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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Can big data explain yield variability and water productivity in intensive cropping systems?
‪João Vasco Silva, Tomás R. Tenreiro, L. Spätjens, et al.
Field Crops Research (2020) Vol. 255, pp. 107828-107828
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Coupling field monitoring with crop growth modelling provides detailed insights on yield gaps at field level: A case study on ware potato production in the Netherlands
Arie Pieter Paulus Ravensbergen, M.K. van Ittersum, C. Kempenaar, et al.
Field Crops Research (2024) Vol. 308, pp. 109295-109295
Open Access | Times Cited: 11
Grand challenges for the 21st century: what crop models can and can't (yet) do
‪João Vasco Silva, K.E. Giller
The Journal of Agricultural Science (2020) Vol. 158, Iss. 10, pp. 794-805
Open Access | Times Cited: 66
How sustainable is sustainable intensification? Assessing yield gaps at field and farm level across the globe
‪João Vasco Silva, Pytrik Reidsma, Frédéric Baudron, et al.
Global Food Security (2021) Vol. 30, pp. 100552-100552
Open Access | Times Cited: 54
On-farm data-rich analysis explains yield and quantifies yield gaps of winter wheat in the U.S. central Great Plains
B. R. Jaenisch, Lucas Berger Munaro, Leonardo M. Bastos, et al.
Field Crops Research (2021) Vol. 272, pp. 108287-108287
Closed Access | Times Cited: 48
Agronomic analysis of nitrogen performance indicators in intensive arable cropping systems: An appraisal of big data from commercial farms
‪João Vasco Silva, M.K. van Ittersum, H.F.M. ten Berge, et al.
Field Crops Research (2021) Vol. 269, pp. 108176-108176
Open Access | Times Cited: 43
Mixing process-based and data-driven approaches in yield prediction
Bernardo Maestrini, Gordan Mimić, P.A.J. van Oort, et al.
European Journal of Agronomy (2022) Vol. 139, pp. 126569-126569
Open Access | Times Cited: 37
Interpretable machine learning methods to explain on-farm yield variability of high productivity wheat in Northwest India
Hari Sankar Nayak, ‪João Vasco Silva, C.M. Parihar, et al.
Field Crops Research (2022) Vol. 287, pp. 108640-108640
Open Access | Times Cited: 34
Expanding the WOFOST crop model to explore options for sustainable nitrogen management: A study for winter wheat in the Netherlands
Herman N.C. Berghuijs, ‪João Vasco Silva, Pytrik Reidsma, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127099-127099
Open Access | Times Cited: 7
Rice yield gaps and nitrogen-use efficiency in the Northwestern Indo-Gangetic Plains of India: Evidence based insights from heterogeneous farmers’ practices
Hari Sankar Nayak, ‪João Vasco Silva, C.M. Parihar, et al.
Field Crops Research (2021) Vol. 275, pp. 108328-108328
Open Access | Times Cited: 33
Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
‪João Vasco Silva, Joost van Heerwaarden, Pytrik Reidsma, et al.
Field Crops Research (2023) Vol. 302, pp. 109063-109063
Open Access | Times Cited: 14
Evaluating machine learning models and identifying key factors influencing spatial maize yield predictions in data intensive farm management
S. Maseko, Michael van der Laan, Eyob Habte Tesfamariam, et al.
European Journal of Agronomy (2024) Vol. 157, pp. 127193-127193
Open Access | Times Cited: 5
Assessing multifunctionality of agricultural soils: Reducing the biodiversity trade‐off
Carmen Vázquez, R.G.M. de Goede, Michiel Rutgers, et al.
European Journal of Soil Science (2020) Vol. 72, Iss. 4, pp. 1624-1639
Open Access | Times Cited: 31
Spatial and temporal optimization of potato planting based on on-farm collected data and field experiments
Puck J.A.M. Mulders, M.J.T.C. van Zutphen, Arie Pieter Paulus Ravensbergen, et al.
Agricultural Systems (2025) Vol. 225, pp. 104271-104271
Open Access
Estimating Maize Yield in the Black Soil Region of Northeast China Using Land Surface Data Assimilation: Integrating a Crop Model and Remote Sensing
Ying Cui, Suhong Liu, Xingang Li, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 15
Current Phosphorus and Potassium Fertiliser Application Rates Do Not Limit Tuber Yield and Quality in Potato Production Systems in the Netherlands
Arie Pieter Paulus Ravensbergen, M.K. van Ittersum, C. Kempenaar, et al.
Potato Research (2023) Vol. 66, Iss. 4, pp. 1033-1058
Open Access | Times Cited: 8
Data science at farm level: Explaining and predicting within-farm variability in potato growth and yield
Puck J.A.M. Mulders, Edwin R. van den Heuvel, J. Borne, et al.
European Journal of Agronomy (2020) Vol. 123, pp. 126220-126220
Closed Access | Times Cited: 20
Using the SCOPE model for potato growth, productivity and yield monitoring under different levels of nitrogen fertilization
Egor Prikaziuk, Georgios Ntakos, Tamara ten Den, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 102997-102997
Open Access | Times Cited: 12
Field monitoring reveals scope to reduce environmental impact of ware potato cultivation in the Netherlands without compromising yield
Arie Pieter Paulus Ravensbergen, M.K. van Ittersum, Renske Hijbeek, et al.
Agricultural Systems (2024) Vol. 220, pp. 104091-104091
Open Access | Times Cited: 2
Simulating water-limited potato yields across the Netherlands with (SWAP-)WOFOST: Experimentation, model improvement and evaluation
Tamara ten Den, Arie Pieter Paulus Ravensbergen, Inge van de Wiel, et al.
Agricultural Water Management (2024) Vol. 302, pp. 109011-109011
Open Access | Times Cited: 2
Effects of Planting Date and Field Type outweighed the Effect of Seed Origin on Ware Potato Yield
Arie Pieter Paulus Ravensbergen, Chunmei Zou, P.C. Struik, et al.
Potato Research (2024)
Open Access | Times Cited: 2
Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands
Herman N.C. Berghuijs, J.V. Silva, H.C.A. Rijk, et al.
Field Crops Research (2023) Vol. 296, pp. 108891-108891
Open Access | Times Cited: 5
Yield variability across spatial scales in high input farming: Data and farmers’ perceptions for potato crops in the Netherlands
Arie Pieter Paulus Ravensbergen, M.K. van Ittersum, ‪João Vasco Silva, et al.
European Journal of Agronomy (2023) Vol. 150, pp. 126925-126925
Open Access | Times Cited: 5
Potential of the hazelnut tree search–ELM hybrid approach in estimating yield and water productivity
Hossein Dehghanisanij, Somayeh Emami, Vahid Rezaverdinejad, et al.
Applied Water Science (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 3
Temporal and inter-farm variability of economic and environmental farm performance: A resilience perspective on potato producing regions in the Netherlands
Wim Paas, M.P.M. Meuwissen, M.K. van Ittersum, et al.
PLOS Sustainability and Transformation (2023) Vol. 2, Iss. 2, pp. e0000046-e0000046
Open Access | Times Cited: 3
Simulating water lateral inflow and its contribution to spatial variations of rainfed wheat yields
Tomás R. Tenreiro, Jakub Jeřábek, José A. Gómez, et al.
European Journal of Agronomy (2022) Vol. 137, pp. 126515-126515
Open Access | Times Cited: 5
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