Manon Beuque

857 total citations · 1 hit paper
11 papers, 469 citations indexed

About

Manon Beuque is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manon Beuque has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manon Beuque's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (6 papers) and Medical Imaging Techniques and Applications (3 papers). Manon Beuque is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (6 papers) and Medical Imaging Techniques and Applications (3 papers). Manon Beuque collaborates with scholars based in Netherlands, Belgium and Switzerland. Manon Beuque's co-authors include Philippe Lambin, Henry C. Woodruff, Sergey Primakov, Abdalla Ibrahim, Turkey Refaee, Renée W. Y. Granzier, Janita E. van Timmeren, Iva Halilaj, Simon Keek and Guangyao Wu and has published in prestigious journals such as Radiology, Radiotherapy and Oncology and Methods.

In The Last Decade

Manon Beuque

11 papers receiving 463 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.

Radiomics: from qualitative to quantitative imaging

2020 224 citations William Rogers, Turkey Refaee et al. British Journal of Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manon Beuque Netherlands	5	396	136	128	102	74	11	469
Simon Keek Netherlands	8	390 1.0×	138 1.0×	115 0.9×	102 1.0×	70 0.9×	12	497
Mi Huang United States	10	403 1.0×	195 1.4×	119 0.9×	61 0.6×	84 1.1×	10	505
M.V. Villas Spain	5	436 1.1×	179 1.3×	197 1.5×	68 0.7×	82 1.1×	6	503
Mostafa Nazari Iran	11	498 1.3×	227 1.7×	188 1.5×	103 1.0×	52 0.7×	18	562
Ronrick Da‐ano France	7	460 1.2×	194 1.4×	163 1.3×	76 0.7×	73 1.0×	9	490
Chuanmiao Xie China	5	521 1.3×	173 1.3×	294 2.3×	73 0.7×	112 1.5×	11	584
Domiziana Santucci Italy	14	254 0.6×	106 0.8×	71 0.6×	90 0.9×	60 0.8×	56	458
M Jermoumi United States	4	586 1.5×	241 1.8×	228 1.8×	115 1.1×	99 1.3×	9	668
R. Berenguer Spain	10	470 1.2×	197 1.4×	208 1.6×	68 0.7×	88 1.2×	20	632
Rachel Ger United States	15	558 1.4×	214 1.6×	273 2.1×	81 0.8×	94 1.3×	44	641

Countries citing papers authored by Manon Beuque

Since Specialization

Citations

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

Fields of papers citing papers by Manon Beuque

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manon Beuque

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

All Works

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11 of 11 papers shown

1.

Primakov, Sergey, et al.. (2023). Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis. Software Impacts. 16. 100508–100508. 3 indexed citations

2.

Beuque, Manon, Derek Magee, Avishek Chatterjee, et al.. (2023). Automated detection and delineation of lymph nodes in haematoxylin & eosin stained digitised slides. Journal of Pathology Informatics. 14. 100192–100192. 2 indexed citations

3.

Beuque, Manon, Marc B. I. Lobbes, Yvonka van Wijk, et al.. (2023). Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms. Radiology. 307(5). e221843–e221843. 42 indexed citations

4.

Beuque, Manon, Henry C. Woodruff, Nicholas Marshall, et al.. (2022). Synthetic data of simulated microcalcification clusters to train and explain deep learning detection models in contrast-enhanced mammography. Research Publications (Maastricht University). 2–2. 1 indexed citations

5.

Keek, Simon, Manon Beuque, Sergey Primakov, et al.. (2022). Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics. Frontiers in Oncology. 12. 920393–920393. 8 indexed citations

6.

Beuque, Manon, Derek Magee, Avishek Chatterjee, et al.. (2022). Automated Detection and Delineation of Lymph Nodes in Haematoxylin & Eosin Stained Digitized Slides. SSRN Electronic Journal. 1 indexed citations

7.

Beuque, Manon, et al.. (2022). The creation of a large set of realistic synthetic microcalcification clusters for simulation in (contrast-enhanced) mammography images. Research Publications (Maastricht University). 51–51. 4 indexed citations

8.

Beuque, Manon, Marta Martin‐Lorenzo, Benjamin Balluff, et al.. (2021). Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging. Computers in Biology and Medicine. 138. 104918–104918. 17 indexed citations

9.

Primakov, Sergey, Janita E. van Timmeren, Guorong Wu, et al.. (2021). OC-0557 AI-based NSCLC detection and segmentation: faster and more prognostic than manual segmentation. Radiotherapy and Oncology. 161. S441–S443. 1 indexed citations

10.

Ibrahim, Abdalla, Sergey Primakov, Manon Beuque, et al.. (2020). Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework. Methods. 188. 20–29. 166 indexed citations

11.

Rogers, William, Turkey Refaee, R. Lieverse, et al.. (2020). Radiomics: from qualitative to quantitative imaging. British Journal of Radiology. 93(1108). 20190948–20190948. 224 indexed citations breakdown →

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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