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Find control groups for academics in Scopus

Project description


Match authors automatically in Scopus on-line




Install stable version from PyPI:

pip install sosia

or development version from GitHub repository:

pip install git+


sosia performs a series of queries in the Scopus database using the pybliometrics package. After configuring your local pybliometrics (providing access credentials and eventually setting cache directories), you can use sosia:

>>> import sosia
>>> sosia.get_field_source_information()  # Necessary only once
>>> sosia.make_database()  # Necessary only once
>>> stefano = sosia.Original(55208373700, 2019)  # Scopus ID and year
>>> stefano.define_search_sources()  # Sources similiar to scientist
>>> stefano.define_search_group()  # Authors publishing in similar sources
>>> stefano.find_matches()  # Find matches satisfying all criteria
>>> print(stefano.matches)
>>> [55320703900, 55817553500, 56113324000, 56276429200]
>>> stefano.inform_matches()  # Optional step to provide additional information
>>> print(stefano.matches[0])
Match(ID=55320703900, name='Arts, Sam', first_name='Sam', surname='Arts',
      first_year=2012, num_coauthors=9, num_publications=8, num_citations=74,
      num_coauthors_period=None, num_publications_period=None, num_citations_period=None, subjects=['BUSI', 'ECON', 'DECI'],
      affiliation_country='Belgium', affiliation_id='60025063',
      affiliation_name='KU Leuven', affiliation_type='univ',
      language='eng', num_cited_refs=28)

Change log

Please see CHANGES.rst.


Please see CONTRIBUTING.rst. For the list of contributors see AUTHORS.rst.


MIT License; see LICENSE.

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