Djamal Boukerroui

2.2k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Djamal Boukerroui is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Djamal Boukerroui has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Radiation. Recurrent topics in Djamal Boukerroui's work include Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (8 papers) and Advanced Radiotherapy Techniques (7 papers). Djamal Boukerroui is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (8 papers) and Advanced Radiotherapy Techniques (7 papers). Djamal Boukerroui collaborates with scholars based in France, United Kingdom and Netherlands. Djamal Boukerroui's co-authors include J. Alison Noble, Michael Brady, Y. Maingourd, Atilla Baskurt, Mark J. Gooding, Olivier Basset, G. Gimenez, O. Basset, Wouter van Elmpt and Johan van Soest and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Djamal Boukerroui

27 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Ultrasound image segmentation: a survey

2006 812 citations J. Alison Noble, Djamal Boukerroui IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Djamal Boukerroui France	13	875	650	407	296	190	30	1.5k
Vikram Chalana United States	11	670 0.8×	581 0.9×	182 0.4×	252 0.9×	144 0.8×	27	1.4k
Guanyu Yang China	24	734 0.8×	952 1.5×	287 0.7×	505 1.7×	129 0.7×	122	1.9k
Jingfan Fan China	19	833 1.0×	605 0.9×	240 0.6×	365 1.2×	59 0.3×	124	1.5k
Wenjia Bai United Kingdom	26	1.1k 1.3×	1.3k 2.0×	372 0.9×	534 1.8×	801 4.2×	91	2.9k
Xiahai Zhuang China	27	1.4k 1.5×	1.3k 2.0×	605 1.5×	587 2.0×	450 2.4×	88	2.5k
Amir A. Amini United States	21	1.3k 1.5×	1.3k 2.0×	347 0.9×	468 1.6×	450 2.4×	128	2.6k
B. Likar Slovenia	12	1.1k 1.3×	781 1.2×	133 0.3×	487 1.6×	46 0.2×	20	1.9k
Gareth Funka-Lea United States	14	1.7k 1.9×	790 1.2×	260 0.6×	324 1.1×	155 0.8×	32	2.4k
Jeny Rajan India	26	884 1.0×	921 1.4×	257 0.6×	260 0.9×	126 0.7×	84	1.9k
Tobias Heimann Germany	19	988 1.1×	548 0.8×	276 0.7×	557 1.9×	145 0.8×	44	2.0k

Countries citing papers authored by Djamal Boukerroui

Since Specialization

Citations

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

Fields of papers citing papers by Djamal Boukerroui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djamal Boukerroui

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

All Works

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20 of 20 papers shown

Boukerroui, Djamal, et al.. (2023). An approach to generate synthetic 4DCT datasets to benchmark Mid-Position implementations. Physica Medica. 114. 103144–103144. 1 indexed citations

Boukerroui, Djamal, Eliana Vásquez Osorio, Ellen Brunenberg, & Mark J. Gooding. (2023). Analytic calculations and synthetic shapes for validation of quantitative contour comparison software. Physics and Imaging in Radiation Oncology. 26. 100436–100436. 2 indexed citations

Gooding, Mark J., Djamal Boukerroui, Eliana Vásquez Osorio, René Monshouwer, & Ellen Brunenberg. (2022). Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy. Physics and Imaging in Radiation Oncology. 24. 152–158. 11 indexed citations

Brunenberg, Ellen, Mark J. Gooding, Djamal Boukerroui, et al.. (2022). PD-0064 Multicenter comparison of measures for quantitative evaluation of automatic contouring. Radiotherapy and Oncology. 170. S37–S38. 2 indexed citations

Brouwer, Charlotte L., Djamal Boukerroui, Roel J.H.M. Steenbakkers, et al.. (2020). Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy. Physics and Imaging in Radiation Oncology. 16. 54–60. 32 indexed citations

Boukerroui, Djamal, Devis Peressutti, Johan van Soest, et al.. (2019). An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Transactions on Medical Imaging. 38(11). 2654–2664. 25 indexed citations

Boukerroui, Djamal, Devis Peressutti, Johan van Soest, et al.. (2018). Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Transactions on Medical Imaging. 38(1). 99–106. 22 indexed citations

Boukerroui, Djamal, et al.. (2018). Local maximum likelihood segmentation of echocardiographic images with Rayleigh distribution. Signal Image and Video Processing. 12(6). 1087–1096. 7 indexed citations

Talwar, Arunabh, L. Pickup, Djamal Boukerroui, et al.. (2018). Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a “coffee-break”. European Journal of Radiology. 101. 82–86. 9 indexed citations

10.

Boukerroui, Djamal, et al.. (2014). A new generalised α scale spaces quadrature filters. Pattern Recognition. 47(10). 3209–3224. 11 indexed citations

11.

Boukerroui, Djamal, et al.. (2010). Phase-Based Level Set Segmentation of Ultrasound Images. IEEE Transactions on Information Technology in Biomedicine. 15(1). 138–147. 109 indexed citations

12.

Noble, J. Alison & Djamal Boukerroui. (2006). Ultrasound image segmentation: a survey. IEEE Transactions on Medical Imaging. 25(8). 987–1010. 812 indexed citations breakdown →

13.

Boukerroui, Djamal, et al.. (2005). Fully Automatic Kidneys Detection in 2D CT Images: A Statistical Approach. Lecture notes in computer science. 8(Pt 1). 262–269. 5 indexed citations

14.

Boukerroui, Djamal, et al.. (2005). A statistical approach for automatic kidneys detection. III–740.

15.

Boukerroui, Djamal, J. Alison Noble, & Michael Brady. (2004). On the Choice of Band-Pass Quadrature Filters. Journal of Mathematical Imaging and Vision. 21(1-2). 53–80. 95 indexed citations

16.

Boukerroui, Djamal, J. Alison Noble, & Michael Brady. (2003). Velocity Estimation in Ultrasound Images: A Block Matching Approach. Lecture notes in computer science. 18. 586–598. 62 indexed citations

17.

Boukerroui, Djamal, et al.. (2003). Segmentation of ultrasound images––multiresolution 2D and 3D algorithm based on global and local statistics. Pattern Recognition Letters. 24(4-5). 779–790. 103 indexed citations

18.

Boukerroui, Djamal, et al.. (2001). A multiparametric and multiresolution segmentation algorithm of 3D ultrasonic data. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 48(1). 64–77. 37 indexed citations

19.

Boukerroui, Djamal, J. Alison Noble, Marc C. Robini, & Michael Brady. (2001). Enhancement of contrast regions in suboptimal ultrasound images with application to echocardiography. Ultrasound in Medicine & Biology. 27(12). 1583–1594. 24 indexed citations

20.

Boukerroui, Djamal, et al.. (1998). Multiresolution texture based adaptive clustering algorithm for breast lesion segmentation. European Journal of Ultrasound. 8(2). 135–144. 57 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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