Catherine Timmermans

403 total citations
12 papers, 262 citations indexed

About

Catherine Timmermans is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Catherine Timmermans has authored 12 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Catherine Timmermans's work include Neural Networks and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers) and Image and Signal Denoising Methods (2 papers). Catherine Timmermans is often cited by papers focused on Neural Networks and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers) and Image and Signal Denoising Methods (2 papers). Catherine Timmermans collaborates with scholars based in Belgium, France and Canada. Catherine Timmermans's co-authors include Catherine M. Anderson, S. Deborah Lucy, Tom J. Overend, David Venet, Tomasz Burzykowski, Rainer von Sachs, Piotr Fryźlewicz, Catherine Legrand, Marc Buyse and Alain Hauchecorne and has published in prestigious journals such as CHEST Journal, Journal of Computational and Graphical Statistics and Journal of Multivariate Analysis.

In The Last Decade

Catherine Timmermans

12 papers receiving 242 citations

Peers

Catherine Timmermans
Edward T. Qian United States
John G. Ferguson United States
Christopher S. Josef United States
Tudor Toma United Kingdom
Kevin P. Seitz United States
Byungjin Choi South Korea
Catherine Timmermans
Citations per year, relative to Catherine Timmermans Catherine Timmermans (= 1×) peers Lígia Nasi Laranjeira

Countries citing papers authored by Catherine Timmermans

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Timmermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Timmermans

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

All Works

12 of 12 papers shown
1.
Venet, David, et al.. (2016). Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials. Statistics in Biopharmaceutical Research. 9(1). 1–11. 12 indexed citations
2.
Fryźlewicz, Piotr & Catherine Timmermans. (2015). SHAH: SHape-Adaptive Haar Wavelets for Image Processing. Journal of Computational and Graphical Statistics. 25(3). 879–898. 6 indexed citations
3.
Timmermans, Catherine, David Venet, & Tomasz Burzykowski. (2015). Data-driven risk identification in phase III clinical trials using central statistical monitoring. International Journal of Clinical Oncology. 21(1). 38–45. 16 indexed citations
4.
Timmermans, Catherine, et al.. (2015). Statistical monitoring of data quality and consistency in the Stomach Cancer Adjuvant Multi-institutional Trial Group Trial. Gastric Cancer. 19(1). 24–30. 14 indexed citations
5.
Timmermans, Catherine & Rainer von Sachs. (2014). A novel semi-distance for measuring dissimilarities of curves with sharp local patterns. Journal of Statistical Planning and Inference. 160. 35–50. 3 indexed citations
6.
Hochedez, J.‐F., Catherine Timmermans, Alain Hauchecorne, & Mustapha Meftah. (2014). Dark signal correction for a lukecold frame-transfer CCD: New method and application to the solar imager of the PICARD space mission. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Timmermans, Catherine, et al.. (2012). Using Bagidis in nonparametric functional data analysis: Predicting from curves with sharp local features. Journal of Multivariate Analysis. 115. 421–444. 7 indexed citations
8.
Timmermans, Catherine, et al.. (2012). Advantages of the Bagidis methodology for metabonomics analyses: application to a spectroscopic study of Age-related Macular Degeneration. Open Repository and Bibliography (University of Liège). 2 indexed citations
9.
Timmermans, Catherine & Piotr Fryźlewicz. (2012). Shah: Shape-Adaptive Haar Wavelet Transform For Images With Application To Classification. RePEc: Research Papers in Economics. 2 indexed citations
10.
Timmermans, Catherine. (2012). Investigating functional data with sharp local features with applications to spectroscopy. Digital Access to Libraries. 1 indexed citations
11.
Timmermans, Catherine & Rainer von Sachs. (2010). BAGIDIS, a new method for statistical analysis of differences between curves with sharp discontinuities. Open Repository and Bibliography (University of Liège). 3 indexed citations
12.
Overend, Tom J., et al.. (2001). The Effect of Incentive Spirometry on Postoperative Pulmonary Complications. CHEST Journal. 120(3). 971–978. 195 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