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.
Spatio-temporal dynamics of a planktonic system and chlorophyll distribution in a 2D spatial domain: matching model and data
2017263 citationsDavide Valenti, Giovanni Denaro et al.Scientific Reportsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Davide Valenti
Since
Specialization
Citations
This map shows the geographic impact of Davide Valenti'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 Davide Valenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Valenti more than expected).
This network shows the impact of papers produced by Davide Valenti. 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 Davide Valenti. The network helps show where Davide Valenti may publish in the future.
Co-authorship network of co-authors of Davide Valenti
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Valenti.
A scholar is included among the top collaborators of Davide Valenti 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 Davide Valenti. Davide Valenti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Valenti, Davide, Giovanni Denaro, Rosalia Ferreri, et al.. (2017). Spatio-temporal dynamics of a planktonic system and chlorophyll distribution in a 2D spatial domain: matching model and data. Scientific Reports. 7(1). 220–220.263 indexed citations breakdown →
15.
Cognata, Angelo La, Bernardo Spagnolo, Giovanni Denaro, et al.. (2012). PICOPHYTOPLANKTON DYNAMICS IN NOISY MARINE ENVIRONMENT. Acta Physica Polonica B. 43. 1227–1240.25 indexed citations
16.
Spagnolo, Bernardo, Davide Valenti, Nicola Pizzolato, & Dominique Persano Adorno. (2010). Dose dependent survival response in chronic myeloid leukemia under continuous and pulsed targeted therapy. Acta Physica Polonica B. 41. 1161–1170.1 indexed citations
17.
Giuffrida, Alessandro, et al.. (2007). Application of an interspecific competition model to predict the growth of Aeromonas hydrophyla on fish surfaces during refrigerated storage (Anwendung eines Konkurrenzmodells zwischen zwei Spezies zur Vorhersage des Wachstums von Aeromonas hydrophila auf Fischoberflächen während der Kühlphase). Archiv für Lebensmittelhygiene. 58(4). 136–141.11 indexed citations
18.
Valenti, Davide, et al.. (2006). Moment equations in a Lotka-Volterra extended system with time correlated noise,. Acta Physica Polonica B. 38(5). 1961–1972.2 indexed citations
19.
Valenti, Davide, A. Fiasconaro, & Bernardo Spagnolo. (2004). Pattern Formation and Spatial Correlation Induced by the Noise in Two Competing Species. Acta Physica Polonica B. 35(4). 1481.58 indexed citations
20.
Fiasconaro, A., Davide Valenti, & Bernardo Spagnolo. (2004). Noise in ecosystems: A short review. Mathematical Biosciences & Engineering. 1(1). 185–211.130 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.