Taco Cohen

4.6k citations
18 papers · 633 · h-index 10

Impact in

    • Advanced Neural Network Applications
    • Advanced Image Processing Techniques
    • Advanced Data Compression Techniques
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image and Signal Denoising Methods
    • Video Coding and Compression Technologies

Papers in

Taco Cohen

17 papers receiving 598 citations

Peers

Taco Cohen
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 377
  • Signal Processing 88
  • Health Informatics 9
  • Computer Graphics and Computer-Aided Design 21
  • Artificial Intelligence 192
Replace Sébastien Bougleux with:
Sébastien Bougleux France
Alper Güngör Türkiye
Aasa Feragen Denmark
Habibollah Danyali Iran
Edward Kim United States
Simiao Yu United Kingdom
Stéphane d’Ascoli France
Jiasong Wu China
Otkrist Gupta United States
Thomas Bülow Germany
Taco Cohen relative to Sébastien Bougleux France Sébastien Bougleux's profile →
Citations per field
00.5×3.7×
Sébastien Bougleux · 1×
Citations per year

Countries citing papers authored by Taco Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Taco Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taco Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taco Cohen Line = papers co-authored together Taco Cohen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2016201
2 2019125
3
3D steerable CNNs: learning rotationally equivariant features in volumetric data
201880
4 201966
5
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
201743
6
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
201922
7 201720
8 202116
9
Steerable CNNs
201716
10 202115
11
Improved Semantic Segmentation for Histopathology using Rotation Equivariant Convolutional Networks
20189
12 20208
13 20175
14 20154
15
Natural Graph Networks
20201
16 20241
17
A fuzzy neural network model for the estimation of the feeding rate to an anaerobic waste water treatment process
19981
18 20020

About Taco Cohen

Taco Cohen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 633 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Advanced Data Compression Techniques (4 papers), Advanced Image Processing Techniques (3 papers), Fuzzy Logic and Control Systems (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Water Quality Monitoring Technologies (2 papers), Advanced Neural Network Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Signal Processing (88 citations), Health Informatics (9 citations), Computer Graphics and Computer-Aided Design (21 citations) and Artificial Intelligence (192 citations). Taco Cohen has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Max Welling, Amirhossein Habibian, Jakub M. Tomczak, Maurice Weiler, Wouter Boomsma, Mario Geiger, Luisa Zintgraf, Tameem Adel, Yang Yang and Amir Said. Their work appears in journals such as NeuroImage Clinical, Medical Image Analysis, BMC Bioinformatics, IEEE Open Journal of Signal Processing and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

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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