Joes Staal

6.1k total citations · 2 hit papers
12 papers, 4.2k citations indexed

About

Joes Staal is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joes Staal has authored 12 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Ophthalmology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joes Staal's work include Medical Image Segmentation Techniques (7 papers), Retinal Imaging and Analysis (5 papers) and Retinal Diseases and Treatments (5 papers). Joes Staal is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Retinal Imaging and Analysis (5 papers) and Retinal Diseases and Treatments (5 papers). Joes Staal collaborates with scholars based in Netherlands, Germany and United States. Joes Staal's co-authors include Bram van Ginneken, Michael D. Abràmoff, Meindert Niemeijer, Max A. Viergever, Marco Loog, Bart M. ter Haar Romeny, Maria S.A. Suttorp-Schulten, Alejandro F. Frangi, Stiliyan Kalitzin and Alan Brett and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Joes Staal

12 papers receiving 4.0k citations

Hit Papers

Ridge-Based Vessel Segmentation in Color Images of the Re... 2004 2026 2011 2018 2004 2004 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ridge-Based Vessel Segmentation in Color Images of the Retina
    2004 2.8k citations Joes Staal, Michael D. Abràmoff et al. IEEE Transactions on Medical Imaging profile →
  2. Comparative study of retinal vessel segmentation methods on a new publicly available database
    2004 585 citations Meindert Niemeijer, Joes Staal et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joes Staal Netherlands 8 3.6k 2.7k 2.5k 375 262 12 4.2k
Gwenolé Quellec France 30 2.7k 0.8× 1.6k 0.6× 2.0k 0.8× 646 1.7× 283 1.1× 88 3.8k
Jayanthi Sivaswamy India 26 2.0k 0.6× 1.6k 0.6× 1.6k 0.6× 235 0.6× 216 0.8× 99 2.8k
Yanwu Xu China 30 2.2k 0.6× 1.7k 0.6× 1.6k 0.6× 632 1.7× 365 1.4× 133 3.6k
Bunyarit Uyyanonvara Thailand 21 2.6k 0.7× 1.8k 0.7× 2.0k 0.8× 225 0.6× 77 0.3× 77 3.0k
Mathieu Lamard France 25 1.9k 0.5× 1.2k 0.4× 1.3k 0.5× 544 1.5× 119 0.5× 65 2.7k
Guy Cazuguel France 21 2.0k 0.5× 1.5k 0.5× 1.4k 0.6× 497 1.3× 91 0.3× 54 2.8k
Sulatha V. Bhandary India 27 2.0k 0.5× 1.1k 0.4× 1.6k 0.6× 197 0.5× 165 0.6× 71 2.5k
Meindert Niemeijer United States 32 7.6k 2.1× 3.9k 1.4× 5.7k 2.3× 631 1.7× 751 2.9× 66 8.3k
Hossein Rabbani Iran 33 2.3k 0.6× 1.7k 0.6× 1.4k 0.6× 381 1.0× 1.2k 4.7× 238 3.9k
Weifang Zhu China 23 1.5k 0.4× 903 0.3× 805 0.3× 420 1.1× 688 2.6× 124 2.3k

Countries citing papers authored by Joes Staal

Since Specialization
Citations

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

Fields of papers citing papers by Joes Staal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joes Staal

This figure shows the co-authorship network connecting the top 25 collaborators of Joes Staal. A scholar is included among the top collaborators of Joes Staal 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 Joes Staal. Joes Staal 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.
Velde, Robert van der, Jane Haslam, Joes Staal, et al.. (2015). Performance of statistical models of shape and appearance for semiautomatic segmentations of spinal vertebrae T4–L4 on digitized vertebral fracture assessment images. The Spine Journal. 15(6). 1248–1254. 18 indexed citations
2.
Staal, Joes, Bram van Ginneken, & Max A. Viergever. (2006). Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data. Medical Image Analysis. 11(1). 35–46. 42 indexed citations
3.
Staal, Joes, Stiliyan Kalitzin, & Max A. Viergever. (2005). A trained spin-glass model for grouping of image primitives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(7). 1172–1182. 7 indexed citations
4.
Niemeijer, Meindert, Bram van Ginneken, Joes Staal, Maria S.A. Suttorp-Schulten, & Michael D. Abràmoff. (2005). Automatic detection of red lesions in digital color fundus photographs. IEEE Transactions on Medical Imaging. 24(5). 584–592. 391 indexed citations
5.
Niemeijer, Meindert, Bram van Ginneken, Joes Staal, Maria S.A. Suttorp-Schulten, & Michael D. Abràmoff. (2005). Automatic Detection of Red Lesions in Digital Color. 5 indexed citations
6.
Niemeijer, Meindert, Joes Staal, Bram van Ginneken, Marco Loog, & Michael D. Abràmoff. (2004). Comparative study of retinal vessel segmentation methods on a new publicly available database. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 648–648. 585 indexed citations breakdown →
7.
Staal, Joes, Michael D. Abràmoff, Meindert Niemeijer, Max A. Viergever, & Bram van Ginneken. (2004). Ridge-Based Vessel Segmentation in Color Images of the Retina. IEEE Transactions on Medical Imaging. 23(4). 501–509. 2787 indexed citations breakdown →
8.
Staal, Joes, Stiliyan Kalitzin, Michael D. Abràmoff, et al.. (2003). Classifying convex sets for vessel detection in retinal images. 269–272. 5 indexed citations
9.
Ginneken, Bram van, Alejandro F. Frangi, Joes Staal, Bart M. ter Haar Romeny, & Max A. Viergever. (2002). A non-linear gray-level appearance model improves active shape model segmentation. 205–212. 20 indexed citations
10.
Ginneken, Bram van, Alejandro F. Frangi, Joes Staal, Bart M. ter Haar Romeny, & Max A. Viergever. (2002). Active shape model segmentation with optimal features. IEEE Transactions on Medical Imaging. 21(8). 924–933. 364 indexed citations
11.
Kalitzin, Stiliyan, et al.. (2002). Image segmentation and object recognition by Bayesian grouping. 1898. 580–583. 3 indexed citations
12.
Kalitzin, Stiliyan, Joes Staal, Bart M. ter Haar Romeny, & Max A. Viergever. (2001). A computational method for segmenting topological point-sets and application to image analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 23(5). 447–459. 22 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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