Citations per year, relative to N Gordini N Gordini (= 1×)
peers
Arun Upneja
Countries citing papers authored by N Gordini
Since
Specialization
Citations
This map shows the geographic impact of N Gordini'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 N Gordini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Gordini more than expected).
This network shows the impact of papers produced by N Gordini. 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 N Gordini. The network helps show where N Gordini may publish in the future.
Co-authorship network of co-authors of N Gordini
This figure shows the co-authorship network connecting the top 25 collaborators of N Gordini.
A scholar is included among the top collaborators of N Gordini 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 N Gordini. N Gordini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gordini, N & Valerio Veglio. (2014). Customer churn management and marketing retention strategies: an application of support vector machines based on AUC parameter-selection in the Italian electricity industry. ePrints Soton (University of Southampton).1 indexed citations
4.
Rancati, Elisa & N Gordini. (2014). CONTENT MARKETING METRICS: THEORETICAL ASPECTS AND EMPIRICAL EVIDENCE. European Scientific Journal ESJ. 10(34).41 indexed citations
5.
Rancati, Elisa & N Gordini. (2014). Content Marketing: Theoretical Aspects and Empirical Evidence. BOA (University of Milano-Bicocca). 10(34). 92–104.1 indexed citations
6.
Rancati, Elisa & N Gordini. (2014). Content Marketing e Creazione di Valore: Aspetti Definitori e Metriche di Misurazione. BOA (University of Milano-Bicocca).4 indexed citations
7.
Abatecola, Gianpaolo, et al.. (2013). Boards of Directors in Troubled Waters: Enhancing the survival chances of distressed firms. BOA (University of Milano-Bicocca). 73. 9–18.12 indexed citations
Ciampi, Francesco & N Gordini. (2013). The Potential of Corporate Governance Variables for Small Enterprise Default Prediction Modelling. Statistical Evidence from Italian Manufacturing. Firms. Preliminary Findings. BOA (University of Milano-Bicocca).2 indexed citations
10.
Ciampi, Francesco & N Gordini. (2013). The Potential of Corporate Governance Variables for Small Enterprise Default Prediction Modeling: Statistical Evidence from Italian Manufacturing Firms: Preliminary Findings. Florence Research (University of Florence).3 indexed citations
11.
Gordini, N. (2012). The Impact of Outsiders on Small Family Firm Performance: Evidence from Italy. BOA (University of Milano-Bicocca). 4(2). 14–35.11 indexed citations
12.
Ciampi, Francesco & N Gordini. (2012). Managerial Characteristics and Default Prediction Modeling for Small Firms: Evidence from Small Italian Firms - Preliminary Findings. Florence Research (University of Florence).1 indexed citations
Ciampi, Francesco & N Gordini. (2012). Managerial Characteristics and Default Prediction Modeling for Small Firms: Evidence from Small Italian Firms. BOA (University of Milano-Bicocca). 1–19.3 indexed citations
15.
Abatecola, Gianpaolo, et al.. (2011). Empirical Research on Corporate Distress: Assessing the Role of the Boards of Directors. BOA (University of Milano-Bicocca).2 indexed citations
16.
Ciampi, Francesco, et al.. (2009). Are Credit Scoring Models Able To Predict Small Enterprise Default? Statistical Evidence from Italian Small Enterprises. BOA (University of Milano-Bicocca). 8(1). 3–18.13 indexed citations
17.
Ciampi, Francesco, et al.. (2009). Using Artificial Neural Networks Analysis for Small Enterprise Default Prediction Modeling: Statistical Evidence from Italian Firms.10 indexed citations
18.
Ciampi, Francesco, et al.. (2009). Are Credit Scoring Models Able to Predict Small Enterprise Default? Statistical Evidence from Italian Small Enterprises.9 indexed citations
19.
Ciampi, Francesco, et al.. (2009). Can Credit Scoring Models Effectively Predict Small Enterprises Default? Statistical Evidence from Italian Firms. BOA (University of Milano-Bicocca). 27–46.1 indexed citations
20.
Ciampi, Francesco, et al.. (2009). Using Artificial Neural Networks Analysis for SmallEnterprises Default Prediction Modeling: Statistical Evidence from Italian Firms. BOA (University of Milano-Bicocca).3 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.