{"id":"https://openalex.org/W4409809050","doi":"https://doi.org/10.1007/s11192-025-05324-z","title":"A comparison of citation-based clustering and topic modeling for science mapping","display_name":"A comparison of citation-based clustering and topic modeling for science mapping","publication_year":2025,"publication_date":"2025-04-25","ids":{"openalex":"https://openalex.org/W4409809050","doi":"https://doi.org/10.1007/s11192-025-05324-z"},"language":"en","primary_location":{"id":"doi:10.1007/s11192-025-05324-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-025-05324-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-025-05324-z.pdf","source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11192-025-05324-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061489503","display_name":"Qianqian Xie","orcid":"https://orcid.org/0000-0001-8565-9485"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Qianqian Xie","raw_affiliation_strings":["Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8565-9485","affiliations":[{"raw_affiliation_string":"Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027467000","display_name":"Ludo Waltman","orcid":"https://orcid.org/0000-0001-8249-1752"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ludo Waltman","raw_affiliation_strings":["Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8249-1752","affiliations":[{"raw_affiliation_string":"Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061489503"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":7.2239,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.97633668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"130","issue":"5","first_page":"2497","last_page":"2522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6657056212425232},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5972195267677307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5845062732696533},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.5361969470977783},{"id":"https://openalex.org/keywords/scientometrics","display_name":"Scientometrics","score":0.5003764629364014},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4798128604888916},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.479692667722702},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.42323732376098633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36802369356155396},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.23546531796455383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2190384864807129}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6657056212425232},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5972195267677307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845062732696533},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.5361969470977783},{"id":"https://openalex.org/C525823164","wikidata":"https://www.wikidata.org/wiki/Q472342","display_name":"Scientometrics","level":2,"score":0.5003764629364014},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4798128604888916},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.479692667722702},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.42323732376098633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36802369356155396},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.23546531796455383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2190384864807129}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11192-025-05324-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-025-05324-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-025-05324-z.pdf","source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:scient:v:130:y:2025:i:5:d:10.1007_s11192-025-05324-z","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11192-025-05324-z","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11192-025-05324-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11192-025-05324-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11192-025-05324-z.pdf","source":{"id":"https://openalex.org/S148561398","display_name":"Scientometrics","issn_l":"0138-9130","issn":["0138-9130","1588-2861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320108","host_organization_name":"Springer Nature (Netherlands)","host_organization_lineage":["https://openalex.org/P4310320108","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature (Netherlands)","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientometrics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409809050.pdf","grobid_xml":"https://content.openalex.org/works/W4409809050.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W2019753053","https://openalex.org/W2025365931","https://openalex.org/W2045108252","https://openalex.org/W2050638501","https://openalex.org/W2072644219","https://openalex.org/W2100774734","https://openalex.org/W2120379285","https://openalex.org/W2126566678","https://openalex.org/W2132827946","https://openalex.org/W2160170318","https://openalex.org/W2171343266","https://openalex.org/W2174706414","https://openalex.org/W2405823320","https://openalex.org/W2588960398","https://openalex.org/W2592059976","https://openalex.org/W2592084954","https://openalex.org/W2592092867","https://openalex.org/W2593866034","https://openalex.org/W2595052243","https://openalex.org/W2601243251","https://openalex.org/W2786672974","https://openalex.org/W2791450374","https://openalex.org/W2888532066","https://openalex.org/W2897249806","https://openalex.org/W2938824800","https://openalex.org/W2948876044","https://openalex.org/W2953107155","https://openalex.org/W2953237954","https://openalex.org/W2963824633","https://openalex.org/W3002208686","https://openalex.org/W3013794879","https://openalex.org/W3032040525","https://openalex.org/W3103443220","https://openalex.org/W3106188259","https://openalex.org/W3116175975","https://openalex.org/W3162745513","https://openalex.org/W3216383218","https://openalex.org/W4206167457","https://openalex.org/W4221142221","https://openalex.org/W4237791300","https://openalex.org/W4250282657","https://openalex.org/W4255497883","https://openalex.org/W4287687124","https://openalex.org/W4301141552","https://openalex.org/W4387619720","https://openalex.org/W4396237870","https://openalex.org/W4403269460","https://openalex.org/W4403674158"],"related_works":["https://openalex.org/W2523185919","https://openalex.org/W4385506752","https://openalex.org/W2803459330","https://openalex.org/W3115068246","https://openalex.org/W4390344667","https://openalex.org/W4210725730","https://openalex.org/W1587562017","https://openalex.org/W2137224556","https://openalex.org/W1806724978","https://openalex.org/W3145450668"],"abstract_inverted_index":{"Abstract":[0],"Understanding":[1],"the":[2,12,44,51,101,108,116,153,170,173],"different":[3,7],"ways":[4],"in":[5,91,103,151],"which":[6],"science":[8,61,180],"mapping":[9],"approaches":[10,53,191],"capture":[11],"structure":[13,155],"of":[14,25,46,63,100,118,128,156,172,175],"scientific":[15,165],"fields":[16],"is":[17,122,130],"critical.":[18],"This":[19,167],"paper":[20],"presents":[21],"a":[22,92,104,123,160],"comparative":[23],"analysis":[24],"two":[26,52],"commonly":[27],"used":[28],"approaches,":[29],"topic":[30,105],"modeling":[31],"(TM)":[32],"and":[33,43,56,69,78,88,177],"citation-based":[34],"clustering":[35],"(CC),":[36],"to":[37,107,133,138,163,188],"assess":[38],"their":[39,47,194],"respective":[40],"strengths,":[41],"weaknesses,":[42],"characteristics":[45],"results.":[48],"We":[49],"compare":[50],"using":[54],"cluster-to-topic":[55],"topic-to-cluster":[57],"mappings":[58],"based":[59,192],"on":[60,186,193],"maps":[62],"cardiovascular":[64,139,157],"research":[65],"generated":[66],"by":[67],"TM":[68,115,129,176],"CC.":[70],"Our":[71],"findings":[72],"reveal":[73],"that":[74],"relations":[75],"between":[76,86],"topics":[77,87,121],"clusters":[79],"are":[80],"generally":[81],"weak,":[82],"with":[83,159],"limited":[84],"overlap":[85],"clusters.":[89],"Only":[90],"few":[93],"exceptional":[94],"cases":[95],"do":[96],"more":[97],"than":[98],"one-third":[99],"documents":[102],"belong":[106],"same":[109],"cluster,":[110],"or":[111],"vice":[112],"versa.":[113],"For":[114],"presence":[117],"highly":[119],"similar":[120],"considerable":[124],"challenge.":[125],"A":[126],"strength":[127],"its":[131],"ability":[132],"represent":[134],"societal":[135],"needs":[136],"related":[137],"disease,":[140],"potentially":[141],"offering":[142],"valuable":[143],"insights":[144,183],"for":[145,179,184],"policymakers.":[146],"In":[147],"contrast,":[148],"CC":[149,178],"excels":[150],"depicting":[152],"intellectual":[154],"diseases,":[158],"strong":[161],"capability":[162],"reflect":[164],"micro-communities.":[166],"study":[168],"deepens":[169],"understanding":[171],"use":[174],"mapping,":[181],"providing":[182],"users":[185],"how":[187],"apply":[189],"these":[190],"needs.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
