Matilde Bini

479 citations
23 papers · 333 · h-index 10

Impact in

Papers in

Matilde Bini

20 papers receiving 303 citations

Peers

Matilde Bini
Comparison fields: 5 of 98
  • Statistics and Probability 43
  • Organizational Behavior and Human Resource Management 43
  • Education 79
  • Statistics, Probability and Uncertainty 18
  • Tourism, Leisure and Hospitality Management 4
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W. Edwards Deming
Mauricio Romero United States
Mary G. McGarvey United States
Emmanuel Didier France
Lester R. Frankel United States
Ronald Osei Mensah Ghana
Patricia Gaynor United States
Thema Monroe‐White United States
Rebecca Thomas United States
Richardson United States
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Countries citing papers authored by Matilde Bini

Since Specialization
Citations

This map shows the geographic impact of Matilde Bini'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 Matilde Bini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matilde Bini more than expected).

Fields of papers citing papers by Matilde Bini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilde Bini. 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 Matilde Bini. The network helps show where Matilde Bini may publish in the future.

Co-authors

The 13 scholars most cited alongside Matilde Bini, 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 Matilde Bini Line = papers co-authored together Matilde Bini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200173
2 201854
3 200848
4 201529
5 199527
6 202018
7 200616
8 202413
9
200112
10 200111
11
La Valutazione del Sistema Universitario Italiano alla Luce della Riforma dei Cicli e degli Ordinamenti Didattici
20038
12 20164
13
Industry profiles and economic performances. A firm-data based study for Italian industries.
20114
14 20203
15 20093
16
Contextual factors of the external effectiveness of the university education: a multilevel approach
20102
17 20212
18 20192
19 20062
20 20241

About Matilde Bini

Matilde Bini is a scholar working on Economics and Econometrics, Statistics and Probability, Political Science and International Relations, Education and Management of Technology and Innovation, having authored 23 papers that have together received 333 indexed citations. Recurring topics across this work include Firm Innovation and Growth (6 papers), Higher Education Governance and Development (4 papers), Labor market dynamics and wage inequality (3 papers), Higher Education Research Studies (3 papers), Advanced Statistical Methods and Models (3 papers), Online and Blended Learning (2 papers), Entrepreneurship Studies and Influences (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (43 citations), Organizational Behavior and Human Resource Management (43 citations), Education (79 citations), Statistics, Probability and Uncertainty (18 citations) and Tourism, Leisure and Hospitality Management (4 citations). Matilde Bini has collaborated with scholars based in Italy and United States. Frequent co-authors include Lucio Masserini, Leonardo Grilli, Alan Agresti, Monica Pratesi, Bruno Bertaccini, Euijung Ryu, Atalanta Ghosh, D. Posa, Pasquale Sarnacchiaro and Silvia Bacci. Their work appears in journals such as Social Indicators Research, Tertiary Education and Management, Socio-Economic Planning Sciences, Biometrics and Journal of the Royal Statistical Society Series A (Statistics in Society).

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.

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