Global estimates of visual impairment: 20102011 · 2.7k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by Donatella Pascolini
Since Specialization
Citations
This map shows the geographic impact of Donatella Pascolini'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 Donatella Pascolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donatella Pascolini more than expected).
Fields of papers citing papers by Donatella Pascolini
This network shows the impact of papers produced by Donatella Pascolini. 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 Donatella Pascolini. The network helps show where Donatella Pascolini may publish in the future.
Co-authors
The 10 scholars most cited alongside Donatella Pascolini, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Donatella PascoliniLine = papers co-authored togetherDonatella Pascolini links everyone, so they are left out of the graph.
All Works
5 of 5 papers shown
#
Work
1
Global data on visual impairment in the year 2002.
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.