Thilina Ranbaduge

728 total citations
33 papers, 271 citations indexed

About

Thilina Ranbaduge is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Thilina Ranbaduge has authored 33 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Management Science and Operations Research and 8 papers in Information Systems. Recurrent topics in Thilina Ranbaduge's work include Privacy-Preserving Technologies in Data (24 papers), Data Quality and Management (24 papers) and Cryptography and Data Security (13 papers). Thilina Ranbaduge is often cited by papers focused on Privacy-Preserving Technologies in Data (24 papers), Data Quality and Management (24 papers) and Cryptography and Data Security (13 papers). Thilina Ranbaduge collaborates with scholars based in Australia, Germany and United Kingdom. Thilina Ranbaduge's co-authors include Peter Christen, Rainer Schnell, Dinusha Vatsalan, Sean Randall, David B. Smith, Kee Siong Ng, Thierry Rakotoarivelo, Eilidh Garrett, Michael Purcell and Gabriel T. W. Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Thilina Ranbaduge

30 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thilina Ranbaduge Australia 9 214 181 69 32 21 33 271
Alexandros Karakasidis Greece 8 144 0.7× 130 0.7× 62 0.9× 12 0.4× 61 2.9× 17 217
Peter‐Paul de Wolf Netherlands 3 163 0.8× 42 0.2× 31 0.4× 65 2.0× 10 0.5× 6 216
Sarah Giessing Netherlands 2 165 0.8× 40 0.2× 31 0.4× 65 2.0× 10 0.5× 4 212
Sidharth Mudgal United States 5 295 1.4× 255 1.4× 98 1.4× 8 0.3× 42 2.0× 7 351
Dimitrios Kotzias United States 6 179 0.8× 18 0.1× 68 1.0× 20 0.6× 11 0.5× 10 275
Raquel Martínez Spain 8 145 0.7× 22 0.1× 96 1.4× 51 1.6× 18 0.9× 16 250
Yannis Katsis United States 10 193 0.9× 28 0.2× 49 0.7× 18 0.6× 37 1.8× 31 299
Jan Vosecky Hong Kong 8 176 0.8× 46 0.3× 172 2.5× 34 1.1× 33 1.6× 12 298
Ian Millard United Kingdom 9 189 0.9× 86 0.5× 108 1.6× 13 0.4× 72 3.4× 20 227
Xiaoyuan Wang China 4 311 1.5× 45 0.2× 29 0.4× 158 4.9× 8 0.4× 11 337

Countries citing papers authored by Thilina Ranbaduge

Since Specialization
Citations

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

Fields of papers citing papers by Thilina Ranbaduge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thilina Ranbaduge

This figure shows the co-authorship network connecting the top 25 collaborators of Thilina Ranbaduge. A scholar is included among the top collaborators of Thilina Ranbaduge 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 Thilina Ranbaduge. Thilina Ranbaduge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Mengmeng, Youyang Qu, Thilina Ranbaduge, et al.. (2025). From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways. ACM Computing Surveys. 58(8). 1–38. 2 indexed citations
2.
Ranbaduge, Thilina, et al.. (2025). POSTER: When Models Speak Too Much: Privacy Leakage on Large Language Models. 1809–1811.
3.
Kaphle, Anubhav, Natalie A. Twine, Yuwan Malakar, et al.. (2024). Future-proofing genomic data and consent management: a comprehensive review of technology innovations. GigaScience. 13. 7 indexed citations
4.
Ranbaduge, Thilina, et al.. (2024). Encryption-based sub-string matching for privacy-preserving record linkage. Journal of Information Security and Applications. 81. 103712–103712. 2 indexed citations
5.
Purcell, Michael, et al.. (2023). Private Graph Data Release: A Survey. ACM Computing Surveys. 55(11). 1–39. 10 indexed citations
6.
Christen, Peter, et al.. (2023). A Vulnerability Assessment Framework for Privacy-preserving Record Linkage. ACM Transactions on Privacy and Security. 26(3). 1–31. 5 indexed citations
7.
Christen, Peter, et al.. (2022). Unsupervised Graph-Based Entity Resolution for Complex Entities. ACM Transactions on Knowledge Discovery from Data. 17(1). 1–30. 5 indexed citations
8.
Ranbaduge, Thilina, et al.. (2022). Taxonomy of Attacks on Privacy-Preserving Record Linkage. 12(1). 14 indexed citations
9.
Christen, Peter, Thilina Ranbaduge, & Rainer Schnell. (2021). Linking Sensitive Data: Methods and Techniques for Practical Privacy-Preserving Information Sharing. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Christen, Peter, Thilina Ranbaduge, & Rainer Schnell. (2021). Linking Sensitive Data: Methods and Techniques for Practical Privacy-Preserving Information Sharing: Synopsis by Kerina Jones. International Journal for Population Data Science. 6(2). 6 indexed citations
11.
Christen, Peter, et al.. (2021). A critique and attack on “Blockchain-based privacy-preserving record linkage”. Information Systems. 108. 101930–101930. 9 indexed citations
12.
Christen, Peter, et al.. (2020). An Anonymiser Tool for Sensitive Graph Data.. ANU Open Research (Australian National University).
13.
Ranbaduge, Thilina, et al.. (2020). Privacy Attack on Multiple Dynamic Match-key based Privacy-Preserving Record Linkage. International Journal for Population Data Science. 5(1). 1345–1345. 8 indexed citations
14.
Christen, Peter, et al.. (2020). A Graph Matching Attack on Privacy-Preserving Record Linkage. ANU Open Research (Australian National University). 1485–1494. 21 indexed citations
15.
Ranbaduge, Thilina, et al.. (2019). Efficient Pattern Mining Based Cryptanalysis for Privacy-Preserving Record Linkage. ANU Open Research (Australian National University). 1698–1701. 27 indexed citations
16.
Christen, Peter, et al.. (2019). Evaluation measure for group-based record linkage. International Journal for Population Data Science. 4(1). 1127–1127. 6 indexed citations
17.
Manning, Matthew, Gabriel T. W. Wong, Timothy Graham, et al.. (2018). Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions. Crime Science. 7(1). 12–12. 10 indexed citations
18.
Christen, Peter, Thilina Ranbaduge, Dinusha Vatsalan, & Rainer Schnell. (2018). Precise and Fast Cryptanalysis for Bloom Filter Based Privacy-Preserving Record Linkage. IEEE Transactions on Knowledge and Data Engineering. 31(11). 2164–2177. 37 indexed citations
19.
Ranbaduge, Thilina & Peter Christen. (2018). Privacy-Preserving Temporal Record Linkage. ANU Open Research (Australian National University). 1. 377–386. 7 indexed citations
20.
Ranbaduge, Thilina, Peter Christen, & Dinusha Vatsalan. (2014). Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage. ANU Open Research (Australian National University). 31–42. 4 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.

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