Fabian Lecron

608 total citations
30 papers, 419 citations indexed

About

Fabian Lecron is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fabian Lecron has authored 30 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Fabian Lecron's work include Medical Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (8 papers) and Dental Radiography and Imaging (5 papers). Fabian Lecron is often cited by papers focused on Medical Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (8 papers) and Dental Radiography and Imaging (5 papers). Fabian Lecron collaborates with scholars based in Belgium, Canada and United States. Fabian Lecron's co-authors include Philippe Fortemps, Mohammed Benjelloun, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback, Mandy Rossignol, Hubert Labelle, François Fouss, Jonathan Boisvert and Mohammed El Adoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Fabian Lecron

29 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Lecron Belgium 11 112 110 104 62 61 30 419
Ryan McConville United Kingdom 13 100 0.9× 174 1.6× 106 1.0× 26 0.4× 26 0.4× 47 535
Muhammad Awais Pakistan 12 63 0.6× 104 0.9× 112 1.1× 59 1.0× 45 0.7× 35 428
Mwaffaq Otoom Jordan 10 58 0.5× 40 0.4× 80 0.8× 78 1.3× 25 0.4× 26 394
Ahmad Waleed Salehi India 10 38 0.3× 97 0.9× 189 1.8× 44 0.7× 17 0.3× 14 535
Mubashir Ahmad Pakistan 13 118 1.1× 218 2.0× 329 3.2× 18 0.3× 8 0.1× 29 715
Haytham Al-Feel Egypt 8 61 0.5× 127 1.2× 135 1.3× 83 1.3× 12 0.2× 23 409
Maria Skublewska‐Paszkowska Poland 10 65 0.6× 86 0.8× 51 0.5× 33 0.5× 13 0.2× 92 451
Hong Lin United States 11 51 0.5× 112 1.0× 116 1.1× 74 1.2× 47 0.8× 81 444
Ghazal Bargshady Australia 12 36 0.3× 84 0.8× 93 0.9× 16 0.3× 51 0.8× 20 407
Betül Ay Türkiye 11 31 0.3× 73 0.7× 144 1.4× 34 0.5× 180 3.0× 22 524

Countries citing papers authored by Fabian Lecron

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Lecron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Lecron

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Lecron. A scholar is included among the top collaborators of Fabian Lecron 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 Fabian Lecron. Fabian Lecron 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.
Gillis, Nicolas, et al.. (2023). Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. IEEE Transactions on Signal Processing. 71. 2434–2447. 2 indexed citations
2.
Lecron, Fabian, et al.. (2022). Predictions through Lean startup? Harnessing AI-based predictions under uncertainty. International Journal of Entrepreneurial Behaviour & Research. 29(4). 886–912. 21 indexed citations
3.
Lecron, Fabian, et al.. (2022). Resource and activity clustering based on a hierarchical cell formation algorithm. Applied Intelligence. 53(1). 532–541. 2 indexed citations
4.
Gillis, Nicolas, et al.. (2022). Bounded Simplex-Structured Matrix Factorization. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9062–9066. 3 indexed citations
5.
Lecron, Fabian, et al.. (2020). A one-class classification decision tree based on kernel density estimation. Applied Soft Computing. 91. 106250–106250. 27 indexed citations
6.
Rossignol, Mandy, et al.. (2019). Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder. PLoS ONE. 14(4). e0215720–e0215720. 36 indexed citations
7.
Lecron, Fabian, et al.. (2018). Specifics of medical data mining for diagnosis aid: A survey. Expert Systems with Applications. 118. 300–314. 48 indexed citations
8.
Mahmoudi, Sidi Ahmed, et al.. (2018). Real Time Web-based Toolbox for Computer Vision. SHILAP Revista de lepidopterología. 10(2). 2–2. 5 indexed citations
9.
Lecron, Fabian & François Fouss. (2018). An optimization model for collaborative recommendation using a covariance-based regularizer. Data Mining and Knowledge Discovery. 32(3). 651–674.
10.
Lecron, Fabian, Zacharie De Grève, François Vallée, et al.. (2017). Using matrix factorisation for the prediction of electrical quantities. CIRED - Open Access Proceedings Journal. 2017(1). 2568–2571. 2 indexed citations
11.
Mahmoudi, Sidi Ahmed, et al.. (2017). Cloud-based platform for computer vision applications. 195–200. 9 indexed citations
12.
Lecron, Fabian, et al.. (2017). A multi-level classification framework for multi-site medical data: Application to the ADHD-200 collection. Expert Systems with Applications. 91. 36–45. 41 indexed citations
13.
Lecron, Fabian, et al.. (2017). Weighting strategies for a recommender system using item clustering based on genres. Expert Systems with Applications. 77. 105–113. 50 indexed citations
14.
Mahmoudi, Sidi Ahmed, Fabian Lecron, Pierre Manneback, Mohammed Benjelloun, & Saïd Mahmoudi. (2013). Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images. ORBi UMONS. 1 indexed citations
15.
Lecron, Fabian, Mohammed Benjelloun, & Saïd Mahmoudi. (2012). Cervical spine mobility analysis on radiographs: A fully automatic approach. Computerized Medical Imaging and Graphics. 36(8). 634–642. 7 indexed citations
16.
Lecron, Fabian, Jonathan Boisvert, Saïd Mahmoudi, Hubert Labelle, & Mohammed Benjelloun. (2012). Fast 3D Spine Reconstruction of Postoperative Patients Using a Multilevel Statistical Model. Lecture notes in computer science. 15(Pt 2). 446–453. 14 indexed citations
17.
Lecron, Fabian, Jonathan Boisvert, Mohammed Benjelloun, Hubert Labelle, & Saïd Mahmoudi. (2012). Multilevel statistical shape models: A new framework for modeling hierarchical structures. 1284–1287. 10 indexed citations
18.
Lecron, Fabian, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, & Pierre Manneback. (2011). Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images. International Journal of Biomedical Imaging. 2011. 1–12. 26 indexed citations
19.
Benjelloun, Mohammed, Saïd Mahmoudi, & Fabian Lecron. (2011). A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach. International Journal of Biomedical Imaging. 2011. 1–14. 39 indexed citations
20.
Lecron, Fabian, Pierre Manneback, & Daniel Tuyttens. (2010). Exploiting grid computation for solving the Vehicle Routing Problem. 2723. 1–6. 2 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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