{"id":"https://openalex.org/W2920971266","doi":"https://doi.org/10.1109/tbme.2019.2903012","title":"A Novel Framework for Estimating Time-Varying Multivariate Autoregressive Models and Application to Cardiovascular Responses to Acute Exercise","display_name":"A Novel Framework for Estimating Time-Varying Multivariate Autoregressive Models and Application to Cardiovascular Responses to Acute Exercise","publication_year":2019,"publication_date":"2019-03-05","ids":{"openalex":"https://openalex.org/W2920971266","doi":"https://doi.org/10.1109/tbme.2019.2903012","mag":"2920971266","pmid":"https://pubmed.ncbi.nlm.nih.gov/30843796"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2019.2903012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2019.2903012","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","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/A5009376743","display_name":"Kyriaki Kostoglou","orcid":"https://orcid.org/0000-0002-3513-9286"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kyriaki Kostoglou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McGill University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3513-9286","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021937139","display_name":"Andrew D. Robertson","orcid":"https://orcid.org/0000-0002-9095-9877"},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrew D. Robertson","raw_affiliation_strings":["University of Toronto","Sunnybrook Research Institute, University of Toronto"],"raw_orcid":"https://orcid.org/0000-0002-9095-9877","affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Sunnybrook Research Institute, University of Toronto","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024494721","display_name":"Bradley J. MacIntosh","orcid":"https://orcid.org/0000-0001-7300-2355"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bradley J. MacIntosh","raw_affiliation_strings":["University of Toronto"],"raw_orcid":"https://orcid.org/0000-0001-7300-2355","affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062820435","display_name":"Georgios D. Mitsis","orcid":"https://orcid.org/0000-0001-9975-5128"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Georgios D. Mitsis","raw_affiliation_strings":["Department of Bioengineering, McGill University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9975-5128","affiliations":[{"raw_affiliation_string":"Department of Bioengineering, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9524,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87527883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"66","issue":"11","first_page":"3257","last_page":"3266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.7034000158309937,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.7034000158309937,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.03849999979138374,"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/T11236","display_name":"Control Systems and Identification","score":0.020500000566244125,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7072030901908875},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.5941948890686035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931930541992188},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5565069317817688},{"id":"https://openalex.org/keywords/autoregressive-conditional-heteroskedasticity","display_name":"Autoregressive conditional heteroskedasticity","score":0.524011492729187},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.49549996852874756},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.43393296003341675},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4148171544075012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4034477472305298},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2950969934463501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2181222140789032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2177102267742157},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.20664876699447632}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7072030901908875},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.5941948890686035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931930541992188},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5565069317817688},{"id":"https://openalex.org/C23922673","wikidata":"https://www.wikidata.org/wiki/Q180752","display_name":"Autoregressive conditional heteroskedasticity","level":3,"score":0.524011492729187},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.49549996852874756},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.43393296003341675},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4148171544075012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4034477472305298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2950969934463501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2181222140789032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2177102267742157},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.20664876699447632},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"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":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015444","descriptor_name":"Exercise","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015444","descriptor_name":"Exercise","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015444","descriptor_name":"Exercise","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2019.2903012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2019.2903012","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:30843796","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30843796","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2510329497","display_name":null,"funder_award_id":"34362","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W87827335","https://openalex.org/W436745719","https://openalex.org/W1860935432","https://openalex.org/W1965948939","https://openalex.org/W1978596048","https://openalex.org/W1980480824","https://openalex.org/W1982192428","https://openalex.org/W1992259561","https://openalex.org/W1999996900","https://openalex.org/W2001199873","https://openalex.org/W2002209067","https://openalex.org/W2007436485","https://openalex.org/W2009914532","https://openalex.org/W2013253202","https://openalex.org/W2019002733","https://openalex.org/W2019935623","https://openalex.org/W2023917615","https://openalex.org/W2028920842","https://openalex.org/W2030313485","https://openalex.org/W2032793274","https://openalex.org/W2034398683","https://openalex.org/W2036584331","https://openalex.org/W2038903487","https://openalex.org/W2039438951","https://openalex.org/W2041513336","https://openalex.org/W2043691120","https://openalex.org/W2047952935","https://openalex.org/W2048078386","https://openalex.org/W2061768649","https://openalex.org/W2064386740","https://openalex.org/W2072440482","https://openalex.org/W2074299654","https://openalex.org/W2074501647","https://openalex.org/W2077519602","https://openalex.org/W2080690921","https://openalex.org/W2085142353","https://openalex.org/W2085319761","https://openalex.org/W2094227853","https://openalex.org/W2097210699","https://openalex.org/W2099794087","https://openalex.org/W2102557862","https://openalex.org/W2104731571","https://openalex.org/W2105710559","https://openalex.org/W2106546737","https://openalex.org/W2111772099","https://openalex.org/W2120303646","https://openalex.org/W2121513563","https://openalex.org/W2125885409","https://openalex.org/W2132569683","https://openalex.org/W2132739442","https://openalex.org/W2136219936","https://openalex.org/W2136503561","https://openalex.org/W2137680378","https://openalex.org/W2140222877","https://openalex.org/W2142635246","https://openalex.org/W2142875089","https://openalex.org/W2144048443","https://openalex.org/W2144704430","https://openalex.org/W2145479420","https://openalex.org/W2151051991","https://openalex.org/W2151100203","https://openalex.org/W2153825915","https://openalex.org/W2157875984","https://openalex.org/W2160694091","https://openalex.org/W2161476879","https://openalex.org/W2162421089","https://openalex.org/W2166843422","https://openalex.org/W2170358948","https://openalex.org/W2171328451","https://openalex.org/W2202187426","https://openalex.org/W2285072859","https://openalex.org/W2294213168","https://openalex.org/W2534093863","https://openalex.org/W2609728307","https://openalex.org/W2808484379","https://openalex.org/W2894788163","https://openalex.org/W2947626232","https://openalex.org/W2963181702","https://openalex.org/W2963311760","https://openalex.org/W3135764289","https://openalex.org/W4295151080","https://openalex.org/W4309573086","https://openalex.org/W4407838580","https://openalex.org/W6603520201","https://openalex.org/W6687639317","https://openalex.org/W6755113980"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W1608601224","https://openalex.org/W2017138702","https://openalex.org/W1978494725","https://openalex.org/W2776656900","https://openalex.org/W1968843728","https://openalex.org/W2031589205","https://openalex.org/W3029813487"],"abstract_inverted_index":{"OBJECTIVE:":[0],"We":[1,63,173,198],"present":[2],"a":[3,50,99],"novel":[4],"modeling":[5,223],"framework":[6,130,224],"for":[7,157],"identifying":[8],"time-varying":[9],"(TV)":[10],"couplings":[11,35,232],"between":[12,36,233],"time-series":[13],"of":[14,87,150,164,169,245],"biomedical":[15],"relevance.":[16],"METHODS:":[17],"The":[18,221],"proposed":[19,129,222],"methodology":[20],"is":[21,236],"based":[22],"on":[23,103,209],"multivariate":[24],"autoregressive":[25],"(MVAR)":[26],"models,":[27],"which":[28],"have":[29],"been":[30],"extensively":[31],"used":[32,227],"to":[33,39,56,116,137,178,228],"study":[34],"biosignals.":[37,234],"Contrary":[38],"the":[40,60,85,104,118,128,138,143,165,170,210,246],"standard":[41],"estimation":[42],"methods":[43],"that":[44,127,203],"assume":[45],"time-invariant":[46],"relationships,":[47],"we":[48,83,125,159],"propose":[49],"modified":[51],"recursive":[52],"Kalman":[53],"filter":[54],"(KF)":[55],"track":[57],"changes":[58,94],"in":[59,185],"model":[61,65],"parameters.":[62],"perform":[64],"order":[66],"selection":[67],"and":[68,78,167,187,239],"hyperparameter":[69],"optimization":[70],"simultaneously":[71],"using":[72,109],"Genetic":[73],"Algorithms,":[74],"greatly":[75],"improving":[76],"accuracy":[77],"computation":[79],"time.":[80,153],"In":[81],"addition,":[82],"address":[84],"effect":[86],"residual":[88],"heteroscedasticity,":[89],"possibly":[90],"associated":[91],"with":[92,195,214],"event-related":[93],"or":[95],"phase":[96],"transitions":[97],"during":[98,183],"given":[100],"experimental":[101],"protocol,":[102],"TV-MVAR":[105,119],"coupling":[106,201],"measures":[107],"by":[108,155],"Generalized":[110],"Autoregressive":[111],"Conditional":[112],"Heteroskedasticity":[113],"(GARCH)":[114],"models":[115],"fit":[117],"residuals.":[120],"RESULTS:":[121],"Using":[122],"simulated":[123],"data,":[124],"show":[126],"yields":[131],"more":[132,161],"accurate":[133,162],"parameter":[134],"estimates":[135,163],"compared":[136],"conventional":[139],"KF,":[140],"particularly":[141],"when":[142],"true":[144],"system":[145,247],"parameters":[146],"exhibit":[147],"different":[148],"rate":[149],"variations":[151],"over":[152],"Furthermore,":[154],"accounting":[156],"heteroskedasticity,":[158],"obtain":[160],"strength":[166],"directionality":[168],"underlying":[171,211],"couplings.":[172],"also":[174],"use":[175],"our":[176],"approach":[177],"investigate":[179],"TV":[180,200,231,248],"hemodynamic":[181],"interactions":[182],"exercise":[184],"young":[186],"old":[188],"healthy":[189],"adults,":[190],"as":[191,193],"well":[192,205],"individuals":[194],"chronic":[196],"stroke.":[197],"extract":[199],"patterns":[202],"reflect":[204],"known":[206],"exercise-induced":[207],"effects":[208],"regulatory":[212],"mechanisms":[213],"excellent":[215],"time":[216],"resolution.":[217],"CONCLUSION":[218],"AND":[219],"SIGNIFICANCE:":[220],"can":[225],"be":[226],"efficiently":[229],"quantify":[230],"It":[235],"fully":[237],"automated":[238],"does":[240],"not":[241],"require":[242],"prior":[243],"knowledge":[244],"characteristics.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
