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.
CropSyst, a cropping systems simulation model
2002999 citationsMarcello Donatelli et al.European Journal of Agronomyprofile →
Modelling the impacts of pests and diseases on agricultural systems
2017259 citationsMarcello Donatelli, Roger D. Magarey et al.Agricultural Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Marcello Donatelli
Since
Specialization
Citations
This map shows the geographic impact of Marcello Donatelli'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 Marcello Donatelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Donatelli more than expected).
Fields of papers citing papers by Marcello Donatelli
This network shows the impact of papers produced by Marcello Donatelli. 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 Marcello Donatelli. The network helps show where Marcello Donatelli may publish in the future.
Co-authorship network of co-authors of Marcello Donatelli
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Donatelli.
A scholar is included among the top collaborators of Marcello Donatelli 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 Marcello Donatelli. Marcello Donatelli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Donatelli, Marcello, Roger D. Magarey, Simone Bregaglio, et al.. (2017). Modelling the impacts of pests and diseases on agricultural systems. Agricultural Systems. 155. 213–224.259 indexed citations breakdown →
Bregaglio, Simone, Marcello Donatelli, Roberto Confalonieri, & Marco Acutis. (2012). Comparing Modelling Solutions At Submodel Level: A Case On Soil Temperature Simulation. ScholarsArchive (Brigham Young University). 1193–1199.5 indexed citations
9.
Donatelli, Marcello, et al.. (2012). A EU 27 database of daily weather data derived from climate change scenarios for use with crop simulation models. ScholarsArchive (Brigham Young University).7 indexed citations
Confalonieri, Roberto, et al.. (2012). An extensible, multi-model software library for simulating crop growth and development. ScholarsArchive (Brigham Young University). 884–892.4 indexed citations
Rizzoli, Andrea Emilio, et al.. (2004). SEAMFRAME: a proposal for an integrated modelling framework for agricultural systems. Socio-Environmental Systems Modeling. 331–332.3 indexed citations
18.
Donatelli, Marcello, et al.. (2002). Effects of climate change and elevated CO2 on sugar beet yield in northern and central Italy. IIASA PURE (International Institute of Applied Systems Analysis).7 indexed citations
19.
Donatelli, Marcello, et al.. (2002). Impacts of Climate Change and Elevated CO 2 on Sugar Beet Production in Northern and Central Italy.12 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.