H.J.A.M. Heijmans

5.5k total citations · 1 hit paper
103 papers, 3.5k citations indexed

About

H.J.A.M. Heijmans is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Media Technology. According to data from OpenAlex, H.J.A.M. Heijmans has authored 103 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 22 papers in Computational Theory and Mathematics and 17 papers in Media Technology. Recurrent topics in H.J.A.M. Heijmans's work include Image and Signal Denoising Methods (28 papers), Medical Image Segmentation Techniques (27 papers) and Digital Image Processing Techniques (24 papers). H.J.A.M. Heijmans is often cited by papers focused on Image and Signal Denoising Methods (28 papers), Medical Image Segmentation Techniques (27 papers) and Digital Image Processing Techniques (24 papers). H.J.A.M. Heijmans collaborates with scholars based in Netherlands, United States and France. H.J.A.M. Heijmans's co-authors include Gemma Piella, John Goutsias, Christian Ronse, Lute Kamstra, Jos B. T. M. Roerdink, Tingquan Deng, Alexander V. Tuzikov, B. de Pagter, Sigurd Angenent and Odo Diekmann and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

H.J.A.M. Heijmans

98 papers receiving 3.1k citations

Hit Papers

A new quality metric for image fusion 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.J.A.M. Heijmans Netherlands 27 2.3k 1.0k 403 222 216 103 3.5k
Jianhong Shen United States 21 3.5k 1.5× 623 0.6× 268 0.7× 83 0.4× 143 0.7× 68 4.5k
Chunpeng Wang China 35 2.6k 1.2× 400 0.4× 564 1.4× 35 0.2× 362 1.7× 175 4.0k
Yuichi Ohta Japan 24 2.1k 0.9× 333 0.3× 108 0.3× 422 1.9× 153 0.7× 180 3.3k
H.J. Trussell United States 29 1.5k 0.7× 465 0.5× 117 0.3× 152 0.7× 274 1.3× 148 3.1k
Massimo Fornasier Germany 27 872 0.4× 115 0.1× 185 0.5× 117 0.5× 191 0.9× 74 3.2k
Fang Li China 23 1.1k 0.5× 664 0.7× 75 0.2× 50 0.2× 124 0.6× 159 2.0k
Peixian Zhuang China 37 2.9k 1.3× 1.3k 1.3× 61 0.2× 85 0.4× 106 0.5× 91 6.3k
Michael Werman Israel 28 3.5k 1.5× 775 0.8× 168 0.4× 412 1.9× 478 2.2× 117 4.6k
Amir Averbuch Israel 31 1.6k 0.7× 399 0.4× 116 0.3× 591 2.7× 1.1k 5.1× 183 3.7k
Jian Lü China 24 1.2k 0.5× 450 0.4× 240 0.6× 73 0.3× 559 2.6× 132 2.3k

Countries citing papers authored by H.J.A.M. Heijmans

Since Specialization
Citations

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

Fields of papers citing papers by H.J.A.M. Heijmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J.A.M. Heijmans. 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 H.J.A.M. Heijmans. The network helps show where H.J.A.M. Heijmans may publish in the future.

Co-authorship network of co-authors of H.J.A.M. Heijmans

This figure shows the co-authorship network connecting the top 25 collaborators of H.J.A.M. Heijmans. A scholar is included among the top collaborators of H.J.A.M. Heijmans 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 H.J.A.M. Heijmans. H.J.A.M. Heijmans 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
1.
Heijmans, H.J.A.M., Béatrice Pesquet‐Popescu, & Gemma Piella. (2005). Building nonredundant adaptive wavelets by update lifting. Applied and Computational Harmonic Analysis. 18(3). 252–281. 28 indexed citations
2.
Kamstra, Lute & H.J.A.M. Heijmans. (2004). Wavelet techniques for reversible data embedding into images. Data Archiving and Networked Services (DANS). 1–32. 5 indexed citations
3.
Piella, Gemma, et al.. (2004). A matlab toolbox for image fusion (MATIFUS).. 1–19. 6 indexed citations
4.
Nachtegael, Mike, H.J.A.M. Heijmans, Dietrich Van der Weken, & Etienne Kerre. (2003). Fuzzy Adjunctions in Mathematical Morphology. Ghent University Academic Bibliography (Ghent University). 4 indexed citations
5.
Heijmans, H.J.A.M. & Lute Kamstra. (2003). Reversible Data Embedding Based on the Haar Wavelet Decomposition. 5–14.
6.
Heijmans, H.J.A.M., Béatrice Pesquet‐Popescu, & Gemma Piella. (2002). Building nonredundant adaptive wavelets by update lifting. Data Archiving and Networked Services (DANS). 1–40. 11 indexed citations
7.
Heijmans, H.J.A.M. & R. van den Boomgaard. (2000). Algebraic framework for linear and morphological scale-spaces. Data Archiving and Networked Services (DANS). 1–34. 2 indexed citations
8.
Deng, Tingquan & H.J.A.M. Heijmans. (2000). Grey-scale morphology based on fuzzy logic. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–22. 8 indexed citations
9.
Heijmans, H.J.A.M. & John Goutsias. (1999). Multiresolution signal decomposition schemes. Part 2: Morphological wavelets. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–60. 29 indexed citations
10.
Goutsias, John & H.J.A.M. Heijmans. (1998). Multiresolution signal decomposition schemes. Data Archiving and Networked Services (DANS). 1–50. 10 indexed citations
11.
Heijmans, H.J.A.M.. (1997). Connected morphological operators for binary images. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–40.
12.
Heijmans, H.J.A.M.. (1997). Composing morphological filters. IEEE Transactions on Image Processing. 6(5). 713–723. 43 indexed citations
13.
Heijmans, H.J.A.M. & Alexander V. Tuzikov. (1996). Similarity and symmetry measures for convex sets based on Minkowski addition. Data Archiving and Networked Services (DANS). 1–31. 2 indexed citations
14.
Heijmans, H.J.A.M.. (1995). Composing morphological filters. Data Archiving and Networked Services (DANS). 1–19. 1 indexed citations
15.
Heijmans, H.J.A.M.. (1992). Mathematical morphology: a geometrical approach in image processing. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 9 indexed citations
16.
Heijmans, H.J.A.M.. (1989). Iterations of morphological transformations. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2(1). 19–36. 7 indexed citations
17.
Heijmans, H.J.A.M., et al.. (1987). One-parameter semigroups. Data Archiving and Networked Services (DANS). 5. 1–312. 168 indexed citations
18.
Gyllenberg, Mats & H.J.A.M. Heijmans. (1987). An Abstract Delay-Differential Equation Modelling Size Dependent Cell Growth and Division. SIAM Journal on Mathematical Analysis. 18(1). 74–88. 1 indexed citations
19.
Diekmann, Odo, H.J.A.M. Heijmans, & Horst R. Thieme. (1986). On the stability of the cell-size distribution II: Time-periodic developmental rates. Computers & Mathematics with Applications. 12(4-5). 491–512. 13 indexed citations
20.
Heijmans, H.J.A.M.. (1985). An eigenvalue problem related to cell growth. Journal of Mathematical Analysis and Applications. 111(1). 253–280. 26 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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