{"id":"https://openalex.org/W2145305331","doi":"https://doi.org/10.1145/1255175.1255221","title":"Toward alternative measures for ranking venues","display_name":"Toward alternative measures for ranking venues","publication_year":2007,"publication_date":"2007-06-18","ids":{"openalex":"https://openalex.org/W2145305331","doi":"https://doi.org/10.1145/1255175.1255221","mag":"2145305331"},"language":"en","primary_location":{"id":"doi:10.1145/1255175.1255221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1255175.1255221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008987451","display_name":"Yan Su","orcid":"https://orcid.org/0000-0002-1546-2799"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Su Yan","raw_affiliation_strings":["Penn. State University, State College, PA","Penn. State University, State College, PA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Penn. State University, State College, PA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Penn. State University, State College, PA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405086","display_name":"Dongwon Lee","orcid":"https://orcid.org/0000-0001-8371-7629"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongwon Lee","raw_affiliation_strings":["Penn. State University, State College, PA","Penn. State University, State College, PA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Penn. State University, State College, PA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Penn. State University, State College, PA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.9633,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.87721413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9894000291824341,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.8429199457168579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395294904708862},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7241334319114685},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7029551863670349},{"id":"https://openalex.org/keywords/impact-factor","display_name":"Impact factor","score":0.60591721534729},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5863824486732483},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5833100080490112},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.5571698546409607},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5434932112693787},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5172882080078125},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5132708549499512},{"id":"https://openalex.org/keywords/spearmans-rank-correlation-coefficient","display_name":"Spearman's rank correlation coefficient","score":0.4723910987377167},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4462845027446747},{"id":"https://openalex.org/keywords/journal-ranking","display_name":"Journal ranking","score":0.43610554933547974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397493362426758},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26228567957878113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14842793345451355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12187901139259338},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08571836352348328},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0812498927116394},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07784664630889893}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8429199457168579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395294904708862},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7241334319114685},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7029551863670349},{"id":"https://openalex.org/C2779455604","wikidata":"https://www.wikidata.org/wiki/Q5330","display_name":"Impact factor","level":2,"score":0.60591721534729},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5863824486732483},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5833100080490112},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.5571698546409607},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5434932112693787},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5172882080078125},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5132708549499512},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.4723910987377167},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4462845027446747},{"id":"https://openalex.org/C2779693592","wikidata":"https://www.wikidata.org/wiki/Q186839","display_name":"Journal ranking","level":3,"score":0.43610554933547974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397493362426758},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26228567957878113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14842793345451355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12187901139259338},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08571836352348328},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0812498927116394},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07784664630889893},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1255175.1255221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1255175.1255221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W19567971","https://openalex.org/W1575605140","https://openalex.org/W1656591120","https://openalex.org/W1854214752","https://openalex.org/W1973816953","https://openalex.org/W2014478203","https://openalex.org/W2018319765","https://openalex.org/W2063178659","https://openalex.org/W2101599977","https://openalex.org/W2122218263","https://openalex.org/W2128438887","https://openalex.org/W2140283616","https://openalex.org/W2152706498","https://openalex.org/W2153183607","https://openalex.org/W2170344111","https://openalex.org/W3038100267","https://openalex.org/W6634500939","https://openalex.org/W6636952709","https://openalex.org/W6639055396","https://openalex.org/W6780275083"],"related_works":["https://openalex.org/W2368363712","https://openalex.org/W4306884734","https://openalex.org/W2548730581","https://openalex.org/W1526572826","https://openalex.org/W2782091087","https://openalex.org/W1897234244","https://openalex.org/W2223548703","https://openalex.org/W2056976660","https://openalex.org/W2895936141","https://openalex.org/W2767996692"],"abstract_inverted_index":{"Ranking":[0],"of":[1,16,26,33,40,60,95,147,164],"publication":[2],"venues":[3,62,115,128,165],"is":[4,188],"often":[5],"closely":[6],"related":[7],"with":[8,190],"important":[9],"issues":[10],"such":[11],"as":[12],"evaluating":[13],"the":[14,31,38,58,93,96,106,148,173,177],"contributions":[15],"individual":[17],"scholars/research":[18],"groups,":[19],"or":[20],"subscription":[21],"decision":[22],"making.":[23],"The":[24],"development":[25],"large-scale":[27],"digital":[28],"libraries":[29],"and":[30,46,73,121,160,182],"availability":[32],"various":[34],"meta":[35],"data":[36,156],"provide":[37],"possibility":[39],"building":[41],"new":[42],"measures":[43,55,87,139,169],"more":[44,130],"efficiently":[45],"accurately.":[47],"In":[48,101],"this":[49],"work,":[50],"we":[51],"propose":[52],"two":[53,153],"novel":[54],"for":[56],"ranking":[57],"impacts":[59],"academic":[61],"an":[63,80],"easy-to-implement":[64],"seed-based":[65],"measure":[66,77],"that":[67,78,116,124],"does":[68],"not":[69],"use":[70],"citation":[71],"analysis,":[72],"a":[74,144,191],"realistic":[75],"browsing-based":[76],"takes":[79],"article":[81],"reader's":[82],"behavior":[83],"into":[84],"account.":[85],"Both":[86],"are":[88,113,129,140,170],"computationally":[89],"efficient":[90],"yet":[91],"mimic":[92],"results":[94],"widely":[97],"accepted":[98],"Impact":[99,174],"Factor.":[100],"particular,":[102],"our":[103,167],"proposal":[104],"exploits":[105],"fact":[107],"that:":[108],"(1)in":[109],"most":[110,117],"disciplines,":[111],"there":[112],"\"top\"":[114],"people":[118],"agree":[119],"on;":[120],"(2)":[122],"articles":[123],"appeared":[125],"in":[126],"good":[127],"likely":[131],"to":[132],"be":[133],"viewed":[134],"by":[135,166],"readers.":[136],"Our":[137],"proposed":[138,168],"extensively":[141],"evaluated":[142],"on":[143],"test":[145],"case":[146],"Database":[149],"research":[150],"community":[151],"using":[152,176],"real":[154],"bibliography":[155],"sets":[157],"-":[158],"ACM":[159],"DBLP.":[161],"Finally,":[162],"ranks":[163],"compared":[171],"against":[172],"Factor":[175],"Spearman's":[178],"rank":[179,185],"correlation":[180],"coefficient,":[181],"their":[183],"positive":[184],"order":[186],"relationship":[187],"proved":[189],"statistical":[192],"significance":[193],"test.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}