Peter Thijsse
Impact in
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- Species Distribution and Climate Change
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- Marine and coastal ecosystems
Papers in
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- Semantic Web and Ontologies 4
- Advanced Computational Techniques and Applications 1
- Computational Physics and Python Applications 1
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- Scientific Computing and Data Management 4
- Co-authors
- Jaume Piera (2 shared papers)H.J. van der Woerd (2 shared papers)Luigi Ceccaroni (2 shared papers)Oliver Zielinski (2 shared papers)Marcel Robert Wernand (2 shared papers)Carine Simon (1 shared paper)Julia Busch (1 shared paper)Dick Schaap (4 shared papers)
- Journals
- Remote Sensing (1 paper)PLoS ONE (1 paper)International Journal of Data Science and Analytics (1 paper)Standards in Genomic Sciences (1 paper)IOC of UNESCO (Intergovernmental Oceanographic Commission) (1 paper)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Peter Thijsse
9 papers receiving 100 citations
Peers
Comparison fields: 5 of 43
- Ecological Modeling 17
- Oceanography 32
- Water Science and Technology 24
- Information Systems and Management 11
- Computer Science Applications 8
Countries citing papers authored by Peter Thijsse
This map shows the geographic impact of Peter Thijsse'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 Peter Thijsse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Thijsse more than expected).
Fields of papers citing papers by Peter Thijsse
This network shows the impact of papers produced by Peter Thijsse. 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 Peter Thijsse. The network helps show where Peter Thijsse may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Thijsse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 51 | |
| 2 | 2020 | 22 | |
| 3 | 2015 | 12 | |
| 4 | 2019 | 7 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 1 | |
| 8 | Delivering marine data from the cloud - Recent developments on the SeaDataCloud Discovery and Access service | 2019 | 1 |
| 9 | 2023 | 1 | |
| 10 | 2019 | 0 |
About Peter Thijsse
Peter Thijsse is a scholar working on Artificial Intelligence, Information Systems and Management, Management Science and Operations Research, Oceanography and Information Systems, having authored 10 papers that have together received 101 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Data Quality and Management (4 papers), Scientific Computing and Data Management (4 papers), Marine and coastal ecosystems (2 papers), Water Quality Monitoring and Analysis (1 paper), Advanced Computational Techniques and Applications (1 paper), Microbial Community Ecology and Physiology (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Ecological Modeling (17 citations), Oceanography (32 citations), Water Science and Technology (24 citations), Information Systems and Management (11 citations) and Computer Science Applications (8 citations). Peter Thijsse has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Jaume Piera, H.J. van der Woerd, Luigi Ceccaroni, Oliver Zielinski, Marcel Robert Wernand, Carine Simon, Julia Busch, Dick Schaap, Stéfani Novoa and Meinte Blaas. Their work appears in journals such as Remote Sensing, PLoS ONE, International Journal of Data Science and Analytics, Standards in Genomic Sciences and IOC of UNESCO (Intergovernmental Oceanographic Commission).
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.