Skip to main content

No project description provided

Project description

Rich BibText

Bibtext reader compatible with Scopus (by Elsevier) bib export.

Usage

    from richbibtext import RichBibtextReader
    from pprint import pprint
    
    texts = RichBibtextReader(r"C:\Users\mrebu\Downloads\scopus (48).bib")
    
    pprint(texts[0])

Fields

Example for Ottaviani, F.M., Rebuglio, M., & De Marco, A. (July 2023). "Project Management Information System Data Model Development and Explanation." In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, held in Rome, Italy, Volume 1. DOI: 10.5220/0012052200003546. Presented at Project Management Lab (PM Lab).

Field Description Example
ENTRYTYPE Type of publication [conference, article, book] conference
ID Unique Scopus identifier of the publication Ottaviani2023210
author Ottaviani, Filippo Maria and Rebuglio, Massimo and De Marco, Alberto
title Paper title Project Management Information System Data Model Development and Explanation
year 2023
journal Journal title Proceedings of the International Conference on Simulation and Modeling Methodologies, Technologies and Applications
volume Volume of the journal 1
number Number within the journal's volume
doi 10.5220/0012052200003546
url Scopus URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178591230&doi=10.5220%2f0012052200003546&partnerID=40&md5=8c0b44bebf939c92bad453e964c3d830
affiliations Authors' affiliation at the time of publication Department of Management and Production Engineering, Politecnico di Torino, Turin, 10129, Italy
abstract The Project Management (PM) discipline is evolving towards the adoption of digital technologies […]
author_keywords Keywords provided by the authors Data Model; Information System; Project Management
keywords General keywords related to the publication
correspondence_address Correspondence address of the main author massimo.rebuglio@polito.it
publisher Science and Technology Publications, Lda
issn 21842841
coden
language English
abbrev_source_title Abbreviated title of the journal Proc. Int. Conf. Simul. Model. Methodol. Technol. Appl.
type Type of document [Book, Conference paper, Book chapter, Article] Conference paper
publication_stage Stage of publication [Final] Final
source Scopus
pages 210 – 217
isbn 978-989758668-2
editor Wagner G. and Werner F. and De Rango F.
pmid PubMed ID of the publication
note Additional Scopus notes in textual format. The library divides them into the following fields.
Cited by Number of citations 1
Conference name 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2023
Conference date 12 July 2023 through 14 July 2023
Conference code 304309

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

richbibtext-0.1.4.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

richbibtext-0.1.4-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file richbibtext-0.1.4.tar.gz.

File metadata

  • Download URL: richbibtext-0.1.4.tar.gz
  • Upload date:
  • Size: 2.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.8 Windows/10

File hashes

Hashes for richbibtext-0.1.4.tar.gz
Algorithm Hash digest
SHA256 7c7db0e9cbf5a21650f54276d0ac2b69cf27c27839ce60d04ac6c28d14e43b25
MD5 484594dc6f39b33764467502400184d0
BLAKE2b-256 46b614f33e64497cdd6b4539b97ee7ae03d1257f3f7ff9a1a53bc6b924b2cf5d

See more details on using hashes here.

File details

Details for the file richbibtext-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: richbibtext-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.8 Windows/10

File hashes

Hashes for richbibtext-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 31d283871e49878adae895e847ec5c383bb0e51110e84a636ac0d6aa87420ef6
MD5 0e210e470a500df75ea9a7f9ea9c6dd2
BLAKE2b-256 1161e891533481df14b5c27ce556560941dc326385f08b61a494a1617164e2f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page