Mathias Dillen
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Heavy metals in environment
Papers in
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- Species Distribution and Climate Change 11
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- Research Data Management Practices 9
- Co-authors
- Joop A. de Knecht (1 shared paper)W. H. O. Ernst (1 shared paper)Henk Schat (1 shared paper)Kris Verheyen (5 shared papers)Quentin Groom (18 shared papers)Margot Vanhellemont (2 shared papers)Luc Willemse (4 shared papers)Christian Smit (3 shared papers)
- Journals
- ZooKeys (6 papers)Forest Ecology and Management (3 papers)PLoS ONE (2 papers)PLANT PHYSIOLOGY (1 paper)Machine Vision and Applications (1 paper)
- Partner nations
- BelgiumUnited KingdomNetherlands
In The Last Decade
Mathias Dillen
26 papers receiving 387 citations
Peers
Comparison fields: 5 of 71
- Ecological Modeling 89
- Pollution 62
- Plant Science 178
- Information Systems and Management 31
- Nature and Landscape Conservation 38
Countries citing papers authored by Mathias Dillen
This map shows the geographic impact of Mathias Dillen'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 Mathias Dillen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Dillen more than expected).
Fields of papers citing papers by Mathias Dillen
This network shows the impact of papers produced by Mathias Dillen. 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 Mathias Dillen. The network helps show where Mathias Dillen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Dillen, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 180 | |
| 2 | 2014 | 32 | |
| 3 | 2019 | 23 | |
| 4 | 2016 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2024 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2019 | 1 |
About Mathias Dillen
Mathias Dillen is a scholar working on Ecological Modeling, Information Systems, Ecology, Evolution, Behavior and Systematics, Ecology and Information Systems and Management, having authored 29 papers that have together received 402 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (11 papers), Research Data Management Practices (9 papers), Scientific Computing and Data Management (5 papers), Forest Ecology and Biodiversity Studies (4 papers), Plant and animal studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Environmental DNA in Biodiversity Studies (4 papers) and Forest ecology and management (2 papers). The work is most often cited by research in Ecological Modeling (89 citations), Pollution (62 citations), Plant Science (178 citations), Information Systems and Management (31 citations) and Nature and Landscape Conservation (38 citations). Mathias Dillen has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Joop A. de Knecht, W. H. O. Ernst, Henk Schat, Kris Verheyen, Quentin Groom, Margot Vanhellemont, Luc Willemse, Christian Smit, Lander Baeten and Kathy Steppe. Their work appears in journals such as ZooKeys, Forest Ecology and Management, PLoS ONE, PLANT PHYSIOLOGY and Machine Vision and Applications.
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.