Rpw Duin

964 total citations
24 papers, 658 citations indexed

About

Rpw Duin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Rpw Duin has authored 24 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Rpw Duin's work include Neural Networks and Applications (7 papers), Imbalanced Data Classification Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Rpw Duin is often cited by papers focused on Neural Networks and Applications (7 papers), Imbalanced Data Classification Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Rpw Duin collaborates with scholars based in Netherlands, United States and United Kingdom. Rpw Duin's co-authors include David M. J. Tax, Thomas C.W. Landgrebe, Josef Kittler, Piotr Juszczak, Alexander Ypma, Reinhard Kohlus, G.M.P. van Kempen, Pavel Paclı́k, Dick de Ridder and F.C.A. Groen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Reports on Progress in Physics.

In The Last Decade

Rpw Duin

24 papers receiving 609 citations

Peers

Rpw Duin
Lipo Wang Singapore
Kebo Fu China
Bin Zou China
Fukunaga Japan
Hossein Tahani United States
Rpw Duin
Citations per year, relative to Rpw Duin Rpw Duin (= 1×) peers Boonserm Kijsirikul

Countries citing papers authored by Rpw Duin

Since Specialization
Citations

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

Fields of papers citing papers by Rpw Duin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rpw Duin

This figure shows the co-authorship network connecting the top 25 collaborators of Rpw Duin. A scholar is included among the top collaborators of Rpw Duin 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 Rpw Duin. Rpw Duin 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.
Landgrebe, Thomas C.W. & Rpw Duin. (2008). Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(5). 810–822. 82 indexed citations
2.
Tax, David M. J. & Rpw Duin. (2008). Growing a multi-class classifier with a reject option. Pattern Recognition Letters. 29(10). 1565–1570. 82 indexed citations
3.
Landgrebe, Thomas C.W. & Rpw Duin. (2007). A simplified volume under the roc hypersurface. SAIEE Africa Research Journal. 98(3). 94–100. 5 indexed citations
4.
Duin, Rpw, et al.. (2005). On Neyman-Pearson optimisation for multiclass classifiers. 165–170. 6 indexed citations
5.
Ypma, Alexander, David M. J. Tax, & Rpw Duin. (2003). Robust machine fault detection with independent component analysis and support vector data description. 67–76. 30 indexed citations
6.
Paclı́k, Pavel, Rpw Duin, G.M.P. van Kempen, & Reinhard Kohlus. (2003). Segmentation of multi-spectral images using the combined classifier approach. Image and Vision Computing. 21(6). 473–482. 31 indexed citations
7.
Duin, Rpw, et al.. (2001). Combining One-Class Classifiers.. 299–308. 2 indexed citations
8.
Juszczak, Piotr, et al.. (2000). Feature Scaling in Support Vector Data Descriptions. 95–102. 92 indexed citations
9.
Ypma, Alexander, et al.. (1999). Support vector data description applied to machine vibration analysis. 398–405. 55 indexed citations
10.
Ridder, Dick de, et al.. (1998). An experimental comparison of one-class classification methods. 213–218. 22 indexed citations
11.
Duin, Rpw, et al.. (1997). Machine Diagnostics by Neural Networks, Experimental Setup. 185–190. 4 indexed citations
12.
Duin, Rpw, et al.. (1997). Comparison between product and mean classifier combination rules. 165–170. 44 indexed citations
13.
Kittler, Josef, et al.. (1996). Combining classifiers. 897–901 vol.2. 123 indexed citations
14.
Duin, Rpw, et al.. (1990). An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross. Pattern Recognition Letters. 11(7). 501–506. 1 indexed citations
15.
Duin, Rpw, et al.. (1986). Fast percentile filtering. Pattern Recognition Letters. 4(4). 269–272. 18 indexed citations
16.
Duin, Rpw, et al.. (1986). A Hardware Design For Fast 2-D Percentile Filtering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 596. 36–36. 1 indexed citations
17.
Duin, Rpw, et al.. (1980). Progress report on pattern recognition. Reports on Progress in Physics. 43(6). 785–831. 13 indexed citations
18.
Duin, Rpw. (1978). On the accuracy of statistical pattern recognizers. Research Repository (Delft University of Technology). 10 indexed citations
19.
Duin, Rpw, et al.. (1978). On the evaluation of independent binary features (Corresp.). IEEE Transactions on Information Theory. 24(2). 248–249. 7 indexed citations
20.
Bruin, Marie L. De, et al.. (1976). THE USE OF TRACE ELEMENT CONCENTRATIONS IN THE IDENTIFICATION OF OBJECTS*. Archaeometry. 18(1). 75–83. 8 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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