David Makowski

15.9k total citations · 10 hit papers
216 papers, 9.4k citations indexed

About

David Makowski is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, David Makowski has authored 216 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Plant Science, 64 papers in Ecology, Evolution, Behavior and Systematics and 60 papers in Agronomy and Crop Science. Recurrent topics in David Makowski's work include Climate change impacts on agriculture (43 papers), Soil Carbon and Nitrogen Dynamics (30 papers) and Agronomic Practices and Intercropping Systems (29 papers). David Makowski is often cited by papers focused on Climate change impacts on agriculture (43 papers), Soil Carbon and Nitrogen Dynamics (30 papers) and Agronomic Practices and Intercropping Systems (29 papers). David Makowski collaborates with scholars based in France, United States and China. David Makowski's co-authors include Tamara Ben‐Ari, Éric Malézieux, Wopke van der Werf, Damien Beillouin, T.J. Stomph, Philippe Ciais, Chantal Loyce, Yang Yu, Elise Pelzer and Daniel Wallach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

David Makowski

204 papers receiving 9.1k citations

Hit Papers

Mixing plant species in c... 2008 2026 2014 2020 2008 2015 2021 2017 2022 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Makowski 4.3k 3.1k 1.9k 1.9k 1.6k 216 9.4k
Matt Liebman 5.5k 1.3× 4.1k 1.3× 2.5k 1.3× 1.5k 0.8× 802 0.5× 176 9.8k
H. van Keulen 4.2k 1.0× 2.1k 0.7× 2.9k 1.5× 2.7k 1.5× 2.3k 1.5× 333 10.6k
Peter Gregory 6.9k 1.6× 2.2k 0.7× 3.5k 1.9× 1.5k 0.8× 1.6k 1.0× 266 12.4k
Sieglinde S. Snapp 4.1k 0.9× 2.9k 0.9× 3.5k 1.8× 1.2k 0.6× 823 0.5× 227 9.6k
Thomas W. Kuyper 7.7k 1.8× 1.5k 0.5× 4.3k 2.3× 2.1k 1.1× 1.2k 0.8× 215 13.8k
Marc Corbeels 2.3k 0.5× 2.2k 0.7× 3.5k 1.9× 2.4k 1.3× 888 0.6× 152 8.2k
Senthold Asseng 7.2k 1.7× 3.2k 1.0× 2.3k 1.2× 5.7k 3.1× 3.2k 2.1× 214 12.1k
John A. Kirkegaard 9.8k 2.3× 4.4k 1.4× 4.8k 2.6× 1.8k 0.9× 701 0.4× 210 14.9k
Andreas Buerkert 2.8k 0.6× 989 0.3× 1.7k 0.9× 1.2k 0.6× 1.3k 0.8× 311 7.2k
Jean‐François Soussana 3.1k 0.7× 1.9k 0.6× 4.3k 2.3× 2.3k 1.2× 4.0k 2.6× 153 12.1k

Countries citing papers authored by David Makowski

Since Specialization
Citations

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

Fields of papers citing papers by David Makowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Makowski

This figure shows the co-authorship network connecting the top 25 collaborators of David Makowski. A scholar is included among the top collaborators of David Makowski 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 David Makowski. David Makowski 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.
Jing, Jingying, David Makowski, Xueqing He, et al.. (2025). Crop rotations synergize yield, nutrition, and revenue: a meta-analysis. Nature Communications. 16(1). 9552–9552. 1 indexed citations
3.
Locatelli, Bruno, David Makowski, Améline Vallet, et al.. (2025). Uncertainties in future ecosystem services under land and climate scenarios: The case of erosion in the Alps. Ecological Modelling. 502. 111041–111041. 2 indexed citations
4.
Vallet, Améline, et al.. (2025). High‐Resolution Downscaling of Disposable Income in Europe Using Open‐Source Data. Earth s Future. 13(1).
5.
Iizumi, Toshichika, Toru Sakai, Yoshimitsu Masaki, et al.. (2025). Assessing the capacity of agricultural research and development to increase the stability of global crop yields under climate change. PNAS Nexus. 4(4). pgaf099–pgaf099. 2 indexed citations
6.
Makowski, David, et al.. (2024). Multi-Objective Optimization for Large-scale Allocation of Soybean Crops. Proceedings of the Genetic and Evolutionary Computation Conference. 1174–1182.
7.
Ciais, Philippe, et al.. (2024). Leveraging Satellite Data With Machine and Deep Learning Techniques for Corn Yield and Price Forecasting. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 3 indexed citations
8.
Brunelle, Thierry, Raja Chakir, Alain Carpentier, et al.. (2024). Reducing chemical inputs in agriculture requires a system change. Communications Earth & Environment. 5(1). 33 indexed citations
9.
Su, Yang, Philippe Ciais, Ronny Lauerwald, et al.. (2024). Quantifying albedo impact and radiative forcing of management practices in European wheat cropping systems. Environmental Research Letters. 19(7). 74042–74042.
10.
Abramoff, Rose, Philippe Ciais, Peng Zhu, et al.. (2023). Adaptation Strategies Strongly Reduce the Future Impacts of Climate Change on Simulated Crop Yields. Earth s Future. 11(4). 37 indexed citations
11.
Guillaume, Thomas, David Makowski, Zamir Libohova, et al.. (2022). Carbon storage in agricultural topsoils and subsoils is promoted by including temporary grasslands into the crop rotation. Geoderma. 422. 115937–115937. 32 indexed citations
12.
Frampton, Geoff K, Paul Whaley, Micah G. Bennett, et al.. (2022). Principles and framework for assessing the risk of bias for studies included in comparative quantitative environmental systematic reviews. Environmental Evidence. 11(1). 46 indexed citations
13.
Zhu, Peng, Tae‐Gon Kim, Zhenong Jin, et al.. (2022). The critical benefits of snowpack insulation and snowmelt for winter wheat productivity. Nature Climate Change. 12(5). 485–490. 37 indexed citations
14.
Liu, Yongwen, Shilong Piao, David Makowski, et al.. (2022). Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass. Environmental Research Letters. 17(7). 74032–74032. 7 indexed citations
15.
Liu, Yunhui, David Makowski, Teja Tscharntke, et al.. (2022). Pollination deficits and contributions of pollinators in apple production: A global meta‐analysis. Journal of Applied Ecology. 59(12). 2911–2921. 32 indexed citations
16.
Qiu, Chunjing, Philippe Ciais, Dan Zhu, et al.. (2021). Large historical carbon emissions from cultivated northern peatlands. Science Advances. 7(23). 52 indexed citations
17.
Schneider, Kevin, David Makowski, & Wopke van der Werf. (2021). Predicting hotspots for invasive species introduction in Europe. Environmental Research Letters. 16(11). 114026–114026. 17 indexed citations
18.
Li, Wei, Philippe Ciais, David Makowski, & Shushi Peng. (2018). A global yield dataset for major lignocellulosic bioenergy crops based on field measurements. Scientific Data. 5(1). 180169–180169. 46 indexed citations
19.
Monod, Hervé, et al.. (2016). A Bayesian approach to model dispersal for decision support. Environmental Modelling & Software. 78. 179–190. 4 indexed citations
20.
Sharif, Behzad, David Makowski, Finn Plauborg, & Jørgen E. Olesen. (2016). Comparison of regression techniques to predict response of oilseed rape yield to variation in climatic conditions in Denmark. European Journal of Agronomy. 82. 11–20. 35 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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