Fabio La Rosa

626 citations
21 papers · 398 indexed · h-index 9

Fabio La Rosa

19 papers receiving 377 citations

Peers

Fabio La Rosa
Comparison fields: 5 of 42
  • Strategy and Management 258
  • Accounting 186
  • Marketing 122
  • Finance 70
  • Economics and Econometrics 81
Replace Li-Hsun Wang with:
Li-Hsun Wang Taiwan
Nico Lehmann Germany
Arash Arianpoor Iran
Eugenio D’Angelo Italy
Avishek Bhandari United States
Pablo Esteban Sánchez Spain
Henning Zülch Germany
Barbara Sveva Magnanelli Italy
Mohamed Chakib Kolsi United Arab Emirates
Aslı Aybars Türkiye
Fabio La Rosa relative to Li-Hsun Wang Taiwan Li-Hsun Wang's profile →
Citations per field
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Li-Hsun Wang · 1×
Citations per year

Countries citing papers authored by Fabio La Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Fabio La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio La Rosa. 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 Fabio La Rosa. The network helps show where Fabio La Rosa may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Fabio La Rosa, 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 Fabio La Rosa Line = papers co-authored together Fabio La Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 202340
4 202328
5 20233
6 202245
7 202114
8 20216
9 20211
10 20209
11 20202
12 201818
13 201823
14 20183
15 20178
16
Il gioco d'azzardo in Italia : contributi per un approccio interdisciplinare
20160
17
From the income statement model to the balance sheet model: an empirical analysis on the impact on SMEs’ earnings quality
20160
18 20152
19 201420
20
O FEEDBACK ASSERTIVO COMO FATOR MOTIVACIONAL
20121

About Fabio La Rosa

Fabio La Rosa is a scholar working on Accounting, Strategy and Management and Information Systems and Management, having authored 21 papers that have together received 398 indexed citations. Recurring topics across this work include Corporate Finance and Governance (10 papers), Corporate Social Responsibility Reporting (7 papers), Crime, Illicit Activities, and Governance (4 papers), Auditing, Earnings Management, Governance (4 papers), Financial Reporting and Valuation Research (3 papers), Environmental Sustainability in Business (3 papers), Ethics in Business and Education (2 papers) and Corruption and Economic Development (2 papers). The work is most often cited by research in Strategy and Management (258 citations), Accounting (186 citations) and Marketing (122 citations). Fabio La Rosa has collaborated with scholars based in Italy. Frequent co-authors include Francesca Bernini, Giovanni Liberatore, Simone Terzani, Francesco Mazzi, Marco Giuliani and Roberto Verona. Their work appears in journals such as Journal of Business Ethics, International Journal of Contemporary Hospitality Management and European Management Journal.

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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