Katrien De Cock

27 papers receiving 444 citations

Peers

Katrien De Cock
Comparison fields: 5 of 74
  • Plant Science 164
  • Ecology, Evolution, Behavior and Systematics 130
  • Molecular Biology 117
  • Computer Vision and Pattern Recognition 104
  • Genetics 96
Replace Jian-Wei Su with:
Jian-Wei Su China
Andrew I. Hanna United Kingdom
Mathias Otto Germany
Andrew P. Brown United States
Yuanxi Li China
Han Xu China
Tomislav Kos Croatia
Mengmeng Lu United States
Christopher Town United Kingdom
Daniel S. Song United States
Katrien De Cock relative to Jian-Wei Su China Jian-Wei Su's profile →
Citations per field
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Citations per year

Countries citing papers authored by Katrien De Cock

Since Specialization
Citations

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

Fields of papers citing papers by Katrien De Cock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrien De Cock. 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 Katrien De Cock. The network helps show where Katrien De Cock may publish in the future.

Co-authorship network of co-authors of Katrien De Cock

This figure shows the co-authorship network connecting the top 25 collaborators of Katrien De Cock. A scholar is included among the top collaborators of Katrien De Cock 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 Katrien De Cock. Katrien De Cock 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
#WorkIndexed citations
1 28
2 38
3 145
4 1
5 9
6 4
7
When is a pole spurious
2
8 0
9 2
10 17
11
Diversity of the willow complex Salix alba - S x rubens - S-fragilis
14
12
Stochastic simulation and parameter estimation of enzyme reaction models
2
13 2
14 22
15
Canonical Correlations between input and output processes of linear stochastic models
1
16 78
17
Principal Angles in System Theory, Information Theory and Signal Processing
12
18
Differences in geographic distribution and habitat of some cryptic species in the Pardosa lugubris group (Lycosidae, Araneae) in Belgium
10
19
Identification of the circulant modulated Poisson process: a time domain approach
2
20 2

About Katrien De Cock

Katrien De Cock is a scholar working on Signal Processing, Control and Systems Engineering and Computational Theory and Mathematics, having authored 30 papers that have together received 468 indexed citations. Recurring topics across this work include Control Systems and Identification (6 papers), Fault Detection and Control Systems (5 papers) and Structural Health Monitoring Techniques (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (130 citations), Computer Vision and Pattern Recognition (104 citations) and Signal Processing (50 citations). Katrien De Cock has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Bart De Moor, Jan De Riek, Hilde Nybom, M.J.M. Smulders, Johan Van Huylenbroeck, Kristine Vander Mijnsbrugge, Peter Breyne, Marcus Linde, Volker Wissemann and B. Vosman. Their work appears in journals such as The Journal of Chemical Physics, Annals of Botany and American Journal of Botany.

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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