Claus Weiland
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
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- Scientific Computing and Data Management
Papers in
-
- Species Distribution and Climate Change 15
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- Research Data Management Practices 13
- Co-authors
- Marco Schmidt (9 shared papers)Stefan Dreßler (1 shared paper)Bernhard Seeger (2 shared papers)Thomas Hickler (4 shared papers)Bagdevi Mishra (1 shared paper)Marco Thines (1 shared paper)Alex Hardisty (3 shared papers)Sebastian Ploch (1 shared paper)
- Journals
- ZooKeys (9 papers)Citizen Science Theory and Practice (1 paper)The Knowledge Engineering Review (1 paper)Data Science Journal (1 paper)Mycological Progress (1 paper)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Claus Weiland
27 papers receiving 156 citations
Peers
Comparison fields: 5 of 36
- Ecological Modeling 62
- Information Systems and Management 38
- Information Systems 50
- Artificial Intelligence 34
- Ecology 26
Countries citing papers authored by Claus Weiland
This map shows the geographic impact of Claus Weiland'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 Claus Weiland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claus Weiland more than expected).
Fields of papers citing papers by Claus Weiland
This network shows the impact of papers produced by Claus Weiland. 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 Claus Weiland. The network helps show where Claus Weiland may publish in the future.
Co-authors
The 25 scholars most cited alongside Claus Weiland, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 33 | |
| 2 | 2016 | 28 | |
| 3 | 2023 | 18 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 1 |
About Claus Weiland
Claus Weiland is a scholar working on Ecological Modeling, Information Systems, Information Systems and Management, Artificial Intelligence and Molecular Biology, having authored 33 papers that have together received 168 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (15 papers), Research Data Management Practices (13 papers), Scientific Computing and Data Management (10 papers), Semantic Web and Ontologies (6 papers), Bryophyte Studies and Records (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Remote Sensing in Agriculture (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Ecological Modeling (62 citations), Information Systems and Management (38 citations), Information Systems (50 citations), Artificial Intelligence (34 citations) and Ecology (26 citations). Claus Weiland has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Marco Schmidt, Stefan Dreßler, Bernhard Seeger, Thomas Hickler, Bagdevi Mishra, Marco Thines, Alex Hardisty, Sebastian Ploch, Falko Glöckler and Robert Hoehndorf. Their work appears in journals such as ZooKeys, Citizen Science Theory and Practice, The Knowledge Engineering Review, Data Science Journal and Mycological Progress.
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.