Karin Schenk
- Water Science and Technology top 10%
- Information Systems top 10%
- Oceanography top 10%
- Industrial and Manufacturing Engineering
- Management Information Systems top 10%
- Co-authors
- Nicholas P. VitalariMariano BrescianiClaudia GiardinoFederica BragaVittorio BrandoIlaria CazzanigaErica MattaStefan C. Müller
- Topics
- Marine and coastal ecosystems (4 papers)Water Quality Monitoring Technologies (2 papers)Remote Sensing in Agriculture (2 papers)
In The Last Decade
Karin Schenk
11 papers receiving 284 citations
Peers
Comparison fields: 5 of 89
- Water Science and Technology 77
- Information Systems 68
- Oceanography 68
- Industrial and Manufacturing Engineering 40
- Management Information Systems 36
Countries citing papers authored by Karin Schenk
This map shows the geographic impact of Karin Schenk'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 Karin Schenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schenk more than expected).
Fields of papers citing papers by Karin Schenk
This network shows the impact of papers produced by Karin Schenk. 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 Karin Schenk. The network helps show where Karin Schenk may publish in the future.
Co-authorship network of co-authors of Karin Schenk
This figure shows the co-authorship network connecting the top 25 collaborators of Karin Schenk. A scholar is included among the top collaborators of Karin Schenk 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 Karin Schenk. Karin Schenk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | An Early Warning System for water quantity and quality of reservoirs based on operational hydrological and ecological short-term forecasting. | 1 |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | Analysis of mineral-rich suspended matter in glacial lakes using simulations and satellite data | 4 |
| 7 | Global Lakes Sentinel Services: Water Quality Parameters Retrieval in Lakes Using the MERIS and S3-OLCI Band Sets | 2 |
| 8 | 100 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 0 | |
| 12 | 139 |
About Karin Schenk
Karin Schenk is a scholar working on Water Science and Technology, Oceanography and Media Technology, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (4 papers), Water Quality Monitoring Technologies (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Oceanography (68 citations), Water Science and Technology (77 citations) and Industrial and Manufacturing Engineering (40 citations). Karin Schenk has collaborated with scholars based in Italy, Germany and Sweden. Frequent co-authors include Nicholas P. Vitalari, Mariano Bresciani, Claudia Giardino, Federica Braga, Vittorio Brando, Ilaria Cazzaniga, Erica Matta, Stefan C. Müller, Norbert Laube and Thomas Heege. Their work appears in journals such as Sensors, Journal of Management Information Systems and Journal of Archaeological Science.
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.