{
  "annotation_id": "00282e27-8650-4b53-9d52-26dfb15260b9",
  "date_created": "2026-03-02T18:01:10.611000Z",
  "date_modified": "2026-03-02T18:01:10.611000Z",
  "file_hash": "ce18e41b3ae9c530f2bf7483e2180491bd59349ec23f61afc725965640e12106",
  "private": false,
  "record": {
    "abstract": "Using data retrieved from the INSPEC database we have quantitatively\ndiscussed a few syndromes of the publish-or-perish phenomenon, including\ncontinuous growth of rate of scientific productivity, and continuously\ndecreasing percentage of those scientists who stay in science for a long time.\nMaking use of the maximum entropy principle and fluctuation-dissipation\ntheorem, we have shown that the observed fat-tailed distributions of the total\nnumber of papers x authored by scientists may result from the density of states\nfunction g(x;\\tau) underlying scientific community. Although different\ngenerations of scientists are characterized by different productivity patterns,\nthe function g(x;\\tau) is inherent to researchers of a given seniority \\tau,\nwhereas the publish-or-perish phenomenon is caused only by an external field\n\\theta influencing researchers.",
    "arxiv_id": "physics/0606190",
    "authors": [
      "Piotr Fronczak",
      "Agata Fronczak",
      "Janusz A. Holyst"
    ],
    "categories": [
      "physics.soc-ph",
      "physics.data-an"
    ],
    "doi": "10.1103/PhysRevE.75.026103",
    "journal_ref": "Phys. Rev. E 75, 026103 (2007)",
    "title": "Publish or perish: analysis of scientific productivity using maximum   entropy principle and fluctuation-dissipation theorem",
    "url": "https://arxiv.org/abs/physics/0606190"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a7006c52-cbc6-43f1-9745-ae3044ee0cca",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}