{"id":"https://openalex.org/W2952473988","doi":"https://doi.org/10.1109/jcdl.2017.7991560","title":"Understanding the Impact of Early Citers on Long-Term Scientific Impact","display_name":"Understanding the Impact of Early Citers on Long-Term Scientific Impact","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2952473988","doi":"https://doi.org/10.1109/jcdl.2017.7991560","mag":"2952473988"},"language":"en","primary_location":{"id":"doi:10.1109/jcdl.2017.7991560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcdl.2017.7991560","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","raw_type":"proceedings-article"},"type":"preprint","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/A5100746903","display_name":"Mayank Singh","orcid":"https://orcid.org/0000-0002-8393-3652"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mayank Singh","raw_affiliation_strings":["Dept. of Computer Science and Engg., IIT Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg., IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034136464","display_name":"Ajay Jaiswal","orcid":"https://orcid.org/0000-0001-9032-2916"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajay Jaiswal","raw_affiliation_strings":["Dept. of Computer Science and Engg., IIT Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg., IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075278784","display_name":"Priya Shree","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priya Shree","raw_affiliation_strings":["Dept. of Computer Science and Engg., IIT Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg., IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044617871","display_name":"Arindam Pal","orcid":"https://orcid.org/0000-0001-5710-7464"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arindam Pal","raw_affiliation_strings":["TCS Innovation Labs, India"],"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020991141","display_name":"Animesh Mukherjee","orcid":"https://orcid.org/0000-0003-4534-0044"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Animesh Mukherjee","raw_affiliation_strings":["Dept. of Computer Science and Engg., IIT Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg., IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103213198","display_name":"Pawan Goyal","orcid":"https://orcid.org/0000-0002-9414-8166"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawan Goyal","raw_affiliation_strings":["Dept. of Computer Science and Engg., IIT Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engg., IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100746903"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":1.07629125,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81001947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9987999796867371,"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":0.9987999796867371,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.982200026512146,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6767926216125488},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6760265827178955},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5994659066200256},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5881967544555664},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.586811900138855},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5815584063529968},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5153245329856873},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4964194893836975},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4627883732318878},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.45110124349594116},{"id":"https://openalex.org/keywords/citation-impact","display_name":"Citation impact","score":0.4483630657196045},{"id":"https://openalex.org/keywords/rest","display_name":"Rest (music)","score":0.4356839060783386},{"id":"https://openalex.org/keywords/impact-factor","display_name":"Impact factor","score":0.41599664092063904},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.353855699300766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25972917675971985},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19056466221809387},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1813407838344574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12795689702033997},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08653044700622559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767926216125488},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6760265827178955},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5994659066200256},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5881967544555664},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.586811900138855},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5815584063529968},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5153245329856873},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4964194893836975},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4627883732318878},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.45110124349594116},{"id":"https://openalex.org/C2778793908","wikidata":"https://www.wikidata.org/wiki/Q5122404","display_name":"Citation impact","level":3,"score":0.4483630657196045},{"id":"https://openalex.org/C77265313","wikidata":"https://www.wikidata.org/wiki/Q879844","display_name":"Rest (music)","level":2,"score":0.4356839060783386},{"id":"https://openalex.org/C2779455604","wikidata":"https://www.wikidata.org/wiki/Q5330","display_name":"Impact factor","level":2,"score":0.41599664092063904},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.353855699300766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25972917675971985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19056466221809387},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1813407838344574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12795689702033997},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08653044700622559},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcdl.2017.7991560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcdl.2017.7991560","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W93570834","https://openalex.org/W1541089782","https://openalex.org/W1594031697","https://openalex.org/W1746819321","https://openalex.org/W1958739611","https://openalex.org/W1965799157","https://openalex.org/W1972230306","https://openalex.org/W1985082033","https://openalex.org/W2000574324","https://openalex.org/W2002034968","https://openalex.org/W2005706022","https://openalex.org/W2008516411","https://openalex.org/W2014782383","https://openalex.org/W2029902769","https://openalex.org/W2032884174","https://openalex.org/W2081087459","https://openalex.org/W2082562729","https://openalex.org/W2089786550","https://openalex.org/W2113952909","https://openalex.org/W2123235074","https://openalex.org/W2124689612","https://openalex.org/W2124871647","https://openalex.org/W2126807485","https://openalex.org/W2128438887","https://openalex.org/W2133990480","https://openalex.org/W2137226992","https://openalex.org/W2163978340","https://openalex.org/W2553020240","https://openalex.org/W2574051726","https://openalex.org/W2587248788","https://openalex.org/W4211049957","https://openalex.org/W4235654740","https://openalex.org/W6729832928"],"related_works":["https://openalex.org/W3021992959","https://openalex.org/W2392930502","https://openalex.org/W2015398090","https://openalex.org/W2094527458","https://openalex.org/W2035365477","https://openalex.org/W2186495355","https://openalex.org/W2478143672","https://openalex.org/W2114387829","https://openalex.org/W1639032131","https://openalex.org/W2922425779"],"abstract_inverted_index":{"This":[0],"paper":[1,27,46,71,238],"explores":[2],"an":[3,169,229,242,269],"interesting":[4],"new":[5,115],"dimension":[6],"to":[7,69,186,199,233,260,272],"the":[8,20,29,59,82,85,97,107,147,152,155,211,217,234,237,253,265,278,300,303,308],"challenging":[9],"problem":[10],"of":[11,22,61,87,99,106,110,133,154,165,172,181,216,236],"predicting":[12],"long-term":[13],"scientific":[14],"impact":[15,86],"(LTSI)":[16],"usually":[17],"measured":[18],"by":[19,25,44],"number":[21],"citations":[23,37,68],"accumulated":[24],"a":[26,45,70,100,113,122,282],"in":[28,65,117,146,179,252,307],"long-term.":[30],"It":[31],"is":[32,53,225,231,288],"well":[33],"known":[34],"that":[35,56,103,191,221,248],"early":[36,67,93],"(within":[38],"1-2":[39],"years":[40],"after":[41],"publication)":[42],"acquired":[43],"positively":[47],"affects":[48,195],"its":[49,74],"LTSI.":[50,75],"However,":[51],"there":[52],"no":[54],"work":[55],"investigates":[57],"if":[58,228],"set":[60],"authors":[62,89,139,156,235],"who":[63,140],"bring":[64],"these":[66,88,182],"also":[72],"affect":[73],"In":[76,184],"this":[77,104,222],"paper,":[78],"we":[79,91,128,136,189,205,246,267,297],"demonstrate":[80],"for":[81,281],"first":[83],"time,":[84],"whom":[90],"call":[92,137],"citers":[94],"(EC)":[95],"on":[96],"LTSI":[98,178,196],"paper.":[101,285],"Note":[102],"study":[105],"complex":[108],"dynamics":[109],"EC":[111,134,166,193,230,250,274],"introduces":[112],"brand":[114],"paradigm":[116],"citation":[118,256],"behavior":[119],"analysis.":[120],"Using":[121],"massive":[123],"computer":[124],"science":[125],"bibliographic":[126],"dataset":[127,148,305],"identify":[129],"two":[130],"distinct":[131],"categories":[132],"-":[135],"those":[138],"have":[141],"high":[142,261],"overall":[143],"publication/citation":[144],"count":[145],"as":[149,157],"influential":[150,192],"and":[151,167,302],"rest":[153],"non-":[158],"influential.":[159],"We":[160],"investigate":[161],"three":[162],"characteristic":[163],"properties":[164,251],"present":[168,206,268],"extensive":[170],"analysis":[171],"how":[173],"each":[174],"category":[175],"correlates":[176],"with":[177,277],"terms":[180],"properties.":[183],"contrast":[185],"popular":[187],"perception,":[188],"find":[190],"negatively":[194],"possibly":[197],"owing":[198],"attention":[200],"stealing.":[201],"To":[202,293],"motivate":[203],"this,":[204],"several":[207],"representative":[208],"examples":[209],"from":[210],"dataset.":[212],"A":[213],"closer":[214],"inspection":[215],"collaboration":[218],"network":[219],"reveals":[220],"stealing":[223],"effect":[224],"more":[226],"profound":[227],"nearer":[232],"being":[239],"investigated.":[240],"As":[241],"intuitive":[243],"use":[244],"case,":[245],"show":[247],"incorporating":[249],"state-of-the-art":[254],"supervised":[255],"prediction":[257,279],"models":[258],"leads":[259],"performance":[262],"margins.":[263],"At":[264],"closing,":[266],"online":[270,290],"portal":[271,287],"visualize":[273],"statistics":[275],"along":[276],"results":[280],"given":[283],"query":[284],"The":[286],"accessible":[289],"at:":[291],"http://www.cnergres.iitkgp.ac.in/earlyciters/.":[292],"facilitate":[294],"reproducible":[295],"research,":[296],"make":[298],"all":[299],"codes":[301],"processed":[304],"available":[306],"public":[309],"domain.":[310]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
