.IEEE Accessprofile →
Blockchain for 5G and beyond networks: A state of the art survey
2020250 citationsPubudu N. Pathirana, Aruna Seneviratne et al.Journal of Network and Computer Applicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Aruna Seneviratne
Since
Specialization
Citations
This map shows the geographic impact of Aruna Seneviratne'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 Aruna Seneviratne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna Seneviratne more than expected).
Fields of papers citing papers by Aruna Seneviratne
This network shows the impact of papers produced by Aruna Seneviratne. 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 Aruna Seneviratne. The network helps show where Aruna Seneviratne may publish in the future.
Co-authorship network of co-authors of Aruna Seneviratne
This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Seneviratne.
A scholar is included among the top collaborators of Aruna Seneviratne based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Aruna Seneviratne. Aruna Seneviratne is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ahmed, Nadeem, Regio A. Michelin, Wanli Xue, et al.. (2020). A Survey of COVID-19 Contact Tracing Apps. IEEE Access. 8. 134577–134601.379 indexed citations breakdown →
Landfeldt, Björn, et al.. (2003). User mobility in IP networks: current issues and recent developments. Lund University Publications (Lund University). 197–225.1 indexed citations
17.
Seneviratne, Aruna, et al.. (2002). Adaptive Packet Level Redundancy Mechanisms for Reliable Mobile Multicast: Proposed Architecture and Performance Analysis.1 indexed citations
18.
Landfeldt, Björn, et al.. (2000). The Challenges of Provisioning Real-Time Services in Wireless Internet. Lund University Publications (Lund University).6 indexed citations
19.
Indulska, Jadwiga & Aruna Seneviratne. (1999). Proceedings of IEEE International Conference on Networks. 1.22 indexed citations
20.
Zhou, Shuai, et al.. (1997). A Hybrid Handoff Scheme with Prediction Enhancement for Wireless ATM Network.3 indexed citations
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.