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.
Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models
2011382 citationsTaru Palosuo, Kurt Christian Kersebaum et al.European Journal of Agronomyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Carlos Angulo'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 Carlos Angulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Angulo more than expected).
This network shows the impact of papers produced by Carlos Angulo. 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 Carlos Angulo. The network helps show where Carlos Angulo may publish in the future.
Co-authorship network of co-authors of Carlos Angulo
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Angulo.
A scholar is included among the top collaborators of Carlos Angulo 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 Carlos Angulo. Carlos Angulo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rötter, Reimund P., Frank Ewert, Taru Palosuo, et al.. (2013). Challenges for agro-ecosystem modelling in climate change risk assessment for major European crops and farming systems. Socio-Environmental Systems Modeling.10 indexed citations
Angulo, Carlos, M. Becker, & Reiner Waßmann. (2012). Yield gap analysis and assessment of climate-induced yield trends of irrigated rice in selected provinces of the Philippines. SHILAP Revista de lepidopterología.14 indexed citations
10.
Wolf, Julie, Pytrik Reidsma, B.F. Schaap, et al.. (2012). Assessing the adaptive capacity of agriculture in the Netherlands to the impacts of climate change under different market and policy scenarios (AgriAdapt project). Socio-Environmental Systems Modeling.6 indexed citations
11.
Palosuo, Taru, Kurt Christian Kersebaum, Carlos Angulo, et al.. (2011). Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models. European Journal of Agronomy. 35(3). 103–114.382 indexed citations breakdown →
12.
Palosuo, Taru, Carlos Angulo, Petr Hlavinka, et al.. (2011). Simulation of winter wheat yield and its variability in different climates of Europe.1 indexed citations
13.
Ewert, Frank, Carlos Angulo, Christian Rumbaur, et al.. (2011). Scenario development and assessment of the potential impacts of climate and market changes on crops in Europe : Assessing the adaptive capacity of agriculture in the Netherlands to the impacts of climate change under different market and policy scenarios (AgriAdapt project). Socio-Environmental Systems Modeling.5 indexed citations
14.
Angulo, Carlos, Frank Ewert, Christian Rumbaur, et al.. (2010). Modelling impacts of climate change and technology developments on crops in Europe. Socio-Environmental Systems Modeling. 35–36.1 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.