Michael G. Madden

2.7k total citations · 1 hit paper
65 papers, 1.3k citations indexed

About

Michael G. Madden is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Michael G. Madden has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Michael G. Madden's work include Fault Detection and Control Systems (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Spectroscopy and Chemometric Analyses (7 papers). Michael G. Madden is often cited by papers focused on Fault Detection and Control Systems (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Spectroscopy and Chemometric Analyses (7 papers). Michael G. Madden collaborates with scholars based in Ireland, United States and Saudi Arabia. Michael G. Madden's co-authors include Shehroz S. Khan, Tom Howley, Alan G. Ryder, Niall O’Connor, Marie-Louise O’Connell, Gerard J. Lyons, P. Nolan, Dayong Gao, Gunnar Lucko and Jennifer Conroy and has published in prestigious journals such as Scientific Reports, IEEE Access and BMC Bioinformatics.

In The Last Decade

Michael G. Madden

59 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

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.

One-class classification: taxonomy of study and review of techniques

2014 399 citations Shehroz S. Khan, Michael G. Madden The Knowledge Engineering Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael G. Madden Ireland	16	611	207	135	134	110	65	1.3k
Kenneth W. Bauer United States	19	553 0.9×	237 1.1×	149 1.1×	110 0.8×	127 1.2×	119	1.3k
Chieh-Jen Wang Taiwan	6	923 1.5×	261 1.3×	121 0.9×	190 1.4×	63 0.6×	19	1.7k
Alan Jović Croatia	18	743 1.2×	237 1.1×	71 0.5×	81 0.6×	116 1.1×	66	1.9k
João Mendes‐Moreira Portugal	16	383 0.6×	154 0.7×	89 0.7×	176 1.3×	101 0.9×	58	1.7k
Vahid Behbood Australia	11	671 1.1×	246 1.2×	83 0.6×	101 0.8×	87 0.8×	20	1.3k
Harun Uğuz Türkiye	15	824 1.3×	264 1.3×	56 0.4×	133 1.0×	74 0.7×	37	1.5k
Nazri Mohd Nawi Malaysia	18	510 0.8×	171 0.8×	79 0.6×	98 0.7×	180 1.6×	104	1.3k
Agapito Ledezma Spain	19	586 1.0×	175 0.8×	84 0.6×	74 0.6×	138 1.3×	81	1.2k
Carl G. Looney United States	14	522 0.9×	357 1.7×	87 0.6×	150 1.1×	87 0.8×	47	1.4k

Countries citing papers authored by Michael G. Madden

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Madden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Madden. 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 Michael G. Madden. The network helps show where Michael G. Madden may publish in the future.

Co-authorship network of co-authors of Michael G. Madden

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

All Works

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20 of 20 papers shown

Longo, Francesco, et al.. (2025). Towards a Digital Twin for Production Planning: Combining Discrete Event Simulation and ML for Flexible Job Shops. Procedia Computer Science. 253. 3078–3087.

Madden, Michael G., et al.. (2025). Automated assessment of simulated laparoscopic surgical skill performance using deep learning. Scientific Reports. 15(1). 13591–13591. 3 indexed citations

Ullah, Ihsan, et al.. (2025). Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space. IEEE Open Journal of Vehicular Technology. 6. 1673–1685.

Syed, Jamil, et al.. (2024). The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning. Intensive Care Medicine Experimental. 12(1). 103–103. 5 indexed citations

Verma, Ghanshyam, Dietrich Rebholz‐Schuhmann, & Michael G. Madden. (2024). Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base. BMC Bioinformatics. 25(1). 62–62. 2 indexed citations

Ryan, John, Ciara Hanley, Conor Judge, et al.. (2024). A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population. Intensive Care Medicine Experimental. 12(1). 71–71. 5 indexed citations

Jones, Tim, Conor Judge, Talha Iqbal, et al.. (2023). Development and assessment of the performance of a shared ventilatory system that uses clinically available components to individualize tidal volumes. BMC Anesthesiology. 23(1). 239–239. 1 indexed citations

Hussain, Shahid, Subhasis Thakur, Saurabh Shukla, et al.. (2022). A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles. Energies. 15(4). 1304–1304. 21 indexed citations

Ullah, Ihsan, et al.. (2021). Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. 5451–5458. 1 indexed citations

10.

Khan, Shehroz S. & Michael G. Madden. (2014). One-class classification: taxonomy of study and review of techniques. The Knowledge Engineering Review. 29(3). 345–374. 399 indexed citations breakdown →

11.

Madden, Michael G., et al.. (2012). Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference. International Journal of Approximate Reasoning. 54(2). 323–342. 7 indexed citations

12.

Lucko, Gunnar, et al.. (2010). Comparison of manual and automated simulation generation approaches and their use for construction applications. Proceedings of the 2010 Winter Simulation Conference. 3132–3144. 6 indexed citations

13.

Lucko, Gunnar, et al.. (2009). Rapid deployment of simulation models for building construction applications. Winter Simulation Conference. 2733–2744. 9 indexed citations

14.

Russell, Stuart, Michael G. Madden, Diane Morabito, et al.. (2008). Probabilistic detection of short events, with application to critical care monitoring. neural information processing systems. 21. 49–56. 9 indexed citations

15.

Madden, Michael G.. (2006). Learning curve application to space shuttle processing simulations. Winter Simulation Conference. 1240–1247.

16.

Madden, Michael G., et al.. (2005). A strategy for autogeneration of space shuttle ground processing simulation models for project makespan estimation. Winter Simulation Conference. 1251–1259. 2 indexed citations

17.

Xing, Yan, Michael G. Madden, Jim Duggan, & Gerard J. Lyons. (2005). Context-sensitive regression analysis for distributed data. Lecture notes in computer science. 292–299.

18.

Madden, Michael G. & Tom Howley. (2004). Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty. Artificial Intelligence Review. 21(3-4). 375–398. 34 indexed citations

19.

Madden, Michael G. & P. Nolan. (1970). Generation Of Fault Trees From SimulatedIncipient Fault Case Data. WIT transactions on information and communication technologies. 6. 11 indexed citations

20.

Madden, Michael G.. (1970). Hierarchically Structured Inductive LearningFor Fault Diagnosis. WIT transactions on information and communication technologies. 20. 2 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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