Claus Weiland

451 total citations
32 papers, 151 citations indexed

About

Claus Weiland is a scholar working on Ecological Modeling, Information Systems and Information Systems and Management. According to data from OpenAlex, Claus Weiland has authored 32 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecological Modeling, 13 papers in Information Systems and 10 papers in Information Systems and Management. Recurrent topics in Claus Weiland's work include Species Distribution and Climate Change (16 papers), Research Data Management Practices (13 papers) and Scientific Computing and Data Management (10 papers). Claus Weiland is often cited by papers focused on Species Distribution and Climate Change (16 papers), Research Data Management Practices (13 papers) and Scientific Computing and Data Management (10 papers). Claus Weiland collaborates with scholars based in Germany, Netherlands and United Kingdom. Claus Weiland's co-authors include Marco Schmidt, Thomas Hickler, Stefan Dreßler, Bernhard Seeger, Falko Glöckler, Alex Hardisty, Robert Hoehndorf, Marco Thines, Bagdevi Mishra and Sebastian Ploch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Basic and Applied Ecology and The Knowledge Engineering Review.

In The Last Decade

Claus Weiland

25 papers receiving 137 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claus Weiland Germany 6 63 51 47 36 36 32 151
Edward Gilbert United States 8 91 1.4× 46 0.9× 41 0.9× 28 0.8× 36 1.0× 25 204
Terry Catapano United States 9 107 1.7× 76 1.5× 43 0.9× 12 0.3× 19 0.5× 16 216
Willi Egloff Switzerland 6 77 1.2× 45 0.9× 36 0.8× 25 0.7× 15 0.4× 12 127
Guido Sautter Germany 12 124 2.0× 116 2.3× 61 1.3× 17 0.5× 18 0.5× 28 315
Dag Endresen Norway 9 52 0.8× 37 0.7× 27 0.6× 14 0.4× 178 4.9× 28 298
James Macklin Canada 11 180 2.9× 110 2.2× 87 1.9× 58 1.6× 92 2.6× 44 372
Martin R. Pullan United Kingdom 6 58 0.9× 45 0.9× 8 0.2× 9 0.3× 25 0.7× 6 114
Cyril Pommier France 5 23 0.4× 91 1.8× 32 0.7× 25 0.7× 161 4.5× 11 246
Pascal Neveu France 9 10 0.2× 31 0.6× 13 0.3× 12 0.3× 48 1.3× 19 213
Justin Preece United States 9 16 0.3× 219 4.3× 19 0.4× 8 0.2× 188 5.2× 14 386

Countries citing papers authored by Claus Weiland

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Claus Weiland

This figure shows the co-authorship network connecting the top 25 collaborators of Claus Weiland. A scholar is included among the top collaborators of Claus Weiland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claus Weiland. Claus Weiland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bucher, Solveig Franziska, Sebastian Gebauer, Jochen Müller, et al.. (2025). Collectomics in plant biodiversity research − looking into the past to understand the present and shape the future. Basic and Applied Ecology. 88. 1–8.
2.
3.
4.
Jansen, Martin, et al.. (2024). Engaging Citizen Scientists in Biodiversity Monitoring: Insights from the WildLIVE! Project. Citizen Science Theory and Practice. 9(1). 6–6. 4 indexed citations
5.
Weiland, Claus, et al.. (2024). Dataspace Integration for Agrobiodiversity Digital Twins with RO-Crate. Biodiversity Information Science and Standards. 8.
6.
Chala, Desalegn, et al.. (2024). Prototype biodiversity digital twin: crop wild relatives genetic resources for food security. SHILAP Revista de lepidopterología. 10. 5 indexed citations
7.
Ingenloff, Kate, et al.. (2024). Prototype Biodiversity Digital Twin: Disease Outbreaks. SHILAP Revista de lepidopterología. 10. 3 indexed citations
8.
Koureas, Dimitrios, Laurence Livermore, Maria Judite Alves, et al.. (2023). DiSSCo Prepare Project: Increasing the Implementation Readiness Levels of the European Research Infrastructure. SHILAP Revista de lepidopterología. 9. 2 indexed citations
9.
Soiland‐Reyes, Stian, et al.. (2023). FDO Forum FDO Requirement Specifications. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
10.
Haston, Elspeth, et al.. (2023). Mapping across Standards to Calculate the MIDS Level of Digitisation of Natural Science Collections. Biodiversity Information Science and Standards. 7.
11.
Soiland‐Reyes, Stian, et al.. (2023). FAIR Digital Object Technical Overview. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
12.
Weiland, Claus, et al.. (2023). Mapping.bio: Piloting FAIR semantic mappings for biodiversity digital twins. Biodiversity Information Science and Standards. 7. 2 indexed citations
13.
Weiland, Claus, et al.. (2021). Machine Learning as a Service for DiSSCo’s Digital  Specimen Architecture. Biodiversity Information Science and Standards. 5. 5 indexed citations
14.
Broeder, Daan, Wim Hugo, Keith Jeffery, et al.. (2021). SEMAF: A Proposal for a Flexible Semantic Mapping Framework. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
15.
Schmidt, Marco, et al.. (2020). Detection and annotation of plant organs from digitised herbarium scans using deep learning. ZooKeys. 8. e57090–e57090. 31 indexed citations
16.
Khiat, Abderrahmane, et al.. (2020). Matching biodiversity and ecology ontologies: challenges and evaluation results. The Knowledge Engineering Review. 35. 9 indexed citations
17.
Schmidt, Marco, et al.. (2019). A Workflow for Data Extraction from Digitized Herbarium Specimens. Biodiversity Information Science and Standards. 3. 1 indexed citations
18.
Koch, Markus, et al.. (2017). Setup of BIOfid, a new Specialised Information Service for Biodiversity Research. Biodiversity Information Science and Standards. 1. e19803–e19803. 4 indexed citations
19.
Weiland, Claus, Robert Hoehndorf, George Gosline, et al.. (2016). FLOPO - An Ontology for the Integration of Trait Data from Digitized Floras and Plant Image Collections.. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1 indexed citations
20.
Hoehndorf, Robert, Mona Alshahrani, Georgios V. Gkoutos, et al.. (2016). The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants. Journal of Biomedical Semantics. 7(1). 65–65. 28 indexed citations

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.

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Rankless by CCL
2026