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inspire_hep — INSPIRE-HEP high-energy physics literature: citations and authorships

Description

Citations and authorships of the literature of high-energy physics (particle physics, and related fields of astrophysics, nuclear physics, gravitation and mathematical physics) from INSPIRE-HEP, the information system of the field, run by CERN, DESY, Fermilab, IHEP, IN2P3 and SLAC (the successor of SPIRES, started in 1974). INSPIRE covers about 1.9 million articles, preprints, conference papers, theses and books, whose references are matched to the INSPIRE records, and whose authors are disambiguated (partly by the authors themselves through their INSPIRE profiles).

The records are harvested from the INSPIRE REST API (by ranges of record numbers), so that the networks are of the date of the harvest; the API gives no versioned bulk dump.

  • citations: the citation network: a directed edge goes from a record to each record of INSPIRE that it cites (references not matched to an INSPIRE record are left out).
  • authorships: the undirected bipartite network of the records and their authors, where an edge links a record to each of its authors. Authors are identified by their INSPIRE author profile when the record links to one, and otherwise by their name as given (so that different persons with the same name are merged, and an author with several spellings is split).

The abstracts, keywords, e-mail addresses (whose download is not permitted by the terms of use of INSPIRE) and other metadata are left out.

The networks have the following properties:

  • (Node) is_author (authorships): whether the node is an author (otherwise it is a record).
  • (Node) name: the record number (control number) of the literature record (its page is https://inspirehep.net/literature/<name>), or of the author profile (https://inspirehep.net/authors/<name>), or, for authors without a profile, empty.
  • (Node) title (records): the title of the record.
  • (Node) date (records): the earliest date of the record, as given, e.g. 1998-10-18 or 2020.
  • (Node) document_type (records): the type of document (e.g. article, conference paper, thesis; several separated by |).
  • (Node) arxiv_eprint (records): the arXiv identifier.
  • (Node) arxiv_categories (records): the arXiv categories, separated by |.
  • (Node) doi (records): the DOI of the record.
  • (Node) collaborations (records): the collaborations (e.g. ATLAS), separated by |.
  • (Node) citation_count (records): the number of citations according to INSPIRE.
  • (Node) full_name (authors, in authorships): the name of the author, as given in the first record of the author.
  • (Edge) affiliations (authorships): the affiliations of the author given in the record, separated by |.
Tags
Informational Citation Collaboration Bipartite Unweighted Metadata
Added
2026-10-31
Citation
Upstream URL OK
https://inspirehep.net/
https://github.com/inspirehep/rest-api-doc
Upstream license
CC0 (INSPIRE terms of use), https://help.inspirehep.net/knowledge-base/terms-of-use/
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
citations 1,897,471 45,971,769 24.23 135.43 381.21 133.28 -0.04 0.04 22 0.84 Directed Unipartite name title date document_type arxiv_eprint arxiv_categories doi collaborations citation_count 144.6 MiB 263.7 MiB 251.0 MiB 269.5 MiB
authorships 2,691,319 22,086,057 16.41 121.92 1689.64 893.40 0.41 0.00 29 0.96 Undirected Bipartite name title date document_type arxiv_eprint arxiv_categories doi collaborations citation_count is_author full_name affiliations 90.2 MiB 188.1 MiB 187.9 MiB 244.4 MiB