Irene Moser

1.4k total citations
63 papers, 886 citations indexed

About

Irene Moser is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Irene Moser has authored 63 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 13 papers in Information Systems. Recurrent topics in Irene Moser's work include Metaheuristic Optimization Algorithms Research (23 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers). Irene Moser is often cited by papers focused on Metaheuristic Optimization Algorithms Research (23 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers). Irene Moser collaborates with scholars based in Australia, Germany and Malaysia. Irene Moser's co-authors include Aldeida Aleti, Tim Hendtlass, David E. Whisnant, Lars Grunske, Rasoul Rahmani, Indika Meedeniya, Sanaz Mostaghim, Mehdi Seyedmahmoudian, Omid Tarkhaneh and Prem Prakash Jayaraman and has published in prestigious journals such as Expert Systems with Applications, Energy and Sensors.

In The Last Decade

Irene Moser

61 papers receiving 779 citations

Peers

Irene Moser
Irene Moser
Citations per year, relative to Irene Moser Irene Moser (= 1×) peers Micael Gallego

Countries citing papers authored by Irene Moser

Since Specialization
Citations

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

Fields of papers citing papers by Irene Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Moser

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Moser. A scholar is included among the top collaborators of Irene Moser 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 Irene Moser. Irene Moser 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.
How, Bing Shen, et al.. (2025). Decarbonization of Energy Operations for Hard-to-Abate Industries Through Smart Energy System Optimization. Process Integration and Optimization for Sustainability. 9(3). 1145–1168. 1 indexed citations
2.
Chen, Stephen, Shanshan Lao, & Irene Moser. (2023). Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality. 1–6.
3.
Seyedmahmoudian, Mehdi, et al.. (2020). Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors. 20(19). 5664–5664. 6 indexed citations
4.
Rahmani, Rasoul, et al.. (2020). Modelling and optimisation of microgrid configuration for green data centres: A metaheuristic approach. Future Generation Computer Systems. 108. 742–750. 34 indexed citations
5.
Moser, Irene, Chris McCarthy, Prem Prakash Jayaraman, et al.. (2019). A Methodology for Empirically Evaluating Passenger Counting Technologies in Public Transport. Swinburne Research Bank (Swinburne University of Technology). 7 indexed citations
6.
Yang, Yun, et al.. (2017). Energy‐efficient adaptive virtual machine migration mechanism for private Clouds. Concurrency and Computation Practice and Experience. 29(18). 4 indexed citations
7.
Rahmani, Rasoul, et al.. (2017). Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. Swinburne Research Bank (Swinburne University of Technology). 1332–1339. 5 indexed citations
8.
Moser, Irene, et al.. (2017). Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering. Expert Systems with Applications. 87. 98–117. 9 indexed citations
9.
Moser, Irene, et al.. (2017). Re-imaginig the Networks. Swinburne Research Bank (Swinburne University of Technology). 974–981. 1 indexed citations
10.
Aleti, Aldeida, Irene Moser, & Lars Grunske. (2016). Analysing the fitness landscape of search-based software testing problems. Automated Software Engineering. 24(3). 603–621. 35 indexed citations
11.
Aleti, Aldeida & Irene Moser. (2016). A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms. ACM Computing Surveys. 49(3). 1–35. 110 indexed citations
12.
Moser, Irene, et al.. (2016). A survey on Energy-Aware Cloud. 3 indexed citations
13.
Thiruvady, Dhananjay, et al.. (2016). A mixed integer linear programming model for reliability optimisation in the component deployment problem. Journal of the Operational Research Society. 67(8). 1050–1060. 13 indexed citations
14.
Moser, Irene, et al.. (2015). The Effects of Hotspot Detection and Virtual Machine Migration Policies on Energy Consumption and Service Levels in the Cloud. Procedia Computer Science. 51. 2794–2798. 16 indexed citations
15.
Thiruvady, Dhananjay, et al.. (2014). Constraint Programming and Ant Colony System for the Component Deployment Problem. Procedia Computer Science. 29. 1937–1947. 8 indexed citations
16.
Masrom, Suraya, et al.. (2013). Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators. eCite Digital Repository (University of Tasmania). 153–158. 12 indexed citations
17.
Aleti, Aldeida & Irene Moser. (2013). Studying feedback mechanisms for adaptive parameter control in evolutionary algorithms. Swinburne Research Bank (Swinburne University of Technology). 3117–3124. 4 indexed citations
18.
Moser, Irene, et al.. (2012). Combining search space diagnostics and optimisation. Swinburne Research Bank (Swinburne University of Technology). 31. 1–8. 8 indexed citations
19.
Hendtlass, Tim, Irene Moser, & Marcus Randall. (2006). Dynamic Problems and Nature Inspired Meta-Heuristics. 111–111. 5 indexed citations
20.
Moser, Irene & Tim Hendtlass. (2006). Solving Problems with Hidden Dynamics – Comparison of Extremal Optimisation and Ant Colony System. Figshare. 1248–1255. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026