George Irwin

731 total citations
50 papers, 489 citations indexed

About

George Irwin is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, George Irwin has authored 50 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Control and Systems Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in George Irwin's work include Neural Networks and Applications (16 papers), Fault Detection and Control Systems (8 papers) and Scientific Measurement and Uncertainty Evaluation (8 papers). George Irwin is often cited by papers focused on Neural Networks and Applications (16 papers), Fault Detection and Control Systems (8 papers) and Scientific Measurement and Uncertainty Evaluation (8 papers). George Irwin collaborates with scholars based in United Kingdom, Ireland and Malaysia. George Irwin's co-authors include Seán McLoone, Gordon Lightbody, Robert J. Kee, William G. Scanlon, B.W. Hogg, Michael Brown, G. McCullough, Uwe Krüger, De-Shuang Huang and Chun-Hou Zheng and has published in prestigious journals such as Neural Computation, Neurocomputing and Review of Scientific Instruments.

In The Last Decade

George Irwin

44 papers receiving 458 citations

Peers

George Irwin

CSE

CNC

CVPR

Niranjan Subrahmanya United States

T. Brotherton United States

Yingchao Xiao China

Jian-Xun Peng United Kingdom

E.B. Bartlett United States

Chi‐Hsu Wang Taiwan

Venkatesh Rajagopalan United States

Laurent Bako France

H.F. VanLandingham United States

Ryan Mackey United States

Niranjan Subrahmanya United States

George Irwin

283 ×1.3

135 ×0.7

CSE

55 ×0.7

29 ×0.4

CNC

79 ×1.2

CVPR

Citations per year, relative to George Irwin George Irwin (= 1×) peers Niranjan Subrahmanya

Countries citing papers authored by George Irwin

Since Specialization

Citations

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

Fields of papers citing papers by George Irwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Irwin

This figure shows the co-authorship network connecting the top 25 collaborators of George Irwin. A scholar is included among the top collaborators of George Irwin 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 George Irwin. George Irwin 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

Li, Kang, et al.. (2010). Life System Modeling and Intelligent Computing - Lecture Notes in Computer Science, Vol. 6328. Research Portal (Queen's University Belfast). 2 indexed citations

Irwin, George, et al.. (2008). A Two-Stage SVM Classifier for Large Data Sets with Application to RNA Sequence Detection. Research Portal (Queen's University Belfast).

Zheng, Chun-Hou, De-Shuang Huang, Kang Li, George Irwin, & Zhan-Li Sun. (2007). MISEP Method for Postnonlinear Blind Source Separation. Neural Computation. 19(9). 2557–2578. 22 indexed citations

McLoone, Seán, et al.. (2006). Exploiting A Priori Time Constant Ratio Information in Difference Equation Two-Thermocouple Sensor Characterization. IEEE Sensors Journal. 6(6). 1627–1637. 9 indexed citations

Krüger, Uwe, et al.. (2005). A Nonlinearity Measure for Principal Component Models. Computers & Chemical Engineering. 2355–2362. 1 indexed citations

Krüger, Uwe, et al.. (2005). Fault diagnosis in internal combustion engines using non-linear multivariate statistics. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 219(4). 243–258. 25 indexed citations

Irwin, George, et al.. (2005). Analysis of an IEEE 802.11b wireless networked control system. Research Portal (Queen's University Belfast). 12 indexed citations

Irwin, George, et al.. (2005). Difference equation approach to two-thermocouple sensor characterization in constant velocity flow environments. Review of Scientific Instruments. 76(2). 30 indexed citations

Irwin, George, et al.. (2003). A case Study on Direct Reinforcement Neurocontrol. Research Portal (Queen's University Belfast).

10.

McLoone, Seán, et al.. (2002). A Novel Approach to Two-wire Thermocouple Temperature Reconstruction. Research Portal (Queen's University Belfast). 5 indexed citations

11.

Asirvadam, Vijanth Sagayan, Seán McLoone, & George Irwin. (2002). Minimal Update Sequential Learning Algorithms for RBF Networks. Research Portal (Queen's University Belfast). 4 indexed citations

12.

Qi, Rong, George Irwin, & Seán McLoone. (2001). Velocity-based local PID controller network. Research Portal (Queen's University Belfast).

13.

Asirvadam, Vijanth Sagayan, Seán McLoone, & George Irwin. (2001). Date store management in sliding window based on-line identification algorithms. Research Portal (Queen's University Belfast). 2 indexed citations

14.

McLoone, Seán & George Irwin. (1999). A Variable Memory Quasi-Newton Training Algorithm. Neural Processing Letters. 9(1). 77–89. 13 indexed citations

15.

McLoone, Seán, et al.. (1998). A hybrid linear/nonlinear training algorithm for feedforward neural networks. IEEE Transactions on Neural Networks. 9(4). 669–684. 93 indexed citations

16.

Irwin, George, et al.. (1998). Process Dynamic Modelling Using Continuous Time Local Model Networks. IFAC Proceedings Volumes. 31(4). 149–154. 4 indexed citations

17.

Irwin, George, et al.. (1997). Nonlinear state estimation using fuzzy local linear models. International Journal of Systems Science. 28(7). 643–656. 17 indexed citations

18.

Hunt, Kenneth J., George Irwin, & Kevin Warwick. (1995). Neural Network Engineering in Dynamic Control Systems: Advances in Industrial Control. Springer eBooks. 278–278. 10 indexed citations

19.

Irwin, George, et al.. (1995). Neural network modelling of a 200 MW boiler system. IEE Proceedings - Control Theory and Applications. 142(6). 529–536. 43 indexed citations

20.

McLoone, Seán & George Irwin. (1994). Insights into Multilayer Perceptrons and their Training. Research Portal (Queen's University Belfast). 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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