{"id":"https://openalex.org/W2606862087","doi":"https://doi.org/10.1145/3025453.3025576","title":"Inferring Cognitive Models from Data using Approximate Bayesian Computation","display_name":"Inferring Cognitive Models from Data using Approximate Bayesian Computation","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2606862087","doi":"https://doi.org/10.1145/3025453.3025576","mag":"2606862087"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3025576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025576&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3025576&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028671738","display_name":"Antti Kangasr\u00e4\u00e4si\u00f6","orcid":"https://orcid.org/0000-0001-6072-7787"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Antti Kangasr\u00e4\u00e4si\u00f6","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019998969","display_name":"Kumaripaba Athukorala","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kumaripaba Athukorala","raw_affiliation_strings":["Aalto University, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Helsinki, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103054759","display_name":"Andrew Howes","orcid":"https://orcid.org/0000-0003-4251-1127"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Howes","raw_affiliation_strings":["University of Birmingham, Birmingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013196979","display_name":"Jukka Corander","orcid":"https://orcid.org/0000-0002-7752-1942"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jukka Corander","raw_affiliation_strings":["University of Oslo, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018305257","display_name":"Samuel Kaski","orcid":"https://orcid.org/0000-0003-1925-9154"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Samuel Kaski","raw_affiliation_strings":["Aalto University, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Helsinki, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003084232","display_name":"Antti Oulasvirta","orcid":"https://orcid.org/0000-0002-2498-7837"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Antti Oulasvirta","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028671738"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":2.9064,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.91167681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1295","last_page":"1306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9843999743461609,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9843999743461609,"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/T10918","display_name":"Memory Processes and Influences","score":0.9828000068664551,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.8680750131607056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181685566902161},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6463658213615417},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6115906238555908},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5897191166877747},{"id":"https://openalex.org/keywords/cognitive-model","display_name":"Cognitive model","score":0.5751473903656006},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5276352763175964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5240744948387146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5223178267478943},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.49750497937202454},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.47719988226890564},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4442339539527893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.366985559463501},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23663559556007385},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08670178055763245},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08152636885643005}],"concepts":[{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.8680750131607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181685566902161},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6463658213615417},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6115906238555908},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5897191166877747},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.5751473903656006},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5276352763175964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5240744948387146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223178267478943},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.49750497937202454},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.47719988226890564},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4442339539527893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.366985559463501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23663559556007385},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08670178055763245},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08152636885643005},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3025453.3025576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025576&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1612.00653","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1612.00653","pdf_url":"https://arxiv.org/pdf/1612.00653","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/26523","is_oa":true,"landing_page_url":"https://aaltodoc.aalto.fi/handle/123456789/26523","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/450057ed-386b-4215-a53c-c1ae7f14923c","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/450057ed-386b-4215-a53c-c1ae7f14923c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kangasr\u00e4\u00e4si\u00f6, A, Athukorala, K, Howes, A, Corander, J, Kaski, S & Oulasvirta, A 2017, Inferring Cognitive Models from Data using Approximate Bayesian Computation. in CHI '17 - Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery , pp. 1295-1306, The 2017 CHI Conference on Human Factors in Computing Systems (CHI '17), Denver, Colorado, United States, 6/05/17. https://doi.org/10.1145/3025453.3025576","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1145/3025453.3025576","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025576","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025576&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1735143721","display_name":null,"funder_award_id":"915800, 294238 and 292334","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G3514550006","display_name":null,"funder_award_id":"Centre","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3593899435","display_name":null,"funder_award_id":"619435","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G4870159516","display_name":null,"funder_award_id":"637991","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5068041511","display_name":null,"funder_award_id":"Re:Know","funder_id":"https://openalex.org/F4320321855","funder_display_name":"Tekes"},{"id":"https://openalex.org/G5405967148","display_name":null,"funder_award_id":"5159/31/2014","funder_id":"https://openalex.org/F4320321855","funder_display_name":"Tekes"},{"id":"https://openalex.org/G5483342299","display_name":null,"funder_award_id":"FP7-ICT","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5498917553","display_name":null,"funder_award_id":"294238","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G7461231497","display_name":"Computational User Interface Design","funder_award_id":"637991","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7910537077","display_name":"Scalable ProactivE Event-Driven Decision making","funder_award_id":"619435","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7966353708","display_name":null,"funder_award_id":"292334","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8669072457","display_name":null,"funder_award_id":"637991","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320321855","display_name":"Tekes","ror":"https://ror.org/02ag8cq23"},{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320338370","display_name":"FP7 Information and Communication Technologies","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2606862087.pdf","grobid_xml":"https://content.openalex.org/works/W2606862087.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W55468208","https://openalex.org/W1713503745","https://openalex.org/W1731081199","https://openalex.org/W1742378130","https://openalex.org/W1759394199","https://openalex.org/W1892018222","https://openalex.org/W1965175390","https://openalex.org/W1967498673","https://openalex.org/W1968595779","https://openalex.org/W1991691398","https://openalex.org/W2013112874","https://openalex.org/W2018823572","https://openalex.org/W2019237106","https://openalex.org/W2021898394","https://openalex.org/W2026558133","https://openalex.org/W2032616735","https://openalex.org/W2061562262","https://openalex.org/W2064063320","https://openalex.org/W2064628483","https://openalex.org/W2082496272","https://openalex.org/W2082771245","https://openalex.org/W2089623033","https://openalex.org/W2092239409","https://openalex.org/W2098774185","https://openalex.org/W2101112214","https://openalex.org/W2101286810","https://openalex.org/W2109168899","https://openalex.org/W2111225992","https://openalex.org/W2115805759","https://openalex.org/W2116689067","https://openalex.org/W2117160827","https://openalex.org/W2121813011","https://openalex.org/W2127852655","https://openalex.org/W2135029100","https://openalex.org/W2144592607","https://openalex.org/W2151204864","https://openalex.org/W2160951757","https://openalex.org/W2163983793","https://openalex.org/W2165152490","https://openalex.org/W2166219296","https://openalex.org/W2169229156","https://openalex.org/W2312609093","https://openalex.org/W2401083166","https://openalex.org/W2914933231","https://openalex.org/W2964129402","https://openalex.org/W3205996923","https://openalex.org/W4238998169","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3012988968","https://openalex.org/W4287824571","https://openalex.org/W2971727066","https://openalex.org/W3113268434","https://openalex.org/W4362583294","https://openalex.org/W2966726156","https://openalex.org/W4242918646","https://openalex.org/W4289242714","https://openalex.org/W2902432378","https://openalex.org/W3205185019"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"for":[3,122],"HCI":[4,124],"researchers":[5],"is":[6,20],"to":[7,48,52,72,115],"estimate":[8],"the":[9,26,58],"parameter":[10,101,132],"values":[11,133],"of":[12,25,99,130],"a":[13,21,40,74,79],"cognitive":[14,75],"model":[15,50,76,100,108,131],"from":[16],"behavioral":[17,33],"data.":[18],"This":[19],"difficult":[22],"problem,":[23],"because":[24],"substantial":[27],"complexity":[28],"and":[29,54,88,110,134],"variety":[30],"in":[31],"human":[32],"strategies.":[34],"We":[35],"report":[36],"an":[37],"investigation":[38],"into":[39],"new":[41],"approach":[42],"using":[43],"approximate":[44],"Bayesian":[45],"computation":[46],"(ABC)":[47],"condition":[49],"parameters":[51,83],"data":[53,70],"prior":[55],"knowledge.":[56],"As":[57],"case":[59],"study":[60],"we":[61,66],"examine":[62],"menu":[63],"interaction,":[64],"where":[65],"have":[67],"click":[68],"time":[69],"only":[71],"infer":[73],"that":[77,94],"implements":[78],"search":[80],"behaviour":[81],"with":[82],"such":[84],"as":[85],"fixation":[86],"duration":[87],"recall":[89],"probability.":[90],"Our":[91],"results":[92],"demonstrate":[93],"ABC":[95,118],"(i)":[96],"improves":[97],"estimates":[98],"values,":[102],"(ii)":[103],"enables":[104],"meaningful":[105],"comparisons":[106],"between":[107],"variants,":[109],"(iii)":[111],"supports":[112],"fitting":[113],"models":[114],"individual":[116],"users.":[117],"provides":[119],"ample":[120],"opportunities":[121],"theoretical":[123],"research":[125],"by":[126],"allowing":[127],"principled":[128],"inference":[129],"their":[135],"uncertainty.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2020-11-23T00:00:00"}
