Allard de Wit

7.9k citations
86 papers · 4.1k indexed · 5 hit papers · h-index 28

Impact in

Papers in

Allard de Wit

82 papers receiving 4.0k citations

Hit Papers

Interpretability of deep learning models for crop yield forecasting 2023 · 73 citations
732006202620122019100200300400500

Peers

Allard de Wit
Comparison fields: 5 of 98
  • Global and Planetary Change 1.9k
  • Ecology 2.1k
  • Environmental Engineering 886
  • Ecological Modeling 243
  • Ecology, Evolution, Behavior and Systematics 980
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Citations per year

Countries citing papers authored by Allard de Wit

Since Specialization
Citations

This map shows the geographic impact of Allard de Wit'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 Allard de Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allard de Wit more than expected).

Fields of papers citing papers by Allard de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allard de Wit. 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 Allard de Wit. The network helps show where Allard de Wit may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Allard de Wit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Allard de Wit Line = papers co-authored together Allard de Wit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20244
4 20248
5 20241
6 202423
7 20234
8 20238
9 202139
10
25 years of the WOFOST cropping systems model
Hit paper breakdown →
2018306
11 201840
12 201885
13 201459
14
A generic data schema for crop experiment data in food security research
20121
15
Satellite-derived trends in phenology over Europe: real trends or algorithmic effects
20092
16
Regional crop yield forecasting: a probabilistic approach
20091
17
CALPLAT: platform for calibrating CGMS
20071
18 200772
19
Use of MERIS data for land cover mapping in the Netherlands
20045
20
Evolution of vinclozolin and iprodione residues on tomato and on lettuce.
19802

About Allard de Wit

Allard de Wit is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics, Ecology, Environmental Engineering and Plant Science, having authored 86 papers that have together received 4.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (38 papers), Climate change impacts on agriculture (31 papers), Plant Water Relations and Carbon Dynamics (20 papers), Land Use and Ecosystem Services (17 papers), Greenhouse Technology and Climate Control (12 papers), Solar Radiation and Photovoltaics (5 papers), Hydrology and Watershed Management Studies (5 papers) and Climate variability and models (5 papers). The work is most often cited by research in Global and Planetary Change (1.9k citations), Ecology (2.1k citations), Environmental Engineering (886 citations), Ecological Modeling (243 citations) and Ecology, Evolution, Behavior and Systematics (980 citations). Allard de Wit has collaborated with scholars based in Netherlands, Italy and Belgium. Frequent co-authors include Michael E. Schaepman, C.A. van Diepen, Rogier de Jong, Hendrik Boogaard, Sytze de Bruin, David Dent, Iwan Supit, R. Zurita‐Milla, Jason Brazile and J.G.P.W. Clevers. Their work appears in journals such as Agricultural and Forest Meteorology, International Journal of Applied Earth Observation and Geoinformation, European Journal of Agronomy, Agricultural Systems and Agricultural Water Management.

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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2026