Hugo de Groot
Impact in
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility
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- Climate change impacts on agriculture
Papers in
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- Climate change impacts on agriculture 3
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- Information Systems Theories and Implementation 1
- Co-authors
- Lieven Claessens (3 shared papers)J. Wolf (3 shared papers)M.K. van Ittersum (3 shared papers)Kenneth G. Cassman (3 shared papers)Justin Van Wart (3 shared papers)Hendrik Boogaard (3 shared papers)L.G.J. van Bussel (3 shared papers)Haishun Yang (3 shared papers)
- Journals
- Field Crops Research (2 papers)Environmental Modelling & Software (1 paper)Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) (1 paper)ETA Florence (1 paper)
- Partner nations
- NetherlandsUnited StatesKenya
In The Last Decade
Hugo de Groot
4 papers receiving 437 citations
Hugo de Groot's Hit Papers
Peers
Comparison fields: 5 of 48
- Agronomy and Crop Science 139
- Ecology, Evolution, Behavior and Systematics 264
- Soil Science 111
- Plant Science 270
- General Agricultural and Biological Sciences 56
Countries citing papers authored by Hugo de Groot
This map shows the geographic impact of Hugo de Groot'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 Hugo de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo de Groot more than expected).
Fields of papers citing papers by Hugo de Groot
This network shows the impact of papers produced by Hugo de Groot. 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 Hugo de Groot. The network helps show where Hugo de Groot may publish in the future.
Co-authors
The 19 scholars most cited alongside Hugo de Groot, 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 | How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis Hit paper breakdown → | 2015 | 289 |
| 2 | 2015 | 155 | |
| 3 | 2017 | 3 | |
| 4 | 2016 | 3 | |
| 5 | 2025 | 0 |
About Hugo de Groot
Hugo de Groot is a scholar working on Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Management of Technology and Innovation, Agronomy and Crop Science and Media Technology, having authored 5 papers that have together received 450 indexed citations. Recurring topics across this work include Climate change impacts on agriculture (3 papers), Agricultural risk and resilience (1 paper), Hydrology and Drought Analysis (1 paper), Crop Yield and Soil Fertility (1 paper), Information Systems Theories and Implementation (1 paper), Smart Cities and Technologies (1 paper), Rice Cultivation and Yield Improvement (1 paper) and Innovative Approaches in Technology and Social Development (1 paper). The work is most often cited by research in Agronomy and Crop Science (139 citations), Ecology, Evolution, Behavior and Systematics (264 citations), Soil Science (111 citations), Plant Science (270 citations) and General Agricultural and Biological Sciences (56 citations). Hugo de Groot has collaborated with scholars based in Netherlands, United States and Kenya. Frequent co-authors include Lieven Claessens, J. Wolf, M.K. van Ittersum, Kenneth G. Cassman, Justin Van Wart, Hendrik Boogaard, L.G.J. van Bussel, Haishun Yang, Patricio Grassini and Kazuki Saito. Their work appears in journals such as Field Crops Research, Environmental Modelling & Software, Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) and ETA Florence.
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.