Jan Gregersen
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
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- Scientific Computing and Data Management
Papers in
-
- Hydrology and Watershed Management Studies 4
- Geology 3
- Environmental Monitoring and Data Management 3
- Co-authors
- Peter Gijsbers (4 shared papers)M. Blind (2 shared papers)Rob Knapen (1 shared paper)Roger A. Moore (1 shared paper)Gennadii Donchyts (1 shared paper)Peter F. Schade (1 shared paper)
- Journals
- Advances in geosciences (2 papers)Journal of Hydroinformatics (1 paper)Water science and technology library (1 paper)WORLD SCIENTIFIC eBooks (1 paper)ScholarsArchive (Brigham Young University) (1 paper)
- Partner nations
- DenmarkNetherlandsUnited Kingdom
In The Last Decade
Jan Gregersen
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 59
- Water Science and Technology 173
- Information Systems and Management 82
- Geology 62
- Environmental Engineering 86
- Global and Planetary Change 110
Countries citing papers authored by Jan Gregersen
This map shows the geographic impact of Jan Gregersen'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 Jan Gregersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Gregersen more than expected).
Fields of papers citing papers by Jan Gregersen
This network shows the impact of papers produced by Jan Gregersen. 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 Jan Gregersen. The network helps show where Jan Gregersen may publish in the future.
Co-authors
The 6 scholars most cited alongside Jan Gregersen, 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 | 2007 | 278 | |
| 2 | 2005 | 37 | |
| 3 | 2005 | 31 | |
| 4 | OpenMI - What's new? | 2010 | 6 |
| 5 | 2008 | 4 | |
| 6 | 2004 | 3 | |
| 7 | 2009 | 2 | |
| 8 | 2011 | 1 |
About Jan Gregersen
Jan Gregersen is a scholar working on Water Science and Technology, Geology, Pollution, Computer Networks and Communications and Sociology and Political Science, having authored 8 papers that have together received 362 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (4 papers), Environmental Monitoring and Data Management (3 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Hydrological Forecasting Using AI (1 paper), Innovation, Technology, and Society (1 paper), Software Engineering and Design Patterns (1 paper), Advanced Database Systems and Queries (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Water Science and Technology (173 citations), Information Systems and Management (82 citations), Geology (62 citations), Environmental Engineering (86 citations) and Global and Planetary Change (110 citations). Jan Gregersen has collaborated with scholars based in Denmark, Netherlands and United Kingdom. Frequent co-authors include Peter Gijsbers, M. Blind, Rob Knapen, Roger A. Moore, Gennadii Donchyts and Peter F. Schade. Their work appears in journals such as Advances in geosciences, Journal of Hydroinformatics, Water science and technology library, WORLD SCIENTIFIC eBooks and ScholarsArchive (Brigham Young University).
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.