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.
The Effect of Vegetation Density on Canopy Sub-Layer Turbulence
2004573 citationsDavide Poggi, Amilcare Porporato et al.Boundary-Layer Meteorologyprofile →
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 Davide Poggi'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 Poggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Poggi more than expected).
This network shows the impact of papers produced by Davide Poggi. 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 Poggi. The network helps show where Davide Poggi may publish in the future.
Co-authorship network of co-authors of Davide Poggi
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Poggi.
A scholar is included among the top collaborators of Davide Poggi 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 Poggi. Davide Poggi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Butera, Ilaria, et al.. (2018). Laboratory results on the effect of channel geometry on a Rotary Hydraulic Pressure Machine. EGU General Assembly Conference Abstracts. 20. 7705.2 indexed citations
5.
Bracco, Giovanni, et al.. (2015). Modeling and optimization of a Wave Energy Converter using ANSYS AQWA. PORTO Publications Open Repository TOrino (Politecnico di Torino).1 indexed citations
Bracco, Giovanni, Ermanno Giorcelli, Giuliana Mattiazzo, Davide Poggi, & Jamie Taylor. (2010). ISWEC: experimental tests on a small scale prototype model. PORTO Publications Open Repository TOrino (Politecnico di Torino).5 indexed citations
Poggi, Davide, et al.. (2010). Hydropower potential from the drinking water systems of the Piemonte region (Italy). PORTO Publications Open Repository TOrino (Politecnico di Torino). 1.8 indexed citations
Claps, Pierluigi, et al.. (2008). PRODUZIONE DI ENERGIA IDROELETTRICA ECO-COMPATIBILE DA ACQUEDOTTI: ANALISI DI FATTIBILITA' ECONOMICA. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–8.1 indexed citations
13.
Katul, Gabriel G. & Davide Poggi. (2007). Micro- and Macro- Dispersive Fluxes in Canopy Flows. AGU Fall Meeting Abstracts. 2007.2 indexed citations
Williams, Claire G., et al.. (2006). Spatial modelling of transgenic conifer pollen. PORTO Publications Open Repository TOrino (Politecnico di Torino).4 indexed citations
Galgani, Mario, et al.. (2004). Role of A91V mutation in perforin gene in hemophagocytic lymphohistiocytosis. UCL Discovery (University College London).3 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.