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.
Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia
2010546 citationsIlaria Berteletti, Daniela Lucangeli et al.Cognitionprofile →
Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud.
2007538 citationsConrad Perry, Johannes C. Ziegler et al.profile →
Neglect disrupts the mental number line
2002526 citationsMarco Zorzi, Konstantinos Priftis et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Marco Zorzi'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 Marco Zorzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Zorzi more than expected).
This network shows the impact of papers produced by Marco Zorzi. 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 Marco Zorzi. The network helps show where Marco Zorzi may publish in the future.
Co-authorship network of co-authors of Marco Zorzi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Zorzi.
A scholar is included among the top collaborators of Marco Zorzi 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 Marco Zorzi. Marco Zorzi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sella, Francesco, et al.. (2013). Number Line Estimation in Children with Developmental Dyscalculia.. 11(2). 41–49.11 indexed citations
11.
Grazia, Michele De Filippo De, Ivilin Peev Stoianov, & Marco Zorzi. (2012). Parallelization of deep networks. Research Padua Archive (University of Padua). 621–626.8 indexed citations
12.
Testolin, Alberto, Alessandro Sperduti, Ivilin Peev Stoianov, & Marco Zorzi. (2012). Assessment of Sequential Boltzmann Machines on a Lexical Processing Task. The European Symposium on Artificial Neural Networks. 275–280.2 indexed citations
13.
Umiltà, Carlo, Konstantinos Priftis, & Marco Zorzi. (2011). Visuospatial representation of number magnitude. ANU Open Research (Australian National University). 337–348.2 indexed citations
Bono, Maria Grazia Di & Marco Zorzi. (2008). Decoding Cognitive States from fMRI Data Using Support Vector Regression.. Research Padua Archive (University of Padua). 6(2). 189–201.13 indexed citations
Basso, Demis, Patrizia Bisiacchi, Simone Cutini, Andrea Di Ferdinando, & Marco Zorzi. (2005). A Computational Model of Human Planning in the Traveling Salesman Problem. eScholarship (California Digital Library). 27(27). 176–181.1 indexed citations
18.
Stoianov, Ivilin Peev, Carlo Umiltà, & Marco Zorzi. (2005). Computational Investigations of the Simon and the SNARC Effects. eScholarship (California Digital Library). 27(27).3 indexed citations
19.
Zorzi, Marco, Konstantinos Priftis, & Carlo Umiltà. (2002). Neglect disrupts the mental number line. Nature. 417(6885). 138–139.526 indexed citations breakdown →
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.