B. Abeloos

25.6k total citations
11 papers, 144 citations indexed

About

B. Abeloos is a scholar working on Mechanics of Materials, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, B. Abeloos has authored 11 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanics of Materials, 3 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in B. Abeloos's work include Thermography and Photoacoustic Techniques (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Laser Material Processing Techniques (3 papers). B. Abeloos is often cited by papers focused on Thermography and Photoacoustic Techniques (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Laser Material Processing Techniques (3 papers). B. Abeloos collaborates with scholars based in France, Netherlands and Canada. B. Abeloos's co-authors include Maryam Ziaeefard, Freddy Lécué, Jean-Michel Roche, Guy Le Besnerais, O. Abdinov, K. Reeves, Johan Mazoyer, M. Aaboud, J. M. Izen and S. H. Abidi and has published in prestigious journals such as Optics Express, Journal of Electronic Imaging and Quantitative InfraRed Thermography Journal.

In The Last Decade

B. Abeloos

8 papers receiving 142 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Abeloos France	5	93	76	34	7	7	11	144
Z. Hampel-Arias United States	4	39 0.4×	29 0.4×	11 0.3×	4 0.6×	1 0.1×	10	63
K. Frankiewicz Poland	4	16 0.2×	30 0.4×	17 0.5×	4 0.6×	3 0.4×	4	94
K. Pedro United States	7	34 0.4×	49 0.6×	83 2.4×	19 2.7×		17	146
R. Kansal United States	4	16 0.2×	44 0.6×	54 1.6×	4 0.6×		9	78
W. Korcari Germany	5	19 0.2×	33 0.4×	91 2.7×	4 0.6×		7	119
D. Torbunov United States	3	67 0.7×	16 0.2×	8 0.2×	5 0.7×		4	109
Vincent Stimper Germany	3	31 0.3×	16 0.2×	5 0.1×	4 0.6×		5	86
Steven Farrell United States	6	15 0.2×	27 0.4×	39 1.1×	1 0.1×	4 0.6×	14	93
S. Jindariani United States	5	19 0.2×	23 0.3×	23 0.7×	2 0.3×	1 0.1×	12	88
Breno Orzari Switzerland	3	13 0.1×	30 0.4×	42 1.2×	2 0.3×		4	53

Countries citing papers authored by B. Abeloos

Since Specialization

Citations

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

Fields of papers citing papers by B. Abeloos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Abeloos

This figure shows the co-authorship network connecting the top 25 collaborators of B. Abeloos. A scholar is included among the top collaborators of B. Abeloos 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 B. Abeloos. B. Abeloos 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.

Mazoyer, Johan, et al.. (2024). Image-based wavefront correction using model-free reinforcement learning. Optics Express. 32(18). 31247–31247. 1 indexed citations

2.

Abeloos, B., et al.. (2024). CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion. SPIRE - Sciences Po Institutional REpository. 3037–3046. 7 indexed citations

3.

Mazoyer, Johan, et al.. (2024). A deep reinforcement learning approach to wavefront control for exoplanet imaging. SPIRE - Sciences Po Institutional REpository. 180–180.

4.

Roche, Jean-Michel, et al.. (2024). Database for transfer learning in crack detection and localization on metallic materials using flying spot thermography and deep learning. Journal of Electronic Imaging. 33(3).

5.

Roche, Jean-Michel, et al.. (2023). Laser flying-spot thermography: an open-access dataset for machine learning and deep learning. SPIRE - Sciences Po Institutional REpository. 8. 52–52.

6.

Abeloos, B., et al.. (2023). Automated crack detection on metallic materials with flying-spot thermography using deep learning and progressive training. Quantitative InfraRed Thermography Journal. 22(1). 21–40. 6 indexed citations

7.

Roche, Jean-Michel, et al.. (2022). Toward deep learning fusion of flying spot thermography and visible inspection for surface cracks detection on metallic materials. 2 indexed citations

8.

Ziaeefard, Maryam, et al.. (2020). ConceptBert: Concept-Aware Representation for Visual Question Answering. 489–498. 91 indexed citations

9.

Lécué, Freddy, et al.. (2019). Thales XAI Platform: Adaptable Explanation of Machine Learning Systems - A Knowledge Graphs Perspective.. 315–316. 2 indexed citations

10.

Aaboud, M., G. Aad, B. Abbott, et al.. (2017). Measurement of the cross section for inclusive isolated-photon production in pp collisions at √ s = 13 TeV using the ATLAS detector. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 31 indexed citations

11.

Aaboud, M., B. Abbott, O. Abdinov, et al.. (2017). Search for new phenomena in a lepton plus high jet multiplicity final state with the ATLAS experiment using s=13 TeV proton-proton collision data. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 4 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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