Alexander Ypma

765 total citations
30 papers, 396 citations indexed

About

Alexander Ypma is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Alexander Ypma has authored 30 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Signal Processing and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Alexander Ypma's work include Speech and Audio Processing (5 papers), Time Series Analysis and Forecasting (4 papers) and Neural Networks and Applications (4 papers). Alexander Ypma is often cited by papers focused on Speech and Audio Processing (5 papers), Time Series Analysis and Forecasting (4 papers) and Neural Networks and Applications (4 papers). Alexander Ypma collaborates with scholars based in Netherlands, United States and Belgium. Alexander Ypma's co-authors include Robert P. W. Duin, Rpw Duin, Tom Heskes, Amir Leshem, Cornelis J. Stam, David M. J. Tax, Onno Zoeter, Bert de Vries, David Zhao and W. Bastiaan Kleijn and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Audio Speech and Language Processing and Artificial Intelligence in Medicine.

In The Last Decade

Alexander Ypma

26 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Ypma Netherlands 12 163 146 144 72 50 30 396
Kenji Nakayama Japan 11 127 0.8× 55 0.4× 243 1.7× 66 0.9× 16 0.3× 128 498
Włodzimierz Kasprzak Poland 10 98 0.6× 58 0.4× 150 1.0× 27 0.4× 46 0.9× 48 345
Mitsuru Kawamoto Japan 11 114 0.7× 139 1.0× 388 2.7× 48 0.7× 144 2.9× 57 622
Mohammed Waleed Kadous Australia 6 169 1.0× 35 0.2× 159 1.1× 15 0.2× 17 0.3× 8 349
Vanessa Gómez-Verdejo Spain 14 239 1.5× 42 0.3× 133 0.9× 105 1.5× 13 0.3× 41 560
Mohamed Saber Naceur Tunisia 9 110 0.7× 68 0.5× 44 0.3× 17 0.2× 26 0.5× 42 339
Xiaochen Xian United States 11 128 0.8× 87 0.6× 37 0.3× 89 1.2× 13 0.3× 33 512
Emilio Parrado-Hernández Spain 11 188 1.2× 54 0.4× 41 0.3× 29 0.4× 11 0.2× 25 414
Jens Kohlmorgen Germany 8 233 1.4× 85 0.6× 177 1.2× 222 3.1× 15 0.3× 21 537
Hong He China 12 167 1.0× 53 0.4× 90 0.6× 123 1.7× 7 0.1× 35 552

Countries citing papers authored by Alexander Ypma

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Ypma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Ypma

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Ypma. A scholar is included among the top collaborators of Alexander Ypma 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 Alexander Ypma. Alexander Ypma 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.
Lijffijt, Jefrey, et al.. (2022). Introduction to the Special Section on AI in Manufacturing. ACM SIGKDD Explorations Newsletter. 24(2). 81–85. 1 indexed citations
2.
Ypma, Alexander, et al.. (2020). Get a Human-In-The-Loop: Feature Engineering via Interactive Visualizations. Radboud Repository (Radboud University). 90–95.
3.
Guzella, Thiago, et al.. (2018). Towards Interactive Feature Selection with Human-in-the-loop.. 85–88. 1 indexed citations
5.
Moon, Jung-Hwan, et al.. (2017). Experimental verification of on-product overlay improvement by intra-lot overlay control using metrology based grouping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10147. 1014713–1014713. 2 indexed citations
6.
Ypma, Alexander & Tom Heskes. (2008). Categorization of web pages and user clustering with mixtures of hidden Markov models. Data Archiving and Networked Services (DANS). 31–43. 12 indexed citations
7.
Ypma, Alexander, et al.. (2008). Online Personalization of Hearing Instruments. EURASIP Journal on Audio Speech and Music Processing. 2008. 1–14. 1 indexed citations
8.
Ypma, Alexander, et al.. (2007). The learning hearing aid: common-sense reasoning in hearing aid circuits. TU/e Research Portal (Eindhoven University of Technology). 6 indexed citations
9.
Zoeter, Onno, Alexander Ypma, & Tom Heskes. (2005). Improved unscented kalman smoothing for stock volatility estimation. Radboud Repository (Radboud University). 143–152. 13 indexed citations
10.
Ypma, Alexander & Tom Heskes. (2005). Novel approximations for inference in nonlinear dynamical systems using expectation propagation. Neurocomputing. 69(1-3). 85–99. 13 indexed citations
11.
Ypma, Alexander & Tom Heskes. (2004). Novel approximations for inference and learning in nonlinear dynamical systems. Radboud Repository (Radboud University). 361–366. 3 indexed citations
12.
Ypma, Alexander, et al.. (2004). A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements. Artificial Intelligence in Medicine. 33(3). 209–222. 55 indexed citations
13.
Ypma, Alexander & Tom Heskes. (2004). Iterated extended Kalman smoothing with expectation-propagation. Radboud Repository (Radboud University). 219–228. 4 indexed citations
14.
Ypma, Alexander, et al.. (2004). Bayesian techniques for modelling dynamic patterns. Data Archiving and Networked Services (DANS). 1 indexed citations
15.
Ypma, Alexander & Tom Heskes. (2003). Automatic categorization of web pages and user clustering with mixtures of hidden Markov models. Lecture notes in computer science. 35–49. 13 indexed citations
16.
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
17.
Skurichina, Marina, Alexander Ypma, & Robert P. W. Duin. (2002). The role of subclasses in machine diagnostics. 2. 668–671.
18.
Ypma, Alexander, et al.. (1999). Support vector data description applied to machine vibration analysis. 398–405. 55 indexed citations
19.
Ypma, Alexander & Robert P. W. Duin. (1997). Novelty Detection Using Self-Organizing Maps.. International Conference on Neural Information Processing. 17(20). 1322–1325. 41 indexed citations
20.
Duin, Rpw, et al.. (1997). Machine Diagnostics by Neural Networks, Experimental Setup. 185–190. 4 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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