The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
OpenCitations, an infrastructure organization for open scholarship
Open accessAbstract
OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.
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Citations
Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Shotton, D. (2013) · Nature · doi:10.1038/502295a · Cited by 65 · cited 2×
“Further explanations of the Semantic Web and its applications to bibliographic information are provided in a series of short didactic posts entitled “ Libraries and linked data, ” found on our Semantic Publishing blog (Shotton, 2013a).”
BackgroundMethodSelf-citation
Flagged first, then by citations
Research works printed but not linked: 23
- Bizer C., 2009, International Journal on Semantic Web and Information Systems, 5, 1, 10.4018/jswis.2009081901 · DOI
- COAR WG Next Generation Repositories, 2017, Behaviours and technical recommendations of the COAR Next Generation Repositories working group
- Corbatto M., 2018, Semantics, Analytics, Visualization, 78, 10.1007/978-3-030-01379-0_6 · DOI
- Cyganiak R., 2014, RDF 1.1 concepts and abstract syntax
- Di Iorio A., 2019, Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019)
- Ferguson C., 2018, Survey of current PID services landscape (deliverable No. D3.1)
- Harris S., 2013, SPARQL 1.1 query language
- Heibi I., 2019, Scientometrics, 121, 1213, 10.1007/s11192-019-03217-6 · DOI
- Heibi I., 2019, Proceedings of the 17th International Conference on Scientometrics and Informetrics (ISSI 2019)
- Heibi I., 2019, Data Science, 2, 205, 10.3233/DS-190016 · DOI
- Hosseini A., 2019, Presented at the 19th ACM/IEEE on Joint Conference on Digital Libraries
- Hutchins B. I., 2019, PLOS Biology, 17, e3000385, 10.1371/journal.pbio.3000385 · DOI
- Kamińska A. M., 2017, Zenodo
- Lauscher A., 2018, Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries—JCDL 2018, 109
- Lebo T., 2013, PROV-O: The PROV ontology. W3C recommendation. World Wide Web Consortium
- Moreau L., 2013, PROV-DM: The PROV data model. W3C recommendation. World Wide Web Consortium
- Peroni S., 2018, The Semantic Web—ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, US, October 8–12, 2018, Proceedings, Part II, 119, 10.1007/978-3-030-00668-6_8 · DOI
- Peroni S., 2016, Detection, Representation and Management of Concept Drift in Linked Open Data, 1799, 26
- Peroni S., 2017, The Semantic Web—ISWC 2017, 184, 10.1007/978-3-319-68204-4_19 · DOI
- Shotton D., 2013, Linked data 101
- Shotton D., 2018, Citations as first-class data entities: Introduction
- Teufel S., 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP ’06), 103, 10.3115/1610075.1610091 · DOI · Paper page
- Zhu Y., 2020, Scientometrics, 122, 1097, 10.1007/s11192-019-03311-9 · DOI
Cited by
Sorted by citations
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021) · Scientometrics · doi:10.1007/s11192-020-03690-4 · Cited by 1,018
Visser, M., van Eck, N. J., & Waltman, L. (2021) · Quantitative Science Studies · doi:10.1162/qss_a_00112 · Cited by 865
Nicholson, J. M., Mordaunt, M., Lopez, P., Uppala, A., Rosati, D., Rodrigues, N. P., Grabitz, P., & Rife, S. C. (2021) · bioRxiv (published in Quantitative Science Studies) · doi:10.1101/2021.03.15.435418 · Cited by 202
“This trend is changing, however, with open access publications becoming the standard (Piwowar, Priem, & Orr, 2019) and organizations such as the Initiative for Open Citations (Initiative for Open Citations, 2017; Peroni & Shotton, 2020) helping to make citations open.”
BackgroundScholarly knowledge graphs through structuring scholarly communication: a review
Verma, S., Bhatia, R., Harit, S., & Batish, S. (2023) · Complex & Intelligent Systems · doi:10.1007/s40747-022-00806-6 · Cited by 78
Metadata
- Authors
- Peroni, S., & Shotton, D.
- Affiliations
- University of Bologna (IT)
- University of Oxford (GB)
- Corresponding author
- Peroni, Silvio
- Venue
- Quantitative Science Studies
- Publisher
- MIT Press
- Published
- 2020-02
- Volume
- 1
- Issue
- 1
- Pages
- 428-444
- ISSN
- 2641-3337 (ISSN-L)
- OpenAlex
- W3002169893
- Cited by
- 154
- References
- 3
- Citations by year
- 2026: 15 · 2025: 16 · 2024: 17 · 2023: 24 · 2022: 25 · 2021: 39 · 2020: 18
- FWCI
- 16.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Quantitative Science Studies (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University) (cc-by)
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Library Science and Information Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- OpenCitations, Linked Open Data, semantic web, citation indexes, bibliometric analysis, RDF triple store, Open Citation Identifier, OpenCitation Corpus, COCI, open scholarship, reproducibility
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