{"id":"https://openalex.org/W2995261664","doi":"https://doi.org/10.1080/01605682.2019.1657365","title":"Graph-based rank aggregation method for high-dimensional and partial rankings","display_name":"Graph-based rank aggregation method for high-dimensional and partial rankings","publication_year":2019,"publication_date":"2019-12-12","ids":{"openalex":"https://openalex.org/W2995261664","doi":"https://doi.org/10.1080/01605682.2019.1657365","mag":"2995261664"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2019.1657365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1657365","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5055480186","display_name":"Yu Xiao","orcid":"https://orcid.org/0000-0002-9892-4687"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xiao","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541935","display_name":"Hongzhong Deng","orcid":"https://orcid.org/0000-0002-7458-0947"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Zhong Deng","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032415518","display_name":"Xin L\u00fc","orcid":"https://orcid.org/0000-0002-3547-6493"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","School of Business, Central South University, Changsha, P. R. China;"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Business, Central South University, Changsha, P. R. China;","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012274197","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0002-1154-6071"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Wu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, P. R. China;","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, P. R. China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012274197"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":1.6464,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.85726849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"72","issue":"1","first_page":"227","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9340000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654401421546936},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6504026651382446},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5640754699707031},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5632970333099365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5328408479690552},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5294551253318787},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5239046812057495},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.48672035336494446},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.41531795263290405},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37877097725868225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2794402837753296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2728763818740845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26196375489234924},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08876368403434753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654401421546936},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6504026651382446},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5640754699707031},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5632970333099365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5328408479690552},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5294551253318787},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5239046812057495},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.48672035336494446},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.41531795263290405},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37877097725868225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2794402837753296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2728763818740845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26196375489234924},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08876368403434753},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2019.1657365","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1657365","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:72:y:2021:i:1:p:227-236","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2019.1657365","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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1437742013","https://openalex.org/W1854214752","https://openalex.org/W1968498770","https://openalex.org/W1972482870","https://openalex.org/W1996186208","https://openalex.org/W2019961482","https://openalex.org/W2041071620","https://openalex.org/W2043278166","https://openalex.org/W2051834357","https://openalex.org/W2056082261","https://openalex.org/W2095512455","https://openalex.org/W2146511318","https://openalex.org/W2147998069","https://openalex.org/W2154219462","https://openalex.org/W2165058082","https://openalex.org/W2167073353","https://openalex.org/W2189055664","https://openalex.org/W2287272272","https://openalex.org/W2497663052","https://openalex.org/W2570892181","https://openalex.org/W2603527563","https://openalex.org/W2774360915","https://openalex.org/W2802314900","https://openalex.org/W4231532749","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2526856061","https://openalex.org/W4298034124","https://openalex.org/W2572749905","https://openalex.org/W2908333189","https://openalex.org/W2624001596","https://openalex.org/W1934555896","https://openalex.org/W2483845706","https://openalex.org/W2154675174","https://openalex.org/W1611569871","https://openalex.org/W1969327548"],"abstract_inverted_index":{"Rank":[0],"aggregation":[1,54],"has":[2],"recently":[3],"become":[4,42],"a":[5,13,52,58,80,86,126],"common":[6],"approach":[7],"for":[8,16,90],"combining":[9],"individual":[10],"rankings":[11,37,78],"into":[12,79],"consensus":[14],"and":[15,18,30,45,71,129,144],"quantifying":[17],"improving":[19],"performance":[20],"in":[21,134],"various":[22],"applications,":[23],"such":[24],"as":[25],"elections,":[26],"web":[27],"page":[28],"rankings,":[29],"sports.":[31],"During":[32],"the":[33,65,91,99,122,142],"past":[34],"few":[35],"years,":[36],"from":[38,98],"many":[39],"sources":[40],"have":[41],"increasingly":[43],"high-dimensional":[44,76,136],"partial.":[46],"In":[47],"this":[48],"study,":[49],"we":[50,84],"develop":[51],"rank":[53],"method":[55,105,120],"by":[56,125],"constructing":[57],"directed":[59],"weighted":[60],"competition":[61],"graph.":[62],"We":[63],"introduce":[64],"concept":[66],"of":[67,69,146],"\u201cratio":[68],"out-":[70],"in-degrees":[72],"(ROID)\u201d":[73],"to":[74,95],"transform":[75],"partial":[77],"single":[81],"consensus.":[82],"Moreover,":[83],"provide":[85],"novel":[87],"effectiveness":[88,143],"measure":[89],"aggregate":[92],"ranking":[93],"according":[94],"its":[96],"deviations":[97],"ground":[100],"truth":[101],"ranking.":[102],"The":[103,115,138],"proposed":[104],"is":[106],"compared":[107],"with":[108,112],"four":[109,124],"typical":[110],"methods":[111],"synthetic":[113],"rankings.":[114,137],"results":[116,140],"indicate":[117],"that":[118],"our":[119,147],"outperforms":[121],"other":[123],"significant":[127],"margin":[128],"can":[130],"be":[131],"particularly":[132],"efficient":[133],"aggregating":[135],"empirical":[139],"validate":[141],"feasibility":[145],"method.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
