G. van de Wouwer

1.0k total citations
15 papers, 302 citations indexed

About

G. van de Wouwer is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, G. van de Wouwer has authored 15 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Artificial Intelligence. Recurrent topics in G. van de Wouwer's work include Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). G. van de Wouwer is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). G. van de Wouwer collaborates with scholars based in Belgium and United States. G. van de Wouwer's co-authors include Paul Scheunders, D. Van Dyck, Stefan Livens, Barbara Weyn, Eric Van Marck, Willem Jacob, Walter Bogaerts, Samir Kumar‐Singh, Philippe Vanparys and Annelieke K. Peters and has published in prestigious journals such as Pattern Recognition, The Journal of Pathology and Journal of Microscopy.

In The Last Decade

G. van de Wouwer

15 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. van de Wouwer Belgium 7 177 109 45 45 44 15 302
Marcin Kociołek Poland 9 62 0.4× 82 0.8× 41 0.9× 75 1.7× 43 1.0× 17 315
A.G. Shanbhag United States 7 76 0.4× 114 1.0× 21 0.5× 21 0.5× 28 0.6× 14 311
Dongju Liu United States 6 84 0.5× 34 0.3× 34 0.8× 21 0.5× 29 0.7× 17 292
Jiquan Ma China 10 117 0.7× 113 1.0× 50 1.1× 141 3.1× 30 0.7× 36 330
Réka Hollandi Hungary 6 82 0.5× 77 0.7× 43 1.0× 43 1.0× 34 0.8× 10 248
Sumit K. Nath United States 6 157 0.9× 63 0.6× 34 0.8× 23 0.5× 50 1.1× 8 259
Alessandro S. Martins Brazil 11 211 1.2× 297 2.7× 26 0.6× 145 3.2× 25 0.6× 30 384
Nikita Moshkov Hungary 7 92 0.5× 89 0.8× 71 1.6× 45 1.0× 57 1.3× 12 340
Gabriel Efrain Humpire Mamani Netherlands 5 141 0.8× 78 0.7× 9 0.2× 86 1.9× 22 0.5× 6 282
Ruining Deng United States 10 128 0.7× 152 1.4× 16 0.4× 98 2.2× 23 0.5× 42 302

Countries citing papers authored by G. van de Wouwer

Since Specialization
Citations

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

Fields of papers citing papers by G. van de Wouwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. van de Wouwer. 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 G. van de Wouwer. The network helps show where G. van de Wouwer may publish in the future.

Co-authorship network of co-authors of G. van de Wouwer

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

All Works

15 of 15 papers shown
1.
Peters, Annelieke K., et al.. (2008). Automated analysis of contractility in the embryonic stem cell test, a novel approach to assess embryotoxicity. Toxicology in Vitro. 22(8). 1948–1956. 21 indexed citations
2.
Nuydens, Rony, et al.. (2005). A multiparametric assay for quantitative nerve regeneration evaluation. Journal of Microscopy. 219(2). 95–101. 6 indexed citations
3.
Wouwer, G. van de, Barbara Weyn, & D. Van Dyck. (2005). Multiscale, asymmetry signatures for texture analysis. 3. 1517–1520. 3 indexed citations
4.
Wouwer, G. van de, Rony Nuydens, Theo Meert, & Barbara Weyn. (2004). Automatic quantification of neurite outgrowth by means of image analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5324. 1–1. 3 indexed citations
5.
Wouwer, G. van de, Paul Scheunders, & D. Van Dyck. (2002). Rotation-invariant texture characterization using isotropic wavelet frames. 1. 814–816. 3 indexed citations
6.
Weyn, Barbara, Wiebren Tjalma, G. van de Wouwer, et al.. (2000). Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma.. PubMed. 22(5). 373–82. 12 indexed citations
7.
Wouwer, G. van de & Paul Scheunders. (2000). Wavelet-based texture classification. 1. 77–87. 4 indexed citations
8.
Weyn, Barbara, G. van de Wouwer, Samir Kumar‐Singh, et al.. (1999). Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis. Cytometry. 35(1). 23–29. 33 indexed citations
9.
Weyn, Barbara, G. van de Wouwer, Karl Dhaene, et al.. (1999). Value of morphometry, texture analysis, densitometry, and histometry in the differential diagnosis and prognosis of malignant mesothelioma. The Journal of Pathology. 189(4). 581–589. 20 indexed citations
10.
Wouwer, G. van de, Paul Scheunders, Stefan Livens, & D. Van Dyck. (1999). Wavelet correlation signatures for color texture characterization. Pattern Recognition. 32(3). 443–451. 90 indexed citations
11.
Weyn, Barbara, G. van de Wouwer, Paul Scheunders, et al.. (1998). Automated breast tumor diagnosis and grading based on wavelet chromatin texture description. Cytometry. 33(1). 32–40. 61 indexed citations
12.
Livens, Stefan, et al.. (1997). Wavelets for texture analysis: an overview. 814–816. 2 indexed citations
13.
Wouwer, G. van de, et al.. (1997). Rotation-invariant texture segmentation using continuous wavelets. 1 indexed citations
14.
Wouwer, G. van de, et al.. (1997). Voice Recognition from Spectrograms: A Wavelet Based Approach. Fractals. 5(supp01). 165–172. 2 indexed citations
15.
Livens, Stefan, et al.. (1996). A Texture Analysis Approach to Corrosion Image Classification. Microscopy Microanalysis Microstructures. 7(2). 143–152. 41 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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