Rukshan Athauda

663 total citations
44 papers, 406 citations indexed

About

Rukshan Athauda is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Rukshan Athauda has authored 44 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Computer Science Applications and 9 papers in Computer Networks and Communications. Recurrent topics in Rukshan Athauda's work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Access Control and Trust (6 papers). Rukshan Athauda is often cited by papers focused on Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Access Control and Trust (6 papers). Rukshan Athauda collaborates with scholars based in Australia, Saudi Arabia and Sri Lanka. Rukshan Athauda's co-authors include Geoff Skinner, Ilung Pranata, Raymond Chiong, Yuan Gao, Jesse S. Jin, Suhuai Luo, X U Hong-Feng, Yan Jiang, Thomas Weise and Xiaobin Ma and has published in prestigious journals such as Journal of the Association for Information Systems, Education and Information Technologies and Journal of the Audio Engineering Society.

In The Last Decade

Rukshan Athauda

40 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rukshan Athauda Australia 13 126 96 92 73 64 44 406
Nasser Giacaman New Zealand 12 252 2.0× 181 1.9× 108 1.2× 91 1.2× 43 0.7× 73 560
Michael J. Oudshoorn United States 11 135 1.1× 219 2.3× 99 1.1× 67 0.9× 27 0.4× 51 409
Adriana E. Chis Ireland 10 72 0.6× 138 1.4× 38 0.4× 85 1.2× 28 0.4× 21 345
Juan Pablo de Castro Fernández Spain 11 204 1.6× 121 1.3× 102 1.1× 124 1.7× 48 0.8× 30 418
Wilkerson L. Andrade Brazil 12 223 1.8× 142 1.5× 64 0.7× 72 1.0× 20 0.3× 64 427
Ingrid Russell United States 13 138 1.1× 119 1.2× 197 2.1× 20 0.3× 48 0.8× 61 484
Vicki H. Allan United States 12 165 1.3× 48 0.5× 79 0.9× 58 0.8× 37 0.6× 60 631
Krishna Madhavan United States 11 336 2.7× 154 1.6× 211 2.3× 134 1.8× 47 0.7× 46 629
Luisa M. Regueras Spain 11 217 1.7× 123 1.3× 107 1.2× 134 1.8× 49 0.8× 26 417
Yu-Lin Jeng Taiwan 12 68 0.5× 154 1.6× 114 1.2× 62 0.8× 16 0.3× 26 433

Countries citing papers authored by Rukshan Athauda

Since Specialization
Citations

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

Fields of papers citing papers by Rukshan Athauda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rukshan Athauda

This figure shows the co-authorship network connecting the top 25 collaborators of Rukshan Athauda. A scholar is included among the top collaborators of Rukshan Athauda 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 Rukshan Athauda. Rukshan Athauda 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.
2.
Athauda, Rukshan, et al.. (2024). An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention. International Journal of Artificial Intelligence in Education. 35(3). 1239–1287. 8 indexed citations
3.
Athauda, Rukshan, et al.. (2024). Evaluating the student performance prediction and action framework through a learning analytics intervention study. Education and Information Technologies. 30(3). 2887–2916. 8 indexed citations
4.
5.
Athauda, Rukshan, et al.. (2022). Professional Views of Digital Audio Workstations and Collaborative Audio Mixing. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Athauda, Rukshan, et al.. (2022). A new audio mixing paradigm: evaluation from professional practitioners’ perspectives. Creative Industries Journal. 17(3). 332–380.
7.
Chiong, Raymond, et al.. (2021). Early Detection of Under-Performing Students Using Machine Learning Algorithms. 1–8. 4 indexed citations
8.
Abedi, Mehdi, et al.. (2019). A Regional Multi-Objective Tabu Search Algorithm for a Green Heterogeneous Dial-A-Ride Problem. 2082–2089. 2 indexed citations
9.
Athauda, Rukshan, et al.. (2017). Designing User Interfaces for the Elderly: A Systematic Literature Review. Journal of the Association for Information Systems. 37 indexed citations
10.
Pranata, Ilung, et al.. (2016). A review of contemporary virtual and remote laboratory implementations: observations and findings. Journal of Computers in Education. 3(3). 329–351. 71 indexed citations
11.
Athauda, Rukshan, et al.. (2014). A survey of CSCL script tools that support designing collaborative scenarios. 8. 1–8. 4 indexed citations
12.
Skinner, Geoff, et al.. (2014). Personalizing open learning environments through the adaptation to learning styles. NOVA (University of Newcastle Australia). 6 indexed citations
13.
Pranata, Ilung, Geoff Skinner, & Rukshan Athauda. (2014). A Holistic Review on Trust and Reputation Management Systems for Digital Environments. NOVA (University of Newcastle Australia). 13 indexed citations
14.
Pranata, Ilung, Rukshan Athauda, & Geoff Skinner. (2013). Modeling Decentralized Reputation-Based Trust for Initial Transactions in Digital Environments. ACM Transactions on Internet Technology. 12(3). 1–35. 7 indexed citations
15.
Pranata, Ilung, Rukshan Athauda, & Geoff Skinner. (2012). Securing and Governing Access in Ad-Hoc Networks of Internet of Things. 14 indexed citations
16.
Newby, David, Richard Huan Xu, Peter Summons, et al.. (2011). Development of a computer-generated digital patient for teaching and assessment in pharmacy: final report. NOVA (University of Newcastle, Australia). 1 indexed citations
17.
Pranata, Ilung, Geoff Skinner, & Rukshan Athauda. (2011). TIDE. 9–16. 4 indexed citations
18.
Athauda, Rukshan, et al.. (2006). Discovery of Strongly Related Subjects in the Undergraduate Syllabi using Data Mining. 57–62. 16 indexed citations
19.
20.
Rishe, Naphtali, et al.. (2000). Semantic Access: Semantic Interface for Querying Databases. Very Large Data Bases. 591–594. 14 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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