{"id":"https://openalex.org/W4392861943","doi":"https://doi.org/10.3390/ijgi13030096","title":"Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-Pixel Accuracy: Application to Digital Elevation Models","display_name":"Best BiCubic Method to Compute the Planimetric Misregistration between Images with Sub-Pixel Accuracy: Application to Digital Elevation Models","publication_year":2024,"publication_date":"2024-03-15","ids":{"openalex":"https://openalex.org/W4392861943","doi":"https://doi.org/10.3390/ijgi13030096"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi13030096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030096","pdf_url":"https://www.mdpi.com/2220-9964/13/3/96/pdf?version=1710516621","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/13/3/96/pdf?version=1710516621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075101369","display_name":"Serge Riazanoff","orcid":"https://orcid.org/0000-0001-6399-7299"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Serge Riazanoff","raw_affiliation_strings":["VisioTerra, 14 Rue Albert Einstein, 77420 Champs-sur-Marne, France"],"raw_orcid":"https://orcid.org/0000-0001-6399-7299","affiliations":[{"raw_affiliation_string":"VisioTerra, 14 Rue Albert Einstein, 77420 Champs-sur-Marne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093964880","display_name":"Axel Corseaux","orcid":"https://orcid.org/0009-0009-4960-7472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Axel Corseaux","raw_affiliation_strings":["VisioTerra, 14 Rue Albert Einstein, 77420 Champs-sur-Marne, France"],"raw_orcid":"https://orcid.org/0009-0009-4960-7472","affiliations":[{"raw_affiliation_string":"VisioTerra, 14 Rue Albert Einstein, 77420 Champs-sur-Marne, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076984668","display_name":"C. Albinet","orcid":"https://orcid.org/0000-0003-4138-4939"},"institutions":[{"id":"https://openalex.org/I4210165017","display_name":"European Space Research Institute","ror":"https://ror.org/05vt9rv16","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2801994115","https://openalex.org/I4210165017"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Albinet","raw_affiliation_strings":["European Space Agency, ESRIN, Via Galileo Galilei, 1, 00044 Frascati, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Space Agency, ESRIN, Via Galileo Galilei, 1, 00044 Frascati, Italy","institution_ids":["https://openalex.org/I4210165017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067599951","display_name":"Peter Strobl","orcid":"https://orcid.org/0000-0003-2733-1822"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Peter A. Strobl","raw_affiliation_strings":["European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627497","display_name":"Carlos L\u00f3pez-V\u00e1zquez","orcid":"https://orcid.org/0000-0002-8444-1510"},"institutions":[{"id":"https://openalex.org/I4210147939","display_name":"Universidad ORT Uruguay","ror":"https://ror.org/03ypykr22","country_code":"UY","type":"education","lineage":["https://openalex.org/I4210147939"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Carlos L\u00f3pez-V\u00e1zquez","raw_affiliation_strings":["LatinGEO Lab IGM+ORT, Universidad ORT Uruguay, Montevideo 11100, Uruguay"],"raw_orcid":"https://orcid.org/0000-0002-8444-1510","affiliations":[{"raw_affiliation_string":"LatinGEO Lab IGM+ORT, Universidad ORT Uruguay, Montevideo 11100, Uruguay","institution_ids":["https://openalex.org/I4210147939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062415171","display_name":"Peter L. Guth","orcid":"https://orcid.org/0000-0002-6150-542X"},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter L. Guth","raw_affiliation_strings":["Department of Oceanography, US Naval Academy, Annapolis, MD 21402, USA"],"raw_orcid":"https://orcid.org/0000-0002-6150-542X","affiliations":[{"raw_affiliation_string":"Department of Oceanography, US Naval Academy, Annapolis, MD 21402, USA","institution_ids":["https://openalex.org/I189158971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003863167","display_name":"Takeo Tadono","orcid":"https://orcid.org/0000-0003-4313-5645"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Tadono","raw_affiliation_strings":["Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba City 305-8505, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4313-5645","affiliations":[{"raw_affiliation_string":"Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba City 305-8505, Japan","institution_ids":["https://openalex.org/I2800865746"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075101369"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.8983,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7059237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"3","first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.8339428901672363},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.7403318881988525},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.6196690797805786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6037894487380981},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5863569974899292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754358768463135},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5400974750518799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142356753349304},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46999630331993103},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2854682505130768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1779874563217163},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.13402199745178223},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.1207108199596405},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08422085642814636}],"concepts":[{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.8339428901672363},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.7403318881988525},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.6196690797805786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6037894487380981},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5863569974899292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754358768463135},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5400974750518799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142356753349304},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46999630331993103},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2854682505130768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1779874563217163},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.13402199745178223},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.1207108199596405},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08422085642814636}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi13030096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030096","pdf_url":"https://www.mdpi.com/2220-9964/13/3/96/pdf?version=1710516621","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41bd7f1e9178491482d80f89e66144d9","is_oa":true,"landing_page_url":"https://doaj.org/article/41bd7f1e9178491482d80f89e66144d9","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":"ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 96 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi13030096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030096","pdf_url":"https://www.mdpi.com/2220-9964/13/3/96/pdf?version=1710516621","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392861943.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1983513512","https://openalex.org/W2009994283","https://openalex.org/W2019024436","https://openalex.org/W2065628492","https://openalex.org/W2066815131","https://openalex.org/W2079235099","https://openalex.org/W2136113379","https://openalex.org/W2157494358","https://openalex.org/W2489676819","https://openalex.org/W2916502776","https://openalex.org/W3041691603","https://openalex.org/W3180225402","https://openalex.org/W3198113718","https://openalex.org/W4200097268","https://openalex.org/W4281390603","https://openalex.org/W4386137630"],"related_works":["https://openalex.org/W3148155918","https://openalex.org/W2462682329","https://openalex.org/W4206741056","https://openalex.org/W3040595263","https://openalex.org/W1621772017","https://openalex.org/W4239147863","https://openalex.org/W2909855017","https://openalex.org/W2352163239","https://openalex.org/W2264981486","https://openalex.org/W4210419302"],"abstract_inverted_index":{"In":[0],"recent":[1],"decades,":[2],"an":[3,197,242],"important":[4,172],"number":[5],"of":[6,27,52,146,164,230,296,338,346,351,361,368,400,445,454],"regional":[7],"and":[8,34,73,115,321,395,431,466,498],"global":[9,123],"digital":[10],"elevation":[11],"models":[12,29],"(DEMs)":[13],"have":[14,218,235,284,380],"been":[15,220,236,257,285,381],"released":[16],"publicly.":[17],"As":[18],"a":[19,170,186,248,356,376,398,455,477,519,532,537],"consequence,":[20],"researchers":[21],"need":[22,62],"to":[23,30,35,42,63,97,110,133,141,174,184,294,342,502,516,535],"choose":[24],"between":[25,393,462,506],"several":[26],"these":[28,37,112,118],"perform":[31,111],"their":[32],"studies":[33],"use":[36],"DEMs":[38,53,61],"as":[39,153,375],"third-party":[40],"data":[41,210],"compute":[43,536],"derived":[44,150],"products":[45,151],"(e.g.,":[46],"for":[47,426],"orthorectification).":[48],"However,":[49],"the":[50,67,76,82,88,98,162,179,191,208,214,223,228,297,301,316,322,328,332,344,347,352,362,366,369,384,389,406,415,442,446,452,463,467,489,493,504,528],"comparison":[51],"is":[54,168,203,280,341,412,424,441,496],"not":[55,312],"trivial.":[56],"For":[57,402],"most":[58],"quantitative":[59],"comparisons,":[60],"be":[64,80,128,500,514],"expressed":[65],"in":[66,144,222,241,251,259,304,308,315,331,383,433,472,531],"same":[68,77,83,89,99],"coordinate":[69],"reference":[70,101],"system":[71,102],"(CRS)":[72],"sampled":[74],"over":[75],"grid":[78,246],"(i.e.,":[79],"at":[81,355],"ground":[84],"sampling":[85],"distance":[86,357],"with":[87,94,247,287],"pixel-is-area":[90],"or":[91,122,137,149,156],"pixel-is-point":[92],"convention)":[93],"heights":[95],"relative":[96],"vertical":[100],"(VRS).":[103],"Thankfully,":[104],"many":[105],"open":[106],"tools":[107],"allow":[108],"us":[109],"transformations":[113],"precisely":[114],"easily.":[116],"Despite":[117],"rigorous":[119],"transformations,":[120],"local":[121,529,538],"planimetric":[124,166],"displacements":[125,136,234,283,505],"may":[126,139,499,512],"still":[127],"observed":[129],"from":[130,292,414,450,492],"one":[131],"DEM":[132,147,165],"another.":[134],"These":[135,306],"disparities":[138],"lead":[140],"significant":[142],"biases":[143],"comparisons":[145],"elevations":[148],"such":[152],"slope,":[154],"aspect,":[155],"curvature.":[157],"Therefore,":[158],"before":[159],"any":[160],"comparison,":[161],"control":[163],"accuracy":[167,188,278,367],"certainly":[169],"very":[171],"task":[173],"perform.":[175],"This":[176,200,420,510],"paper":[177,340],"presents":[178],"disparity":[180,224],"analysis":[181,460],"method":[182,202,255,279],"enhanced":[183],"achieve":[185],"sub-pixel":[187,277],"by":[189,397],"interpolating":[190],"linear":[192],"regression":[193,459,485],"coefficients":[194,216],"computed":[195,221,449,471],"within":[196],"exploration":[198],"window.":[199],"new":[201,276],"significantly":[204],"faster":[205],"than":[206],"oversampling":[207],"input":[209],"because":[211],"it":[212],"uses":[213],"correlation":[215,479],"that":[217,525],"already":[219],"analysis.":[225],"To":[226],"demonstrate":[227],"robustness":[229],"this":[231,275,339],"algorithm,":[232],"artificial":[233],"introduced":[237],"through":[238],"bicubic":[239,348,390,408],"interpolation":[240],"11":[243,245,317,319],"\u00d7":[244,264,318],"0.1-pixel":[249],"step":[250,399],"both":[252],"directionsThis":[253],"validation":[254],"has":[256],"applied":[258,501],"four":[260,385,416],"approximately":[261],"10":[262,265],"km":[263,266],"DEMIX":[267,386,404,474],"tiles":[268,475],"showing":[269],"different":[270,333,508],"roughness":[271,329,439,464,494,530],"(height":[272],"distribution).":[273],"Globally,":[274],"robust.":[281],"Artificial":[282],"retrieved":[286],"typical":[288],"errors":[289,307],"(eb)":[290],"ranging":[291],"12":[293],"20%":[295],"pixel":[298],"size":[299],"(with":[300],"worst":[302],"case":[303],"Croatia).":[305],"displacement":[309,370],"retrievals":[310],"are":[311],"equally":[313],"distributed":[314],"grid,":[320],"overall":[323],"error":[324],"Eb":[325,374,417],"depends":[326],"on":[327,365],"encountered":[330],"tiles.":[334],"The":[335,438,483],"second":[336],"aim":[337],"assess":[343],"impact":[345],"parameter":[349,391,410,422,469,491],"(slope":[350],"weight":[353],"function":[354],"d":[358],"=":[359,481],"1":[360],"interpolated":[363,413],"point)":[364],"retrieval.":[371],"By":[372],"considering":[373],"quality":[377],"indicator,":[378],"tests":[379],"performed":[382,461],"tiles,":[387],"making":[388],"vary":[392],"\u22121.5":[394],"0.0":[396],"0.1.":[401],"each":[403],"tile,":[405],"best":[407],"(BBC)":[409],"b*":[411,423,470],"minimal":[418],"values.":[419],"BBC":[421,468,490,539],"low":[425],"flat":[427],"areas":[428,435],"(around":[429,436],"\u22120.95)":[430],"higher":[432],"mountainous":[434],"\u22120.75).":[437],"indicator":[440,465,495],"standard":[443],"deviation":[444],"slope":[447],"norms":[448],"all":[451],"pixels":[453],"tile.":[456],"A":[457],"logarithmic":[458,484],"67":[473],"shows":[476],"high":[478],"(r":[480],"0.717).":[482],"formula":[486,511],"b~\u03c3slope":[487],"estimating":[488],"generic":[497],"estimate":[503,527],"two":[507],"DEMs.":[509],"also":[513],"used":[515],"set":[517],"up":[518],"future":[520],"Adaptative":[521],"Best":[522],"BiCubic":[523],"(ABBC)":[524],"will":[526],"sliding":[533],"window":[534],"b~.":[540]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
