B
Bulat Sanditov
Researcher at Maastricht University
Publications - 39
Citations - 821
Bulat Sanditov is an academic researcher from Maastricht University. The author has contributed to research in topics: Loan & Social network. The author has an hindex of 13, co-authored 39 publications receiving 784 citations. Previous affiliations of Bulat Sanditov include École Normale Supérieure & Institut Mines-Télécom.
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Academic patenting in Europe: new evidence from the KEINS database
TL;DR: In this paper, the authors provided summary statistics from the KEINS database on academic patenting in France, Italy, and Sweden, showing that academic scientists in those countries have signed many more patents than previously estimated.
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The Keins Database on Academic Inventors: Methodology and Contents
TL;DR: The methodogy used to build a database on academic inventors from France, Italy, and Sweden (1978-2004) is described, which was delivered to the European Commission as part of the KEINS project and will provide the basis for future publications.
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Cultures of caste and rural development in the social network of a south indian village
Saurabh Arora,Bulat Sanditov +1 more
TL;DR: In this article, the authors study how these entangled cultures of caste and development translate into social network structures using data on friendship ties from a south Indian village. And they find that although caste continues to be important in shaping community structures and leadership in the village's network, its influence varies across different communities.
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Bank Lending Networks, Experience, Reputation, and Borrowing Costs: Empirical Evidence from the French Syndicated Lending Market
TL;DR: In this paper, the authors investigate the network structure of bank lending markets and evaluate the impact of lenders' network centrality, considered a measure of their experience and reputation, on borrowing costs.
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Bank lending networks, experience, reputation, and borrowing costs : empirical evidence from the french syndicated lending market
TL;DR: In this paper, the authors investigate the network structure of bank lending markets and evaluate the impact of lenders' network centrality, considered a measure of their experience and reputation, on borrowing costs.