Sam Leroux
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
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- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 10
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- Reinforcement Learning in Robotics 5
- Anomaly Detection Techniques and Applications 4
- Privacy-Preserving Technologies in Data 3
- Co-authors
- Pieter Simoens (39 shared papers)Bart Dhoedt (14 shared papers)Tim Verbelen (12 shared papers)Bert Vankeirsbilck (9 shared papers)Steven Bohez (9 shared papers)Teresa Serrano‐Gotarredona (2 shared papers)Bernabe Linares-Barranco (2 shared papers)Amirreza Yousefzadeh (2 shared papers)
- Journals
- Sensors (3 papers)Machine Learning (2 papers)Future Generation Computer Systems (2 papers)Neural Computing and Applications (2 papers)Computers & Electrical Engineering (1 paper)
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
Sam Leroux
36 papers receiving 357 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 88
- Computer Networks and Communications 83
- Industrial and Manufacturing Engineering 15
- Hardware and Architecture 10
Countries citing papers authored by Sam Leroux
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
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-authors
The 25 scholars most cited alongside Sam Leroux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 43 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 26 | |
| 4 | 2018 | 24 | |
| 5 | 2019 | 24 | |
| 6 | 2015 | 23 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2016 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 7 | |
| 19 | Combining collaborative filtering and search engine into hybrid news recommendations | 2015 | 5 |
| 20 | 2024 | 5 |
About Sam Leroux
Sam Leroux is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Hardware and Architecture and Small Animals, having authored 49 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Reinforcement Learning in Robotics (5 papers), Smart Agriculture and AI (5 papers), Anomaly Detection Techniques and Applications (4 papers), Privacy-Preserving Technologies in Data (3 papers), Advanced Memory and Neural Computing (3 papers), IoT and Edge/Fog Computing (3 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Artificial Intelligence (146 citations), Computer Vision and Pattern Recognition (88 citations), Computer Networks and Communications (83 citations), Industrial and Manufacturing Engineering (15 citations) and Hardware and Architecture (10 citations). Sam Leroux has collaborated with scholars based in Belgium, Netherlands and Spain. Frequent co-authors include Pieter Simoens, Bart Dhoedt, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Teresa Serrano‐Gotarredona, Bernabe Linares-Barranco, Amirreza Yousefzadeh, Mina A. Khoei and Cedric De Boom. Their work appears in journals such as Sensors, Machine Learning, Future Generation Computer Systems, Neural Computing and Applications and Computers & Electrical Engineering.
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.