Sam Leroux

556 total citations
38 papers, 300 citations indexed

About

Sam Leroux is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sam Leroux has authored 38 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Sam Leroux's work include Advanced Neural Network Applications (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Neural Networks and Applications (6 papers). Sam Leroux is often cited by papers focused on Advanced Neural Network Applications (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Neural Networks and Applications (6 papers). Sam Leroux collaborates with scholars based in Belgium, United Kingdom and Spain. Sam Leroux's co-authors include Pieter Simoens, Bart Dhoedt, Tim Verbelen, Steven Bohez, Bert Vankeirsbilck, Bo Li, Bo Li, Teresa Serrano‐Gotarredona, Amirreza Yousefzadeh and B. Linares-Barranco and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Neurocomputing.

In The Last Decade

Sam Leroux

30 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Leroux Belgium 11 149 122 108 71 28 38 300
Shalini Stalin India 9 88 0.6× 73 0.6× 112 1.0× 53 0.7× 46 1.6× 16 340
Maurizio Capra Italy 5 108 0.7× 87 0.7× 116 1.1× 172 2.4× 30 1.1× 7 365
Zhenyu Yan Hong Kong 11 141 0.9× 74 0.6× 114 1.1× 66 0.9× 26 0.9× 41 363
Xiaoguang Li China 9 183 1.2× 114 0.9× 82 0.8× 50 0.7× 28 1.0× 36 362
Shiqi Jiang China 10 83 0.6× 80 0.7× 130 1.2× 72 1.0× 25 0.9× 23 322
Hesam Omranpour Iran 10 71 0.5× 82 0.7× 72 0.7× 39 0.5× 43 1.5× 30 313
Kerstin Eder United Kingdom 12 123 0.8× 112 0.9× 48 0.4× 123 1.7× 50 1.8× 64 469
Bingyan Liu China 10 233 1.6× 62 0.5× 69 0.6× 44 0.6× 53 1.9× 29 377
Kamran Raza Pakistan 9 88 0.6× 56 0.5× 43 0.4× 94 1.3× 31 1.1× 47 343
Yanwei Zheng China 10 76 0.5× 65 0.5× 140 1.3× 84 1.2× 46 1.6× 37 352

Countries citing papers authored by Sam Leroux

Since Specialization
Citations

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

Fields of papers citing papers by Sam Leroux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Leroux

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Leroux. A scholar is included among the top collaborators of Sam Leroux 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 Sam Leroux. Sam Leroux 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.
Temmerman, Stijn, et al.. (2025). Development and In-Field Validation of an Autonomous Soil Mechanical Resistance Sensor. Sensors. 25(6). 1919–1919. 1 indexed citations
2.
Leroux, Sam, et al.. (2025). Maximum causal entropy inverse constrained reinforcement learning. Machine Learning. 114(4). 1 indexed citations
3.
Leroux, Sam, et al.. (2025). Enabling Privacy-Aware AI-Based Ergonomic Analysis. Procedia CIRP. 136. 371–376.
4.
Antonissen, Gunther, et al.. (2025). Multi-camera detection and tracking for individual broiler monitoring. Computers and Electronics in Agriculture. 237. 110435–110435.
5.
Peltonen, Ella, Suzan Bayhan, David Bermbach, et al.. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing. 29(2). 8–18.
6.
Leroux, Sam & Pieter Simoens. (2024). Hybrid Edge–Cloud Models for Bearing Failure Detection in a Fleet of Machines. Electronics. 13(24). 5034–5034. 1 indexed citations
7.
Leroux, Sam, et al.. (2024). Mitigating Bias Using Model-Agnostic Data Attribution. Ghent University Academic Bibliography (Ghent University). 235–243.
8.
Leroux, Sam, et al.. (2024). Privacy-preserving visual analysis: training video obfuscation models without sensitive labels. Applied Intelligence. 54(8). 6041–6052. 2 indexed citations
9.
Leroux, Sam, et al.. (2024). Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications. Ghent University Academic Bibliography (Ghent University). 2121–2130. 2 indexed citations
10.
Leroux, Sam, et al.. (2024). Label Efficient Lifelong Multi-View Broiler Detection. Ghent University Academic Bibliography (Ghent University). 5393–5402.
11.
Leroux, Sam, et al.. (2023). Inverse reinforcement learning through logic constraint inference. Machine Learning. 112(7). 2593–2618. 1 indexed citations
12.
Leroux, Sam, Bo Li, & Pieter Simoens. (2022). Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3027–3035. 21 indexed citations
13.
Leroux, Sam, et al.. (2022). TinyMLOps: Operational Challenges for Widespread Edge AI Adoption. Ghent University Academic Bibliography (Ghent University). 1003–1010. 10 indexed citations
14.
Leroux, Sam & Pieter Simoens. (2022). Sparse random neural networks for online anomaly detection on sensor nodes. Future Generation Computer Systems. 144. 327–343. 17 indexed citations
15.
Li, Bo, Sam Leroux, & Pieter Simoens. (2021). Decoupled appearance and motion learning for efficient anomaly detection in surveillance video. Computer Vision and Image Understanding. 210. 103249–103249. 26 indexed citations
16.
Leroux, Sam, Steven Bohez, Bert Vankeirsbilck, et al.. (2019). Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Generation Computer Systems. 97. 355–360. 10 indexed citations
17.
Bohez, Steven, Tim Verbelen, Sam Leroux, et al.. (2018). Robot navigation using a variational dynamics model for state estimation and robust control. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
18.
Leroux, Sam, Pavlo Molchanov, Pieter Simoens, et al.. (2018). IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification. Ghent University Academic Bibliography (Ghent University). 1–4.
19.
Leroux, Sam, Steven Bohez, Tim Verbelen, et al.. (2017). The cascading neural network: building the Internet of Smart Things. Knowledge and Information Systems. 52(3). 791–814. 37 indexed citations
20.
Pessemier, Toon De, Sam Leroux, Kris Vanhecke, & Luc Martens. (2015). Combining collaborative filtering and search engine into hybrid news recommendations. Ghent University Academic Bibliography (Ghent University). 13–18. 3 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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