{"id":"https://openalex.org/W2610325049","doi":"https://doi.org/10.1186/s13634-017-0505-9","title":"MapReduce particle filtering with exact resampling and deterministic runtime","display_name":"MapReduce particle filtering with exact resampling and deterministic runtime","publication_year":2017,"publication_date":"2017-10-18","ids":{"openalex":"https://openalex.org/W2610325049","doi":"https://doi.org/10.1186/s13634-017-0505-9","mag":"2610325049","pmid":"https://pubmed.ncbi.nlm.nih.gov/32010202"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-017-0505-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0505-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0505-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0505-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008605990","display_name":"Jeyan Thiyagalingam","orcid":"https://orcid.org/0000-0002-2167-1343"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeyarajan Thiyagalingam","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052191861","display_name":"Lykourgos Kekempanos","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lykourgos Kekempanos","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ, UK","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083636287"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":1.1369,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84049805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2017","issue":"1","first_page":"71","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994000196456909,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994000196456909,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9961000084877014,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.849642276763916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7588711380958557},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6973724365234375},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6724470257759094},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6688622832298279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5311324000358582},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5192875266075134},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.45128968358039856},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.44573262333869934},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4242402911186218},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3919217586517334},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3824770152568817},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.333163321018219},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.27829626202583313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17563968896865845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16142863035202026},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.14988523721694946}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.849642276763916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588711380958557},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6973724365234375},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6724470257759094},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6688622832298279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5311324000358582},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5192875266075134},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.45128968358039856},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.44573262333869934},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4242402911186218},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3919217586517334},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3824770152568817},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.333163321018219},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.27829626202583313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17563968896865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16142863035202026},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.14988523721694946},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1186/s13634-017-0505-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0505-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0505-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmid:32010202","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32010202","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":"EURASIP journal on advances in signal processing","raw_type":null},{"id":"pmh:oai:arXiv.org:1705.01660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.01660","pdf_url":"https://arxiv.org/pdf/1705.01660","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:doaj.org/article:525b8401bb514adb84d7f442a686963c","is_oa":true,"landing_page_url":"https://doaj.org/article/525b8401bb514adb84d7f442a686963c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-23 (2017)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6959401","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6959401","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP J Adv Signal Process","raw_type":"Text"},{"id":"pmh:oai:purl.org/net/epubs:work/43180273","is_oa":false,"landing_page_url":"http://purl.org/net/epubs/work/43180273","pdf_url":null,"source":{"id":"https://openalex.org/S4306400334","display_name":"Science and Technology Facilities Council","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":"Text"}],"best_oa_location":{"id":"doi:10.1186/s13634-017-0505-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-017-0505-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-017-0505-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5167830681","display_name":null,"funder_award_id":"1556561","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334632","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2610325049.pdf","grobid_xml":"https://content.openalex.org/works/W2610325049.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1123101191","https://openalex.org/W1595783387","https://openalex.org/W1792966054","https://openalex.org/W1932940155","https://openalex.org/W1965741889","https://openalex.org/W1985449099","https://openalex.org/W1990583874","https://openalex.org/W1999674105","https://openalex.org/W2007118171","https://openalex.org/W2020580827","https://openalex.org/W2033057584","https://openalex.org/W2034380729","https://openalex.org/W2039417226","https://openalex.org/W2040196349","https://openalex.org/W2040907046","https://openalex.org/W2045227392","https://openalex.org/W2057487175","https://openalex.org/W2077611006","https://openalex.org/W2082357899","https://openalex.org/W2098613108","https://openalex.org/W2119539043","https://openalex.org/W2121456247","https://openalex.org/W2124499489","https://openalex.org/W2126574351","https://openalex.org/W2126736494","https://openalex.org/W2131975293","https://openalex.org/W2135433300","https://openalex.org/W2141389982","https://openalex.org/W2141585124","https://openalex.org/W2145508367","https://openalex.org/W2159306970","https://openalex.org/W2160337655","https://openalex.org/W2160584648","https://openalex.org/W2161406034","https://openalex.org/W2167544872","https://openalex.org/W2173213060","https://openalex.org/W2286526003","https://openalex.org/W2545985787","https://openalex.org/W3144647375"],"related_works":["https://openalex.org/W3144709167","https://openalex.org/W1824810860","https://openalex.org/W2368144031","https://openalex.org/W2355962871","https://openalex.org/W2162253570","https://openalex.org/W2758742130","https://openalex.org/W2126226614","https://openalex.org/W2406829934","https://openalex.org/W2862160893","https://openalex.org/W2376126247"],"abstract_inverted_index":{"Particle":[0],"filtering":[1],"is":[2,37,47],"a":[3,48,58,95,103,110,120,160],"numerical":[4],"Bayesian":[5],"technique":[6],"that":[7,52,105],"has":[8,78,130],"great":[9],"potential":[10],"for":[11],"solving":[12],"sequential":[13],"estimation":[14,23],"problems":[15],"involving":[16],"non-linear":[17],"and":[18,137,155],"non-Gaussian":[19],"models.":[20],"Since":[21],"the":[22,31,68,115,149],"accuracy":[24],"achieved":[25],"by":[26],"particle":[27,71,83,96,161],"filters":[28,72,84],"improves":[29],"as":[30,41,44],"number":[32],"of":[33,61,70,94,123,151,159],"particles":[34,43,166],"increases,":[35],"it":[36,54],"natural":[38],"to":[39,56,63,81,112],"consider":[40],"many":[42,74],"possible.":[45],"MapReduce":[46],"generic":[49],"programming":[50],"model":[51],"makes":[53],"possible":[55],"scale":[57],"wide":[59],"variety":[60],"algorithms":[62],"Big":[64],"data.":[65],"However,":[66],"despite":[67],"application":[69],"across":[73,169],"domains,":[75],"little":[76],"attention":[77],"been":[79],"devoted":[80],"implementing":[82],"using":[85,98],"MapReduce.":[86,99],"In":[87],"this":[88,124,152],"paper,":[89],"we":[90],"describe":[91],"an":[92],"implementation":[93,122],"filter":[97,162],"We":[100,118],"focus":[101],"on":[102],"component":[104,154],"what":[106],"would":[107],"otherwise":[108],"be":[109],"bottleneck":[111],"parallel":[113],"execution,":[114],"resampling":[116],"component.":[117],"devise":[119],"new":[121,153],"component,":[125],"which":[126],"requires":[127],"no":[128],"approximations,":[129],"O":[131,139],"(":[132],"N":[133,141],")":[134,142,144],"spatial":[135],"complexity":[136],"deterministic":[138],"((log":[140],"2":[143,164],"time":[145],"complexity.":[146],"Results":[147],"demonstrate":[148],"utility":[150],"culminate":[156],"in":[157],"consideration":[158],"with":[163],"24":[165],"being":[167],"distributed":[168],"512":[170],"processor":[171],"cores.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}