{"id":"https://openalex.org/W2565026778","doi":"https://doi.org/10.1017/s1351324915000443","title":"NLP-driven citation analysis for scientometrics","display_name":"NLP-driven citation analysis for scientometrics","publication_year":2016,"publication_date":"2016-01-25","ids":{"openalex":"https://openalex.org/W2565026778","doi":"https://doi.org/10.1017/s1351324915000443","mag":"2565026778"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324915000443","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324915000443","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","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/A5055937996","display_name":"Rahul Jha","orcid":"https://orcid.org/0000-0002-5641-4347"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"RAHUL JHA","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA e-mails:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA e-mails:","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113793818","display_name":"AMJAD-ABU JBARA","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"AMJAD-ABU JBARA","raw_affiliation_strings":["Microsoft Corp., Redmond, WA, USA e-mails:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, WA, USA e-mails:","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000429467","display_name":"Vahed Qazvinian","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"VAHED QAZVINIAN","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA e-mail:","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081787254","display_name":"Dragomir Radev","orcid":"https://orcid.org/0000-0001-7830-6489"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DRAGOMIR R. RADEV","raw_affiliation_strings":["EECS and SI, University of Michigan, Ann Arbor, MI, USA e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS and SI, University of Michigan, Ann Arbor, MI, USA e-mail:","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2922,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.9883871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"93","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9972000122070312,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8824218511581421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8820482492446899},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7580627799034119},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6015827655792236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5936670303344727},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5602533221244812},{"id":"https://openalex.org/keywords/scientometrics","display_name":"Scientometrics","score":0.5562840104103088},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5308096408843994},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4975140392780304},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41359373927116394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4057694673538208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19649264216423035}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8824218511581421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8820482492446899},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7580627799034119},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6015827655792236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5936670303344727},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5602533221244812},{"id":"https://openalex.org/C525823164","wikidata":"https://www.wikidata.org/wiki/Q472342","display_name":"Scientometrics","level":2,"score":0.5562840104103088},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5308096408843994},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4975140392780304},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41359373927116394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4057694673538208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19649264216423035},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s1351324915000443","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324915000443","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W44474723","https://openalex.org/W91322025","https://openalex.org/W204033330","https://openalex.org/W224294845","https://openalex.org/W236342489","https://openalex.org/W1488811529","https://openalex.org/W1488938659","https://openalex.org/W1491754772","https://openalex.org/W1498088266","https://openalex.org/W1502183989","https://openalex.org/W1514149129","https://openalex.org/W1516184288","https://openalex.org/W1518116543","https://openalex.org/W1526201365","https://openalex.org/W1559838295","https://openalex.org/W1578147981","https://openalex.org/W1583837637","https://openalex.org/W1591871003","https://openalex.org/W1593271688","https://openalex.org/W1601506792","https://openalex.org/W1602102908","https://openalex.org/W1605255363","https://openalex.org/W1607035479","https://openalex.org/W1632114991","https://openalex.org/W1772386586","https://openalex.org/W1777089982","https://openalex.org/W1909179892","https://openalex.org/W1911305376","https://openalex.org/W1941049987","https://openalex.org/W1942393901","https://openalex.org/W1954622760","https://openalex.org/W1958739611","https://openalex.org/W1965634478","https://openalex.org/W1965964177","https://openalex.org/W1969360832","https://openalex.org/W1980118257","https://openalex.org/W1980282589","https://openalex.org/W1980807233","https://openalex.org/W1992422757","https://openalex.org/W1996250712","https://openalex.org/W2002034968","https://openalex.org/W2007482842","https://openalex.org/W2017238344","https://openalex.org/W2025600322","https://openalex.org/W2027880518","https://openalex.org/W2029289127","https://openalex.org/W2033293705","https://openalex.org/W2037789405","https://openalex.org/W2042042646","https://openalex.org/W2043159619","https://openalex.org/W2043650643","https://openalex.org/W2046346568","https://openalex.org/W2052071685","https://openalex.org/W2056694180","https://openalex.org/W2061271742","https://openalex.org/W2061312249","https://openalex.org/W2073023209","https://openalex.org/W2075263902","https://openalex.org/W2088336913","https://openalex.org/W2093585241","https://openalex.org/W2097350739","https://openalex.org/W2101105183","https://openalex.org/W2101210369","https://openalex.org/W2102065370","https://openalex.org/W2105161911","https://openalex.org/W2107972503","https://openalex.org/W2108695571","https://openalex.org/W2110693578","https://openalex.org/W2117269329","https://openalex.org/W2122700373","https://openalex.org/W2126053020","https://openalex.org/W2135355043","https://openalex.org/W2135696593","https://openalex.org/W2138627627","https://openalex.org/W2140548485","https://openalex.org/W2141619255","https://openalex.org/W2142437998","https://openalex.org/W2144512097","https://openalex.org/W2144941913","https://openalex.org/W2147880316","https://openalex.org/W2150569271","https://openalex.org/W2153439141","https://openalex.org/W2155943803","https://openalex.org/W2156985047","https://openalex.org/W2157470625","https://openalex.org/W2160992478","https://openalex.org/W2164777277","https://openalex.org/W2166957049","https://openalex.org/W2171663428","https://openalex.org/W2178628967","https://openalex.org/W2251939518","https://openalex.org/W2300855701","https://openalex.org/W2321621029","https://openalex.org/W2606601345","https://openalex.org/W2607849328","https://openalex.org/W2608651664","https://openalex.org/W2733628661","https://openalex.org/W2771472444","https://openalex.org/W2781528640","https://openalex.org/W2796493717","https://openalex.org/W2799915114","https://openalex.org/W2893578842","https://openalex.org/W2911864677","https://openalex.org/W2912049406","https://openalex.org/W2914176692","https://openalex.org/W2914181088","https://openalex.org/W2914499740","https://openalex.org/W2963905624","https://openalex.org/W2964118312","https://openalex.org/W3005292273","https://openalex.org/W3098224963","https://openalex.org/W3099883129","https://openalex.org/W3101913037","https://openalex.org/W3133149050","https://openalex.org/W3133922019","https://openalex.org/W4240811499","https://openalex.org/W4251502149","https://openalex.org/W6608335389","https://openalex.org/W6684468177","https://openalex.org/W6785741426","https://openalex.org/W6790478665"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2,41],"summarizes":[3],"ongoing":[4],"research":[5,76],"in":[6,91,149],"Natural-Language-Processing-driven":[7,92],"citation":[8,52,55,93,105,109],"analysis":[9,27,94,152],"and":[10,13,54,67,78,153],"describes":[11],"experiments":[12],"motivating":[14],"examples":[15],"of":[16,64,71,132],"how":[17,143],"this":[18],"work":[19],"can":[20,146],"be":[21,147],"used":[22],"to":[23,42,117],"enhance":[24],"traditional":[25],"scientometrics":[26],"that":[28,88,111,137],"is":[29,103,124],"based":[30],"on":[31,60],"simply":[32],"treating":[33],"citations":[34],"as":[35],"a":[36,96,133],"\u2018vote\u2019":[37],"from":[38],"the":[39,61,69,107,118,128],"citing":[40,135],"cited":[43],"paper.":[44,99,120],"In":[45],"particular,":[46],"we":[47],"describe":[48],"our":[49],"dataset":[50],"for":[51,74,95],"polarity":[53],"purpose,":[56],"present":[57],"experimental":[58],"results":[59],"automatic":[62],"detection":[63],"these":[65,144],"indicators,":[66],"demonstrate":[68],"use":[70],"such":[72],"annotations":[73],"studying":[75],"dynamics":[77],"scientific":[79],"summarization.":[80,155],"We":[81,141],"also":[82],"look":[83],"at":[84],"two":[85],"complementary":[86],"problems":[87],"show":[89,142],"up":[90],"specific":[97],"target":[98,119,129],"The":[100,121],"first":[101],"problem":[102,123],"extracting":[104,125],"context,":[106],"implicit":[108],"sentences":[110],"do":[112],"not":[113],"contain":[114],"explicit":[115],"anchors":[116],"second":[122],"reference":[126],"scope,":[127],"relevant":[130],"segment":[131],"complicated":[134],"sentence":[136],"cites":[138],"multiple":[139],"papers.":[140],"tasks":[145],"helpful":[148],"improving":[150],"sentiment":[151],"citation-based":[154]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
