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.
Countries citing papers authored by Matteo Mazziotta
Since
Specialization
Citations
This map shows the geographic impact of Matteo Mazziotta'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 Matteo Mazziotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Mazziotta more than expected).
Fields of papers citing papers by Matteo Mazziotta
This network shows the impact of papers produced by Matteo Mazziotta. 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 Matteo Mazziotta. The network helps show where Matteo Mazziotta may publish in the future.
Co-authorship network of co-authors of Matteo Mazziotta
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Mazziotta.
A scholar is included among the top collaborators of Matteo Mazziotta 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 Matteo Mazziotta. Matteo Mazziotta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mazziotta, Matteo, et al.. (2018). Composite indicators and spatial correlations of Italian municipalities' socio-economic measures. RePEc: Research Papers in Economics. 72(3). 65–76.1 indexed citations
11.
Mazziotta, Matteo, et al.. (2017). Well-being composite indicators for Italian municipalities: case study of Basilicata.1 indexed citations
Mazziotta, Matteo & Adriano Pareto. (2015). Comparing Two Non-Compensatory Composite Indices to Measure Changes over Time: a Case Study. SHILAP Revista de lepidopterología.13 indexed citations
Mazziotta, Matteo & Adriano Pareto. (2014). A COMPOSITE INDEX FOR MEASURING ITALIAN REGIONS' DEVELOPMENT OVER TIME 1. RePEc: Research Papers in Economics. 68. 127–134.8 indexed citations
16.
Lucarelli, C., et al.. (2014). Composite Index for Measuring Italian Regions’ Environmental Quality Over Time.1 indexed citations
17.
Mazziotta, Matteo & Adriano Pareto. (2011). Un indice sintetico non compensativo per la misura della dotazione infrastrutturale: un’applicazione in ambito sanitario. RePEc: Research Papers in Economics. 13(1). 63–79.12 indexed citations
Muro, Pasquale De, Matteo Mazziotta, & Adriano Pareto. (2010). Composite indices for multidimensional development and poverty: an Application to MDG Indicators. Iris (Roma Tre University). 435–448.12 indexed citations
20.
Mazziotta, Matteo, et al.. (2008). La costruzione di un indicatore sintetico di dotazione infrastrutturale: metodi e applicazioni a confronto. Iris (Roma Tre University).4 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.