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Dataset . 2025
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Becoming an Economist: A Database of French Economics PhDs

Authors: Delcey, Thomas; Goutsmedt, Aurélien;

Becoming an Economist: A Database of French Economics PhDs

Abstract

This database compiles information on Ph.D. dissertations in economics defended in France since 1900. See our companion website for news and full documentation. The French database is implemented as a relational database that integrates multiple interconnected data frames. It is organized around four main components: Thesis Metadata: This table contains the core information for each dissertation. Each entry corresponds to a single thesis and includes details such as the title, defense date, abstract, and other relevant metadata. Edges Data: This table captures the connections between the other three tables, linking individuals, institutions, and theses. It associates each thesis with the individuals and institutions involved in its production, thereby enabling a synthetized view of these relationships. The edges data are provided in two formats: (1) a ready-to-use format with cleaned and standardized information; and (2) a more extensive format that allows for comparison between the original collected data and the results of the cleaning process. Institutions Data: This table includes information on universities, laboratories, doctoral schools, and other institutions associated with the dissertations. Each entry corresponds to a single institution. Individual Data: This table contains information on the individuals involved in the dissertations, including authors, supervisors, and jury members. Each entry corresponds to a single individual. The data used in this project comes from three mains sources: Theses.fr: https://theses.fr/ Sudoc: https://www.sudoc.fr/ IdRef: https://www.idref.fr/] If you use our data or scripts, please cite the following reference: “Delcey Thomas, and Aurélien Goutsmedt. (2024). Becoming an Economist: A Database of French Economics PhDs. Zenodo. https://doi.org/10.5281/zenodo.14541427”

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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