{"id":"https://openalex.org/W2805128757","doi":"https://doi.org/10.1145/3197026.3197070","title":"Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement","display_name":"Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement","publication_year":2018,"publication_date":"2018-05-23","ids":{"openalex":"https://openalex.org/W2805128757","doi":"https://doi.org/10.1145/3197026.3197070","mag":"2805128757"},"language":"en","primary_location":{"id":"doi:10.1145/3197026.3197070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197026.3197070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries","raw_type":"proceedings-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/A5100367248","display_name":"Fang Zhang","orcid":"https://orcid.org/0000-0002-7132-3144"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Zhang","raw_affiliation_strings":["Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072246520","display_name":"Shengli Wu","orcid":"https://orcid.org/0000-0003-2008-1736"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Wu","raw_affiliation_strings":["Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100367248"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":1.2065,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78875251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9932000041007996,"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/citation","display_name":"Citation","score":0.8251019716262817},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7840129733085632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7453562021255493},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.68308424949646},{"id":"https://openalex.org/keywords/prestige","display_name":"Prestige","score":0.6391269564628601},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5900760293006897},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46041303873062134},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.43825310468673706},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.386464923620224},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23222818970680237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09114322066307068},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0887988805770874}],"concepts":[{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.8251019716262817},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7840129733085632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453562021255493},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.68308424949646},{"id":"https://openalex.org/C2778329345","wikidata":"https://www.wikidata.org/wiki/Q919978","display_name":"Prestige","level":2,"score":0.6391269564628601},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5900760293006897},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46041303873062134},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.43825310468673706},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.386464923620224},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23222818970680237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09114322066307068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0887988805770874},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3197026.3197070","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197026.3197070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5699999928474426,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1601506792","https://openalex.org/W1799284535","https://openalex.org/W1984250866","https://openalex.org/W1990367385","https://openalex.org/W1992037052","https://openalex.org/W1997249077","https://openalex.org/W2011111873","https://openalex.org/W2019600199","https://openalex.org/W2062424259","https://openalex.org/W2066636486","https://openalex.org/W2071630990","https://openalex.org/W2103636097","https://openalex.org/W2145305331","https://openalex.org/W2162010993","https://openalex.org/W3104719570","https://openalex.org/W3121315213","https://openalex.org/W4387556195"],"related_works":["https://openalex.org/W2371960048","https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2138488530","https://openalex.org/W2898073868","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395"],"abstract_inverted_index":{"Evaluating":[0],"papers":[1,45,73],"and":[2,5,10,17,32,51,58,74,93,125],"venues":[3,33,57,75],"objectively":[4],"fairly":[6],"is":[7],"a":[8,67,78,91,96],"vital":[9],"challenging":[11],"task":[12],"for":[13],"scientists,":[14],"research":[15,18],"organizations,":[16],"funding":[19],"bodies":[20],"alike.":[21],"Recently,":[22],"heterogeneous":[23],"networks":[24],"have":[25],"been":[26],"used":[27],"to":[28,98],"evaluate":[29],"papers,":[30],"authors":[31],"separately":[34],"or":[35],"simultaneously.":[36],"However,":[37],"most":[38],"of":[39,55,90,95,122],"the":[40,44,47,53,104,109],"approaches":[41],"treat":[42],"all":[43],"in":[46,77,120],"citation":[48,59,85],"network":[49],"equally":[50],"ignore":[52],"prestige":[54],"citing":[56],"time":[60,86],"intervals.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"new":[68],"framework,":[69],"MR-Rank,":[70],"which":[71],"ranks":[72],"iteratively":[76],"mutually":[79],"reinforcing":[80],"way.":[81],"Several":[82],"factors":[83],"including":[84],"interval,":[87],"recent":[88],"performance":[89],"venue,":[92],"contribution":[94],"paper":[97],"its":[99],"venue":[100],"are":[101],"considered":[102],"at":[103],"same":[105],"time.":[106],"Based":[107],"on":[108],"ACL":[110],"dataset,":[111],"our":[112],"experiments":[113],"show":[114],"that":[115],"MR-Rank":[116],"outperforms":[117],"other":[118],"models":[119],"terms":[121],"ranking":[123],"effectiveness":[124],"efficiency.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}