Pôle Léonard de Vinci

17.3k citations
1.2k papers ·

Impact in

Papers in

    • Stochastic processes and financial applications 58
    • Financial Markets and Investment Strategies 50
    • Financial Risk and Volatility Modeling 42
    • Environmental Sustainability in Business 55

Pôle Léonard de Vinci

1.0k papers receiving 16.1k citations

Peers

Pôle Léonard de Vinci
Comparison fields: 5 of 230
  • Business and International Management 544
  • Marketing 2.3k
  • Strategy and Management 3.8k
  • Management of Technology and Innovation 1.5k
  • Management Information Systems 1.3k
Replace Business France with:
Business France France
Lille Économie Management France
France Business School France
School of Business and Management France
ESSCA School of Management France
EM Normandie Business School France
Regent's University London United Kingdom
Centre Européen de Recherche en Economie Financière et Gestion des Entreprises France
Antwerp Management School Belgium
Institut Superieur de Gestion France
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Citations per field
00.5×1.6×
Business France · 1×
Citations per year

Countries citing scholars working at Pôle Léonard de Vinci

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Pôle Léonard de Vinci. 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 papers produced at Pôle Léonard de Vinci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pôle Léonard de Vinci more than expected).

Fields of papers published by authors at Pôle Léonard de Vinci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Pôle Léonard de Vinci at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Pôle Léonard de Vinci at the time of their publication.

About Pôle Léonard de Vinci

In recent decades, authors affiliated with Pôle Léonard de Vinci have published 1.2k papers, which have received a total of 17.3k indexed citations . Scholars at this organization have produced 130 papers in Finance, 113 papers in Marketing, 183 papers in Strategy and Management, 115 papers in Accounting and 102 papers in Organizational Behavior and Human Resource Management on the topics of Corporate Finance and Governance (77 papers), Digital Marketing and Social Media (62 papers), Stochastic processes and financial applications (58 papers), Corporate Social Responsibility Reporting (56 papers), Environmental Sustainability in Business (55 papers), Financial Markets and Investment Strategies (50 papers), Innovation and Knowledge Management (44 papers) and Financial Risk and Volatility Modeling (42 papers). Their work is cited by papers focused on Business and International Management (544 citations), Marketing (2.3k citations), Strategy and Management (3.8k citations), Management of Technology and Innovation (1.5k citations) and Management Information Systems (1.3k citations). Authors at Pôle Léonard de Vinci collaborate with scholars in France, Italy and United Kingdom and have published in prestigious journals including Technological Forecasting and Social Change, Journal of Business Research, Business Strategy and the Environment, Industrial Marketing Management and Annals of Operations Research. Some of Pôle Léonard de Vinci's most productive authors include Veronica Scuotto, Sylvie Lacoste, Manlio Del Giudice, Francesco Paolo Appio, Martino Grasselli, Marcos Lima, Sotirios Paroutis, Patricia Baudier, Jonathan Peillex and Faten Lakhal.

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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