{"id":"https://openalex.org/W2105909330","doi":"https://doi.org/10.1162/089976699300016719","title":"Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources","display_name":"Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources","publication_year":1999,"publication_date":"1999-02-01","ids":{"openalex":"https://openalex.org/W2105909330","doi":"https://doi.org/10.1162/089976699300016719","mag":"2105909330","pmid":"https://pubmed.ncbi.nlm.nih.gov/9950738"},"language":"en","primary_location":{"id":"doi:10.1162/089976699300016719","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976699300016719","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5022408850","display_name":"Te-Won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I1307098950","display_name":"Salk Institute for Biological Studies","ror":"https://ror.org/03xez1567","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1307098950"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Te-Won Lee","raw_affiliation_strings":["Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute, La Jolla, CA 92037, U.S.A","Institut f\u00fcr Electronik, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute, La Jolla, CA 92037, U.S.A","institution_ids":["https://openalex.org/I1307098950"]},{"raw_affiliation_string":"Institut f\u00fcr Electronik, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045384249","display_name":"Mark Girolami","orcid":"https://orcid.org/0000-0003-3008-253X"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Girolami","raw_affiliation_strings":["Department of Computing and Information Systems, University of Paisley, PA1 2BE, Scotland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, University of Paisley, PA1 2BE, Scotland","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044141636","display_name":"Terrence J. Sejnowski","orcid":"https://orcid.org/0000-0002-0622-7391"},"institutions":[{"id":"https://openalex.org/I1307098950","display_name":"Salk Institute for Biological Studies","ror":"https://ror.org/03xez1567","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1307098950"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Terrence J. Sejnowski","raw_affiliation_strings":["Department of Biology, University of California, San Diego, La Jolla, CA 92093, U.S.A","Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute, La Jolla, CA 92037, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, University of California, San Diego, La Jolla, CA 92093, U.S.A","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute, La Jolla, CA 92037, U.S.A","institution_ids":["https://openalex.org/I1307098950"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":38.7556,"has_fulltext":false,"cited_by_count":1991,"citation_normalized_percentile":{"value":0.99931671,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"2","first_page":"417","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.9924147129058838},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7600945830345154},{"id":"https://openalex.org/keywords/negentropy","display_name":"Negentropy","score":0.7231175899505615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.542464017868042},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47205573320388794},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4630489647388458},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42028310894966125},{"id":"https://openalex.org/keywords/models-of-neural-computation","display_name":"Models of neural computation","score":0.4141290485858917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3817567229270935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3679043650627136},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.366716206073761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3654102385044098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36149463057518005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3520964980125427},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.18987834453582764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17141443490982056}],"concepts":[{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.9924147129058838},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7600945830345154},{"id":"https://openalex.org/C118346863","wikidata":"https://www.wikidata.org/wiki/Q252552","display_name":"Negentropy","level":3,"score":0.7231175899505615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.542464017868042},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47205573320388794},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4630489647388458},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42028310894966125},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.4141290485858917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3817567229270935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3679043650627136},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.366716206073761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3654102385044098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36149463057518005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3520964980125427},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.18987834453582764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17141443490982056},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001767","descriptor_name":"Blinking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001767","descriptor_name":"Blinking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001767","descriptor_name":"Blinking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1162/089976699300016719","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976699300016719","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:9950738","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/9950738","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.31.7467","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.7467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnl.salk.edu/~tewon/Blind/WWW/Public/nc97.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.77.4502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.4502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnl.salk.edu/~tewon/Public/nc97.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1339703","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1339703/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NEURAL COMPUTATION , 11 (2) pp. 417-441. (1999)","raw_type":"Article"},{"id":"pmh:oai:generic.eprints.org:1185265","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/1185265/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306082","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W123284734","https://openalex.org/W123758088","https://openalex.org/W1510095622","https://openalex.org/W1589277047","https://openalex.org/W1948800582","https://openalex.org/W1966537304","https://openalex.org/W1970789124","https://openalex.org/W1976147845","https://openalex.org/W1977067929","https://openalex.org/W1979850790","https://openalex.org/W1990007244","https://openalex.org/W1992105208","https://openalex.org/W1992408740","https://openalex.org/W1996355918","https://openalex.org/W2019502123","https://openalex.org/W2022852240","https://openalex.org/W2023004662","https://openalex.org/W2028838544","https://openalex.org/W2034283454","https://openalex.org/W2040671740","https://openalex.org/W2042524010","https://openalex.org/W2061209832","https://openalex.org/W2066614028","https://openalex.org/W2082195896","https://openalex.org/W2083716158","https://openalex.org/W2086726221","https://openalex.org/W2096789154","https://openalex.org/W2099111195","https://openalex.org/W2099741732","https://openalex.org/W2101185247","https://openalex.org/W2101303708","https://openalex.org/W2107423219","https://openalex.org/W2108384452","https://openalex.org/W2115000201","https://openalex.org/W2115562224","https://openalex.org/W2119647652","https://openalex.org/W2120728460","https://openalex.org/W2121614598","https://openalex.org/W2121807556","https://openalex.org/W2121996403","https://openalex.org/W2123649031","https://openalex.org/W2124757684","https://openalex.org/W2126472033","https://openalex.org/W2128967371","https://openalex.org/W2133069808","https://openalex.org/W2141330748","https://openalex.org/W2143132653","https://openalex.org/W2149239179","https://openalex.org/W2153302588","https://openalex.org/W2157765880","https://openalex.org/W2162398415","https://openalex.org/W2163183797","https://openalex.org/W2163678127","https://openalex.org/W2164360360","https://openalex.org/W2166159048","https://openalex.org/W2171944172","https://openalex.org/W2313039720","https://openalex.org/W3095130350","https://openalex.org/W4231370560"],"related_works":["https://openalex.org/W2181972346","https://openalex.org/W2348193061","https://openalex.org/W2159887805","https://openalex.org/W2382468436","https://openalex.org/W2389189059","https://openalex.org/W915513920","https://openalex.org/W2186169092","https://openalex.org/W2187251704","https://openalex.org/W2141940017","https://openalex.org/W1897700296"],"abstract_inverted_index":{"An":[0],"extension":[1],"of":[2,6,35,93,121],"the":[3,70,82,90,108,154],"infomax":[4,110],"algorithm":[5,111],"Bell":[7,75],"and":[8,23,57,76,88,95,102,142],"Sejnowski":[9,77],"(1995)":[10],"is":[11,14,79,112,133],"presented":[12],"that":[13,54,68,107,149],"able":[15,113],"blindly":[16],"to":[17,62,98,114,126],"separate":[18,115],"mixed":[19],"signals":[20,148],"with":[21,118],"sub-":[22,56,101],"supergaussian":[24,58,103],"source":[25,122],"distributions.":[26],"This":[27],"was":[28],"achieved":[29],"by":[30,40,43,74,85],"using":[31,81],"a":[32,47,64,119],"simple":[33,71],"type":[34],"learning":[36,66],"rule":[37,67],"first":[38],"derived":[39],"Girolami":[41],"(1997)":[42],"choosing":[44],"negentropy":[45],"as":[46,139],"projection":[48],"pursuit":[49],"index.":[50],"Parameterized":[51],"probability":[52],"distributions":[53,123],"have":[55],"regimes":[59],"were":[60],"used":[61],"derive":[63],"general":[65],"preserves":[69],"architecture":[72],"proposed":[73],"(1995),":[78],"optimized":[80],"natural":[83],"gradient":[84],"Amari":[86],"(1998),":[87],"uses":[89],"stability":[91],"analysis":[92],"Cardoso":[94],"Laheld":[96],"(1996)":[97],"switch":[99],"between":[100],"regimes.":[104],"We":[105],"demonstrate":[106],"extended":[109],"20":[116],"sources":[117,152],"variety":[120],"easily.":[124],"Applied":[125],"high-dimensional":[127],"data":[128],"from":[129,145,151],"electroencephalographic":[130],"recordings,":[131],"it":[132],"effective":[134],"at":[135],"separating":[136],"artifacts":[137],"such":[138],"eye":[140],"blinks":[141],"line":[143],"noise":[144],"weaker":[146],"electrical":[147],"arise":[150],"in":[153],"brain.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":46},{"year":2025,"cited_by_count":84},{"year":2024,"cited_by_count":99},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":62},{"year":2021,"cited_by_count":99},{"year":2020,"cited_by_count":79},{"year":2019,"cited_by_count":89},{"year":2018,"cited_by_count":97},{"year":2017,"cited_by_count":84},{"year":2016,"cited_by_count":71},{"year":2015,"cited_by_count":86},{"year":2014,"cited_by_count":86},{"year":2013,"cited_by_count":85},{"year":2012,"cited_by_count":76}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}