Boubakeur Belaroussi

1.1k total citations
19 papers, 806 citations indexed

About

Boubakeur Belaroussi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Boubakeur Belaroussi has authored 19 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cognitive Neuroscience. Recurrent topics in Boubakeur Belaroussi's work include Medical Image Segmentation Techniques (9 papers), Advanced MRI Techniques and Applications (5 papers) and Medical Imaging Techniques and Applications (4 papers). Boubakeur Belaroussi is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Advanced MRI Techniques and Applications (5 papers) and Medical Imaging Techniques and Applications (4 papers). Boubakeur Belaroussi collaborates with scholars based in France, United States and Austria. Boubakeur Belaroussi's co-authors include C. Odet, Michael O’Sullivan, Julien Milles, Yuemin Zhu, Claudia Metzler‐Baddeley, Hugues Benoit-Cattin, Derek K. Jones, John P. Aggleton, Hervé Saint‐Jalmes and Guylaine Collewet and has published in prestigious journals such as Journal of Neuroscience, Brain and American Journal of Neuroradiology.

In The Last Decade

Boubakeur Belaroussi

17 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boubakeur Belaroussi France 10 426 144 143 133 97 19 806
Hans Olofsen Netherlands 13 287 0.7× 166 1.2× 123 0.9× 102 0.8× 117 1.2× 16 723
Zhizheng Zhuo China 18 392 0.9× 186 1.3× 43 0.3× 124 0.9× 84 0.9× 73 842
Benoît Scherrer United States 23 704 1.7× 210 1.5× 188 1.3× 43 0.3× 83 0.9× 73 1.5k
Shafik N. Wassef United States 10 157 0.4× 67 0.5× 137 1.0× 98 0.7× 71 0.7× 15 569
Lasse Riis Østergaard Denmark 17 488 1.1× 151 1.0× 388 2.7× 68 0.5× 123 1.3× 57 1.2k
Jakob Wasserthal Switzerland 10 867 2.0× 157 1.1× 118 0.8× 75 0.6× 63 0.6× 23 1.2k
Lisa Jonasson Switzerland 10 835 2.0× 197 1.4× 97 0.7× 92 0.7× 24 0.2× 16 1.1k
Mark M. Bahn United States 15 552 1.3× 112 0.8× 39 0.3× 137 1.0× 84 0.9× 23 1000
Joon Yul Choi South Korea 19 736 1.7× 78 0.5× 190 1.3× 59 0.4× 40 0.4× 68 1.2k
Bérengère Aubert-Broche Canada 15 385 0.9× 149 1.0× 179 1.3× 189 1.4× 100 1.0× 23 1.1k

Countries citing papers authored by Boubakeur Belaroussi

Since Specialization
Citations

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

Fields of papers citing papers by Boubakeur Belaroussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boubakeur Belaroussi

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

All Works

19 of 19 papers shown
1.
Guttmann, Charles R.G., Salem Hannoun, Françoise Durand‐Dubief, et al.. (2015). Multiple sclerosis lesion formation and early evolution revisited: A weekly high-resolution magnetic resonance imaging study. Multiple Sclerosis Journal. 22(6). 761–769. 26 indexed citations
2.
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Yan, Zhennan, Shaoting Zhang, Boubakeur Belaroussi, et al.. (2014). An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh. 3173–3178. 7 indexed citations
4.
Yan, Zhennan, Shaoting Zhang, Boubakeur Belaroussi, et al.. (2014). Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Computerized Medical Imaging and Graphics. 41. 80–92. 20 indexed citations
5.
Schaerer, Joël, Sylvain Gouttard, Boubakeur Belaroussi, et al.. (2014). P3‐206: ACCURACY OF BMAS HIPPOCAMPUS SEGMENTATION USING THE HARMONIZED HIPPOCAMPAL PROTOCOL. Alzheimer s & Dementia. 10(4S_Part_19). 9 indexed citations
6.
Yan, Zhennan, Shaoting Zhang, Yan Zhou, et al.. (2014). Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI. 6. 3280–3285. 5 indexed citations
7.
Schaerer, Joël, Sylvain Gouttard, Boubakeur Belaroussi, et al.. (2014). IC‐P‐100: ACCURACY OF BMAS HIPPOCAMPUS SEGMENTATION USING THE HARMONIZED HIPPOCAMPAL PROTOCOL. Alzheimer s & Dementia. 10(4S_Part_6). 3 indexed citations
8.
Duering, Marco, Benno Gesierich, Éric Jouvent, et al.. (2013). Incident lacunes preferentially localize to the edge of white matter hyperintensities: insights into the pathophysiology of cerebral small vessel disease. Brain. 136(9). 2717–2726. 129 indexed citations
9.
Singh, Baljeet, Joël Schaerer, Boubakeur Belaroussi, et al.. (2013). P1–313: Reproducibility of intracranial and hippocampal volume quantification at 1.5T and 3T MRI: Application to ADNI I. Alzheimer s & Dementia. 9(4S_Part_7). 2 indexed citations
10.
Durand‐Dubief, Françoise, Boubakeur Belaroussi, Jean‐Paul Armspach, et al.. (2012). Reliability of Longitudinal Brain Volume Loss Measurements between 2 Sites in Patients with Multiple Sclerosis: Comparison of 7 Quantification Techniques. American Journal of Neuroradiology. 33(10). 1918–1924. 69 indexed citations
11.
Schaerer, Joël, et al.. (2012). P2‐025: Accurate intracranial cavity volume estimation using multiatlas segmentation. Alzheimer s & Dementia. 8(4S_Part_7). 2 indexed citations
12.
Metzler‐Baddeley, Claudia, Derek K. Jones, Boubakeur Belaroussi, John P. Aggleton, & Michael O’Sullivan. (2011). Frontotemporal Connections in Episodic Memory and Aging: A Diffusion MRI Tractography Study. Journal of Neuroscience. 31(37). 13236–13245. 179 indexed citations
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Belaroussi, Boubakeur, Hugues Benoit-Cattin, & Christophe Odet. (2006). CASTI: Correction of Susceptibility Artifact in MR Images using MRI Simulation. 897–900. 1 indexed citations
16.
Belaroussi, Boubakeur, et al.. (2005). Intensity non-uniformity correction in MRI: Existing methods and their validation. Medical Image Analysis. 10(2). 234–246. 179 indexed citations
17.
Collewet, Guylaine, et al.. (2004). The SIMRI project: a versatile and interactive MRI simulator. Journal of Magnetic Resonance. 173(1). 97–115. 133 indexed citations
18.
Belaroussi, Boubakeur, et al.. (2004). New discrepancy measures for segmentation evaluation. 3. II–411. 14 indexed citations
19.
Odet, C., et al.. (2003). Scalable discrepancy measures for segmentation evaluation. Proceedings - International Conference on Image Processing. 1. I–785. 27 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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