Sam Leroux
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Anomaly Detection Techniques and Applications 8
- Neural Networks and Applications 6
- Adversarial Robustness in Machine Learning 3
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- Advanced Neural Network Applications 10
- Video Surveillance and Tracking Methods 4
- Digital Media Forensic Detection 3
- Co-authors
- Pieter Simoens (32 shared papers)Bart Dhoedt (14 shared papers)Tim Verbelen (11 shared papers)Bert Vankeirsbilck (9 shared papers)Steven Bohez (9 shared papers)Bo Li (2 shared papers)Bo Li (1 shared paper)Amirreza Yousefzadeh (2 shared papers)
- Journals
- Sensors (3 papers)Future Generation Computer Systems (2 papers)Machine Learning (2 papers)Applied Intelligence (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Sam Leroux
33 papers receiving 308 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 126
- Computer Vision and Pattern Recognition 111
- Artificial Intelligence 153
- Signal Processing 23
- Cognitive Neuroscience 28
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2021 | 27 | |
| 3 | 2015 | 23 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2015 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 3 | |
| 19 | Combining collaborative filtering and search engine into hybrid news recommendations | 2015 | 3 |
| 20 | 2023 | 2 |
About Sam Leroux
Sam Leroux is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Signal Processing, having authored 41 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Anomaly Detection Techniques and Applications (8 papers), Neural Networks and Applications (6 papers), IoT and Edge/Fog Computing (5 papers), Advanced Memory and Neural Computing (4 papers), Video Surveillance and Tracking Methods (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (126 citations), Computer Vision and Pattern Recognition (111 citations), Artificial Intelligence (153 citations), Signal Processing (23 citations) and Cognitive Neuroscience (28 citations). Sam Leroux has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Pieter Simoens, Bart Dhoedt, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Bo Li, Bo Li, Amirreza Yousefzadeh, B. Linares-Barranco and Teresa Serrano‐Gotarredona. Their work appears in journals such as Sensors, Future Generation Computer Systems, Machine Learning, Applied Intelligence and Frontiers in Plant Science.
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.