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.
Normalisation process theory: a framework for developing, evaluating and implementing complex interventions
2010859 citationsElizabeth Murray, Shaun Treweek et al.BMC Medicineprofile →
Development of a theory of implementation and integration: Normalization Process Theory
2009808 citationsCarl May, Frances S Mair et al.Implementation Scienceprofile →
Understanding the implementation of complex interventions in health care: the normalization process model
2007451 citationsCarl May, Tracy Finch et al.BMC Health Services Researchprofile →
A qualitative systematic review of studies using the normalization process theory to research implementation processes
2014277 citationsRachel McEvoy, Luciana Ballini et al.Implementation Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Luciana Ballini
Since
Specialization
Citations
This map shows the geographic impact of Luciana Ballini'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 Luciana Ballini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luciana Ballini more than expected).
This network shows the impact of papers produced by Luciana Ballini. 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 Luciana Ballini. The network helps show where Luciana Ballini may publish in the future.
Co-authorship network of co-authors of Luciana Ballini
This figure shows the co-authorship network connecting the top 25 collaborators of Luciana Ballini.
A scholar is included among the top collaborators of Luciana Ballini 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 Luciana Ballini. Luciana Ballini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McEvoy, Rachel, Luciana Ballini, Susanna Maltoni, et al.. (2014). A qualitative systematic review of studies using the normalization process theory to research implementation processes. Implementation Science. 9(1). 2–2.277 indexed citations breakdown →
6.
Ballini, Luciana. (2012). L’iniziativa Choosing Wisely® rilancia la scelta ragionata di medici e pazienti. 13(4). 253–256.1 indexed citations
7.
Lenzi, Lorenzo, Susanna Maltoni, Alessandra Negro, et al.. (2012). HTA report: new devices for the management of glycaemia in young diabetics.1 indexed citations
May, Carl, Frances S Mair, Tracy Finch, et al.. (2009). Development of a theory of implementation and integration: Normalization Process Theory. Implementation Science. 4(1). 29–29.808 indexed citations breakdown →
12.
May, Carl, Tracy Finch, Frances S Mair, et al.. (2007). Understanding the implementation of complex interventions in health care: the normalization process model. BMC Health Services Research. 7(1). 148–148.451 indexed citations breakdown →
13.
Scaglione, Luca, et al.. (2005). Implementing guidelines for venous thromboembolism prophylaxis in a large Italian teaching hospital: lights and shadows.. PubMed. 90(5). 678–84.35 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.