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.
Innovation and productivity in SMEs: empirical evidence for Italy
2009664 citationsBronwyn H. Hall, Francesca Lotti et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francesca Lotti
Since
Specialization
Citations
This map shows the geographic impact of Francesca Lotti'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 Francesca Lotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Lotti more than expected).
This network shows the impact of papers produced by Francesca Lotti. 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 Francesca Lotti. The network helps show where Francesca Lotti may publish in the future.
Co-authorship network of co-authors of Francesca Lotti
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Lotti.
A scholar is included among the top collaborators of Francesca Lotti 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 Francesca Lotti. Francesca Lotti is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lotti, Francesca & Giovanni Marin. (2013). Matching of PATSTAT applications to AIDA firms: discussion of the methodology and results. RePEc: Research Papers in Economics.4 indexed citations
9.
Lotti, Francesca, et al.. (2013). Female entrepreneurship and government policy: evaluating the impact of subsidies on firms' survival. RePEc: Research Papers in Economics.1 indexed citations
Bugamelli, Matteo, Luigi Cannari, Francesca Lotti, & Silvia Magri. (2012). The innovation gap of Italy�s production system: roots and possible solutions. RePEc: Research Papers in Economics.3 indexed citations
Lotti, Francesca, Enrico Santarelli, & Marco Vivarelli. (2009). Defending Gibrat's Law as a Long-run Regularity. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).135 indexed citations
Dragoni, Walter, et al.. (2006). Outline of the hydrogeology of the Cimino and Vico volcanic area and of the interaction between ground water and Lake Vico (Lazio region, central Italy). Bollettino Della Societa Geologica Italiana. 125(2). 187–202.25 indexed citations
16.
Lotti, Francesca & Fabiano Schivardi. (2006). Cross Country Differences in Patent Propensity: a Firm Level Investigation. RePEc: Research Papers in Economics. 64(4). 469–502.13 indexed citations
Lotti, Francesca, Enrico Santarelli, & Marco Vivarelli. (2001). Is It Really Wise to Design Policies in Support of New Firm Formation. RePEc: Research Papers in Economics. 91(4). 151–170.6 indexed citations
20.
Lotti, Francesca & Enrico Santarelli. (2001). Is firm growth proportional? An appraisal of firm size distribution. Economics bulletin. 12(6). 1–7.7 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.