dorsal/arxiv
View SchemaPerformance-related differences of bibliometric statistical properties of research groups: cumulative advantages and hierarchically layered networks
| Authors | Anthony F. J. van Raan |
|---|---|
| Categories | |
| ArXiv ID | physics/0504050 |
| URL | https://arxiv.org/abs/physics/0504050 |
Abstract
In this paper we distinguish between top-performance and lower performance groups in the analysis of statistical properties of bibliometric characteristics of two large sets of research groups. We find intriguing differences between top-performance and lower performance groups, but also between the two sets of research groups. Particularly these latter differences are interesting, as they may indicate the influence of research management strategies. Lower performance groups have a larger scale-dependent cumulative advantage than top-performance groups. We also find that regardless of performance, larger groups have less not-cited publications. We introduce a simple model in which processes at the micro level lead to the observed phenomena at the macro level. Top-performance groups are, on average, more successful in the entire range of journal impact. We fit our findings into a concept of hierarchically layered networks. In this concept, the network of research groups constitutes a layer of one hierarchical step higher than the basic network of publications connected by citations. The cumulative size-advantage of citations received by a group looks like preferential attachment in the basic network in which highly connected nodes (publications) increase their connectivity faster than less connected nodes. But in our study it is size that causes an advantage. In general, the larger a group (node in the research group network), the more incoming links this group acquires in a non-linear, cumulative way. Moreover, top-performance groups are about an order of magnitude more efficient in creating linkages (i.e., receiving citations) than the lower performance groups.
{
"annotation_id": "46a97cc1-8392-4aa5-9d9b-e31e1e06345e",
"date_created": "2026-03-02T18:00:57Z",
"date_modified": "2026-03-02T18:00:57Z",
"file_hash": "294afba3d2f22412682e3c9cf2a90ef7591190cde0cbf59abccacbe6c68c0c88",
"private": false,
"record": {
"abstract": "In this paper we distinguish between top-performance and lower performance\ngroups in the analysis of statistical properties of bibliometric\ncharacteristics of two large sets of research groups. We find intriguing\ndifferences between top-performance and lower performance groups, but also\nbetween the two sets of research groups. Particularly these latter differences\nare interesting, as they may indicate the influence of research management\nstrategies. Lower performance groups have a larger scale-dependent cumulative\nadvantage than top-performance groups. We also find that regardless of\nperformance, larger groups have less not-cited publications. We introduce a\nsimple model in which processes at the micro level lead to the observed\nphenomena at the macro level. Top-performance groups are, on average, more\nsuccessful in the entire range of journal impact. We fit our findings into a\nconcept of hierarchically layered networks. In this concept, the network of\nresearch groups constitutes a layer of one hierarchical step higher than the\nbasic network of publications connected by citations. The cumulative\nsize-advantage of citations received by a group looks like preferential\nattachment in the basic network in which highly connected nodes (publications)\nincrease their connectivity faster than less connected nodes. But in our study\nit is size that causes an advantage. In general, the larger a group (node in\nthe research group network), the more incoming links this group acquires in a\nnon-linear, cumulative way. Moreover, top-performance groups are about an order\nof magnitude more efficient in creating linkages (i.e., receiving citations)\nthan the lower performance groups.",
"arxiv_id": "physics/0504050",
"authors": [
"Anthony F. J. van Raan"
],
"categories": [
"physics.soc-ph"
],
"title": "Performance-related differences of bibliometric statistical properties of research groups: cumulative advantages and hierarchically layered networks",
"url": "https://arxiv.org/abs/physics/0504050"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "cbbd7d96-244c-41ed-825e-62f810eed48e",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}