{
  "annotation_id": "0fd583d3-289b-43af-a0f6-9842657af368",
  "date_created": "2026-03-02T18:00:42.155000Z",
  "date_modified": "2026-03-02T18:00:42.155000Z",
  "file_hash": "6629a9bde50904c7b7607516d6bb9bc442353a5dde48cd917a66ce00e5f5ab5d",
  "private": false,
  "record": {
    "abstract": "The citation network constituted by the SPIRES data base is investigated\nempirically. The probability that a given paper in the SPIRES data base has $k$\ncitations is well described by simple power laws, $P(k) \\propto k^{-\\alpha}$,\nwith $\\alpha \\approx 1.2$ for $k$ less than 50 citations and $\\alpha \\approx\n2.3$ for 50 or more citations. Two models are presented that both represent the\ndata well, one which generates power laws and one which generates a stretched\nexponential. It is not possible to discriminate between these models on the\npresent empirical basis. A consideration of citation distribution by subfield\nshows that the citation patterns of high energy physics form a remarkably\nhomogeneous network. Further, we utilize the knowledge of the citation\ndistributions to demonstrate the extreme improbability that the citation\nrecords of selected individuals and institutions have been obtained by a random\ndraw on the resulting distribution.",
    "arxiv_id": "physics/0211010",
    "authors": [
      "S. Lehmann",
      "B. Lautrup",
      "A. D. Jackson"
    ],
    "categories": [
      "physics.soc-ph",
      "hep-ph",
      "hep-th"
    ],
    "doi": "10.1103/PhysRevE.68.026113",
    "journal_ref": "Phys.Rev. E68 (2003) 026113",
    "title": "Citation Networks in High Energy Physics",
    "url": "https://arxiv.org/abs/physics/0211010"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5879843d-72f8-427b-8619-52578fbad2bc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}