Iwan Supit

5.3k total citations · 1 hit paper
64 papers, 2.5k citations indexed

About

Iwan Supit is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Iwan Supit has authored 64 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, Evolution, Behavior and Systematics, 25 papers in Global and Planetary Change and 17 papers in Water Science and Technology. Recurrent topics in Iwan Supit's work include Climate change impacts on agriculture (31 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Hydrology and Watershed Management Studies (12 papers). Iwan Supit is often cited by papers focused on Climate change impacts on agriculture (31 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Hydrology and Watershed Management Studies (12 papers). Iwan Supit collaborates with scholars based in Netherlands, Italy and Bangladesh. Iwan Supit's co-authors include Fulco Ludwig, Allard de Wit, P. Kabat, Hendrik Boogaard, Bettina Baruth, F.W.T. Penning de Vries, Geng Shu, C.A. van Diepen, Kees van Diepen and D. van Kraalingen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Iwan Supit

61 papers receiving 2.4k citations

Hit Papers

25 years of the WOFOST cropping systems model 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 25 years of the WOFOST cropping systems model
    2018 306 citations Allard de Wit, Hendrik Boogaard et al. Agricultural Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iwan Supit Netherlands 26 1.0k 901 869 516 494 64 2.5k
Josef Eitzinger Austria 33 1.4k 1.4× 1.1k 1.2× 1.1k 1.3× 323 0.6× 552 1.1× 104 3.2k
Hendrik Boogaard Netherlands 23 868 0.9× 1.1k 1.2× 1.3k 1.4× 267 0.5× 508 1.0× 53 2.8k
Wenjiao Shi China 26 1.1k 1.0× 896 1.0× 766 0.9× 238 0.5× 460 0.9× 114 2.6k
Sander J. Zwart Ivory Coast 27 1.3k 1.3× 711 0.8× 1.0k 1.2× 757 1.5× 892 1.8× 70 3.2k
Seydou Traoré United States 25 931 0.9× 775 0.9× 575 0.7× 267 0.5× 466 0.9× 78 2.0k
Puyu Feng China 32 1.4k 1.4× 1.1k 1.3× 1.3k 1.5× 564 1.1× 586 1.2× 125 3.3k
Zdeňěk Žalud Czechia 36 1.9k 1.8× 1.1k 1.3× 1.3k 1.5× 357 0.7× 470 1.0× 116 3.8k
Marco Acutis Italy 32 631 0.6× 675 0.7× 1.1k 1.2× 291 0.6× 983 2.0× 127 3.1k
Joel O. Paz United States 27 523 0.5× 668 0.7× 913 1.1× 330 0.6× 459 0.9× 93 2.2k
C.A. van Diepen Netherlands 21 945 0.9× 898 1.0× 968 1.1× 295 0.6× 537 1.1× 60 2.5k

Countries citing papers authored by Iwan Supit

Since Specialization
Citations

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

Fields of papers citing papers by Iwan Supit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iwan Supit. 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 Iwan Supit. The network helps show where Iwan Supit may publish in the future.

Co-authorship network of co-authors of Iwan Supit

This figure shows the co-authorship network connecting the top 25 collaborators of Iwan Supit. A scholar is included among the top collaborators of Iwan Supit 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 Iwan Supit. Iwan Supit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Supit, Iwan, et al.. (2025). Projected climate change impacts on Potato yield in East Africa. European Journal of Agronomy. 166. 127560–127560. 2 indexed citations
2.
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Sutanto, Samuel Jonson, et al.. (2024). Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico. SHILAP Revista de lepidopterología. 1(1). 8 indexed citations
4.
Wit, Allard de, et al.. (2023). Copernicus global crop productivity indicators: An evaluation based on regionally reported yields. Climate Services. 30. 100374–100374. 4 indexed citations
5.
Supit, Iwan, Ronald Hutjes, Fen Zhang, et al.. (2023). Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model. Agricultural Systems. 209. 103688–103688. 18 indexed citations
6.
Supit, Iwan, et al.. (2023). Effect of soil and water salinity on dry season boro rice production in the south-central coastal area of Bangladesh. Heliyon. 9(8). e19180–e19180. 15 indexed citations
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Braakhekke, Maarten C., Bart Kruijt, Eddy Moors, et al.. (2019). Modelling the response of net primary productivity of the Zambezi teak forests to climate change along a rainfall gradient in Zambia. Biogeosciences. 16(19). 3853–3867. 4 indexed citations
10.
Wit, Allard de, Hendrik Boogaard, Davide Fumagalli, et al.. (2018). 25 years of the WOFOST cropping systems model. Agricultural Systems. 168. 154–167. 306 indexed citations breakdown →
11.
Hoang, Long Phi, Michelle T. H. van Vliet, Matti Kummu, et al.. (2018). The Mekong's future flows under multiple drivers: How climate change, hydropower developments and irrigation expansions drive hydrological changes. The Science of The Total Environment. 649. 601–609. 119 indexed citations
12.
Braakhekke, Maarten C., Bart Kruijt, Eddy Moors, et al.. (2018). Response of Net Primary Productivity of Zambezi teak forests to climate change along a rainfall gradient in Zambia. Biogeosciences (European Geosciences Union). 1 indexed citations
13.
Kroes, J.G., et al.. (2018). Impact of capillary rise and recirculation on simulated crop yields. Hydrology and earth system sciences. 22(5). 2937–2952. 33 indexed citations
14.
Kroes, J.G., et al.. (2017). Impact of capillary rise and recirculation on crop yields. 3 indexed citations
15.
Supit, Iwan, et al.. (2016). Probabilistic maize yield simulation over East Africa using ensemble seasonal climate forecasts. Socio-Environmental Systems Modeling. 1 indexed citations
16.
Hoang, Long Phi, Việt Dũng Nguyễn, Matti Kummu, et al.. (2016). Extreme floods in the Mekong River Delta under climate change: combined impacts of upstream hydrological changes and sea level rise. EGUGA. 1 indexed citations
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18.
Hoang, Long Phi, H. Lauri, Matti Kummu, et al.. (2016). Mekong River flow and hydrological extremes under climate change. Hydrology and earth system sciences. 20(7). 3027–3041. 185 indexed citations
19.
Nezry, E., et al.. (1997). Retrieval of environmental and geophysical parameters through Bayesian fusion of ERS and RADARSAT data. 414. 119–122. 6 indexed citations
20.
Vries, F.W.T. Penning de, et al.. (1985). Analysis and simulation of weather variables; part I: rain and wind in Wageningen. 2 indexed citations

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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