Stijn Luca
Impact in
- Insect Science top 5%
- Insect Utilization and Effects
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
-
- Anomaly Detection Techniques and Applications 5
- Topic Modeling 4
- Machine Learning in Healthcare 4
- Co-authors
- Bart Vanrumste (21 shared papers)Johan Claes (5 shared papers)Enya Wynants (1 shared paper)Tom Croonenborghs (5 shared papers)Leen Van Campenhout (1 shared paper)Sam Crauwels (1 shared paper)Bart Lievens (1 shared paper)Peter Karsmakers (8 shared papers)
- Journals
- IEEE Access (3 papers)Ecological Modelling (3 papers)Discrete and Continuous Dynamical Systems (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Journal of Food Engineering (1 paper)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Stijn Luca
44 papers receiving 521 citations
Peers
Comparison fields: 5 of 119
- Insect Science 105
- Ecological Modeling 36
- Statistics, Probability and Uncertainty 33
- Health Informatics 5
- Social Psychology 70
Countries citing papers authored by Stijn Luca
This map shows the geographic impact of Stijn Luca'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 Stijn Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stijn Luca more than expected).
Fields of papers citing papers by Stijn Luca
This network shows the impact of papers produced by Stijn Luca. 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 Stijn Luca. The network helps show where Stijn Luca may publish in the future.
Co-authors
The 25 scholars most cited alongside Stijn Luca, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 104 | |
| 2 | 2013 | 56 | |
| 3 | 2021 | 40 | |
| 4 | 2021 | 38 | |
| 5 | 2013 | 29 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 21 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2018 | 8 |
About Stijn Luca
Stijn Luca is a scholar working on Artificial Intelligence, Nature and Landscape Conservation, Computer Vision and Pattern Recognition, Ecology and Food Science, having authored 47 papers that have together received 534 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Topic Modeling (4 papers), Machine Learning in Healthcare (4 papers), Species Distribution and Climate Change (3 papers), Time Series Analysis and Forecasting (3 papers), Gestational Diabetes Research and Management (3 papers), Marine and fisheries research (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Insect Science (105 citations), Ecological Modeling (36 citations), Statistics, Probability and Uncertainty (33 citations), Health Informatics (5 citations) and Social Psychology (70 citations). Stijn Luca has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Bart Vanrumste, Johan Claes, Enya Wynants, Tom Croonenborghs, Leen Van Campenhout, Sam Crauwels, Bart Lievens, Peter Karsmakers, Johan Ceusters and Raf Aerts. Their work appears in journals such as IEEE Access, Ecological Modelling, Discrete and Continuous Dynamical Systems, IEEE Journal of Biomedical and Health Informatics and Journal of Food 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.