{"id":"https://openalex.org/W4253239465","doi":"https://doi.org/10.1108/00220410510585179","title":"Empirical hyperbolic distributions (Bradford\u2010Zipf\u2010Mandelbrot) for bibliometric description and prediction","display_name":"Empirical hyperbolic distributions (Bradford\u2010Zipf\u2010Mandelbrot) for bibliometric description and prediction","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W4253239465","doi":"https://doi.org/10.1108/00220410510585179"},"language":"en","primary_location":{"id":"doi:10.1108/00220410510585179","is_oa":false,"landing_page_url":"https://doi.org/10.1108/00220410510585179","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067737414","display_name":"R. A. Fairthorne","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Robert A. Fairthorne","raw_affiliation_strings":["Farnborough, UK"],"affiliations":[{"raw_affiliation_string":"Farnborough, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067737414"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.53072684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"61","issue":"2","first_page":"171","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zipfs-law","display_name":"Zipf's law","score":0.9036147594451904},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.8036291599273682},{"id":"https://openalex.org/keywords/mandelbrot-set","display_name":"Mandelbrot set","score":0.6994863748550415},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5943167209625244},{"id":"https://openalex.org/keywords/informetrics","display_name":"Informetrics","score":0.5425757169723511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4952177107334137},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.41896897554397583},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3858344554901123},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38231372833251953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32200920581817627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2568132281303406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2556542158126831},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.21328386664390564}],"concepts":[{"id":"https://openalex.org/C125932096","wikidata":"https://www.wikidata.org/wiki/Q205472","display_name":"Zipf's law","level":2,"score":0.9036147594451904},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.8036291599273682},{"id":"https://openalex.org/C97519476","wikidata":"https://www.wikidata.org/wiki/Q257","display_name":"Mandelbrot set","level":3,"score":0.6994863748550415},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5943167209625244},{"id":"https://openalex.org/C2780378607","wikidata":"https://www.wikidata.org/wiki/Q355654","display_name":"Informetrics","level":3,"score":0.5425757169723511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952177107334137},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.41896897554397583},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3858344554901123},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38231372833251953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32200920581817627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2568132281303406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556542158126831},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.21328386664390564},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/00220410510585179","is_oa":false,"landing_page_url":"https://doi.org/10.1108/00220410510585179","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1969324628","https://openalex.org/W1984229739","https://openalex.org/W1986109719","https://openalex.org/W2009237660","https://openalex.org/W2010496675","https://openalex.org/W2011922430","https://openalex.org/W2024163429","https://openalex.org/W2027180569","https://openalex.org/W2028372193","https://openalex.org/W2030170857","https://openalex.org/W2038139560","https://openalex.org/W2052721656","https://openalex.org/W2057562803","https://openalex.org/W2064945560","https://openalex.org/W2067622275","https://openalex.org/W2074925535","https://openalex.org/W2084675619","https://openalex.org/W2086495320","https://openalex.org/W2089997957","https://openalex.org/W2093098784","https://openalex.org/W2094417016","https://openalex.org/W2097835196","https://openalex.org/W2123733025","https://openalex.org/W2127002947","https://openalex.org/W2146744030","https://openalex.org/W2157327895","https://openalex.org/W2161895663","https://openalex.org/W2164466643","https://openalex.org/W2289346085","https://openalex.org/W2463095032","https://openalex.org/W3125246470","https://openalex.org/W4235943384"],"related_works":["https://openalex.org/W2942703316","https://openalex.org/W4386268998","https://openalex.org/W1587867695","https://openalex.org/W3115068246","https://openalex.org/W3131725834","https://openalex.org/W2490357328","https://openalex.org/W2390225717","https://openalex.org/W2096954165","https://openalex.org/W2742167956","https://openalex.org/W1646960745"],"abstract_inverted_index":{"Abstract":[0],"Purpose":[1],"\u2013":[2,30,56,74],"Aims":[3],"to":[4,18,69,83],"build":[5],"on":[6,40],"the":[7,19,24,41,46,52,60],"work":[8],"of":[9,21,26,33,48,63],"Buckland":[10],"and":[11,44,51,66],"Hindle":[12],"regarding":[13],"statistical":[14],"distribution":[15],"as":[16],"applied":[17],"field":[20],"bibliometrics,":[22],"particularly":[23],"use":[25],"empirical":[27],"laws.":[28],"Design/methodology/approach":[29],"Gives":[31],"examples":[32],"hyperbolic":[34,49],"distributions":[35,50,58],"that":[36,82],"have":[37],"a":[38,67],"bearing":[39],"bibliometric":[42],"application,":[43],"discusses":[45],"characteristics":[47],"Bradford":[53],"distribution.":[54],"Findings":[55],"Hyperbolic":[57],"are":[59],"inevitable":[61],"result":[62],"combinatorial":[64],"necessity":[65],"tendency":[68],"short\u2010term":[70],"rational":[71],"behaviour.":[72],"Originality/value":[73],"Supports":[75],"Bradford's":[76],"conclusion":[77],"from":[78],"his":[79],"law,":[80],"i.e.":[81],"know":[84],"about":[85],"one's":[86],"speciality,":[87],"one":[88],"must":[89],"go":[90],"outside":[91],"it.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
