{"id":"https://openalex.org/W2963772667","doi":"https://doi.org/10.1109/cdc.2016.7799127","title":"Information-based Active SLAM via topological feature graphs","display_name":"Information-based Active SLAM via topological feature graphs","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2963772667","doi":"https://doi.org/10.1109/cdc.2016.7799127","mag":"2963772667"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7799127","doi":"https://doi.org/10.1109/cdc.2016.7799127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799127","pdf_url":null,"source":{"id":"https://openalex.org/S4210221977","display_name":"Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes","issn_l":"0191-2216","issn":["0191-2216"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1509.08155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012917763","display_name":"Beipeng Mu","orcid":"https://orcid.org/0009-0000-9240-7964","observed_orcids":["https://orcid.org/0009-0000-9240-7964"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beipeng Mu","raw_affiliation_strings":["Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016960644","display_name":"Matthew Giamou","orcid":"https://orcid.org/0000-0003-2680-9791","observed_orcids":["https://orcid.org/0000-0003-2680-9791"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Giamou","raw_affiliation_strings":["Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037065865","display_name":"Liam Paull","orcid":"https://orcid.org/0000-0003-2492-6660","observed_orcids":["https://orcid.org/0000-0003-2492-6660"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liam Paull","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042186658","display_name":"Ali\u2013akbar Agha\u2013mohammadi","orcid":"https://orcid.org/0000-0001-5509-1841","observed_orcids":["https://orcid.org/0000-0001-5509-1841"]},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali-akbar Agha-mohammadi","raw_affiliation_strings":["Qualcomm Research, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qualcomm Research, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110293164","display_name":"John J. Leonard","orcid":"https://orcid.org/0000-0002-8863-6550","observed_orcids":["https://orcid.org/0000-0002-8863-6550"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Leonard","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011665886","display_name":"Jonathan P. How","orcid":"https://orcid.org/0000-0001-8576-1930","observed_orcids":["https://orcid.org/0000-0001-8576-1930"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan How","raw_affiliation_strings":["Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.819,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.97274257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5583","last_page":"5590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10586","display_name":"Robotic Path Planning Algorithms","score":9.999999747378752e-05,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0,"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/active-slam","display_name":"active SLAM","score":0.9940000176429749},{"id":"https://openalex.org/keywords/robotic-exploration","display_name":"robot exploration","score":0.6029999852180481},{"id":"https://openalex.org/keywords/map-refinement","display_name":"map refinement","score":0.4580000042915344},{"id":"https://openalex.org/keywords/exploration-exploitation-trade-off","display_name":"exploration-exploitation balance","score":0.8349999785423279},{"id":"https://openalex.org/keywords/entropy-measures","display_name":"entropy measures","score":0.8230000138282776},{"id":"https://openalex.org/keywords/probabilistic-roadmaps","display_name":"probabilistic roadmaps","score":0.8600000143051147},{"id":"https://openalex.org/keywords/mobile-robot-path-planning","display_name":"mobile robot path planning","score":0.7300000190734863},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.4519999921321869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319173812866211},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.7013056874275208},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.6825908422470093},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6157322525978088},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6036904454231262},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5709640979766846},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5330829620361328},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.532432496547699},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5173232555389404},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4853038191795349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.456524521112442},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43553104996681213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4317762851715088},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33922260999679565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22840768098831177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12595507502555847},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc.2016.7799127","doi":"https://doi.org/10.1109/cdc.2016.7799127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799127","pdf_url":null,"source":{"id":"https://openalex.org/S4210221977","display_name":"Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes","issn_l":"0191-2216","issn":["0191-2216"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1509.08155","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.08155","pdf_url":"https://arxiv.org/pdf/1509.08155","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,"listed_in":[],"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:dspace.mit.edu:1721.1/123811","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/123811","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Beipeng Mu","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"doi:10.48550/arxiv.1509.08155","doi":"https://doi.org/10.48550/arxiv.1509.08155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1509.08155","pdf_url":null,"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,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1509.08155","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.08155","pdf_url":"https://arxiv.org/pdf/1509.08155","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,"listed_in":[],"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"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1261808637","display_name":null,"funder_award_id":"N000141110688","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G4443051876","display_name":"RI: Small: Robust and Long-Term Visual Mapping and Localization","funder_award_id":"1318392","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4793493537","display_name":null,"funder_award_id":"N00014-11-1-0688","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G862988727","display_name":null,"funder_award_id":"W911NF-11","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G932903589","display_name":null,"funder_award_id":"W911NF-11-1-0391","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1535541145","https://openalex.org/W1684737195","https://openalex.org/W1866250967","https://openalex.org/W1988757690","https://openalex.org/W1995875735","https://openalex.org/W1999131722","https://openalex.org/W2002201291","https://openalex.org/W2020569159","https://openalex.org/W2033051917","https://openalex.org/W2053833381","https://openalex.org/W2069654231","https://openalex.org/W2069664630","https://openalex.org/W2080823437","https://openalex.org/W2096649264","https://openalex.org/W2107667896","https://openalex.org/W2109850682","https://openalex.org/W2130422193","https://openalex.org/W2132622790","https://openalex.org/W2151688111","https://openalex.org/W2161123599","https://openalex.org/W2168992242","https://openalex.org/W2172103629","https://openalex.org/W2283534560"],"related_works":["https://openalex.org/W2130588278","https://openalex.org/W2140013578","https://openalex.org/W2551663027","https://openalex.org/W3130035014","https://openalex.org/W1750372561","https://openalex.org/W3097864550","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W2132105173","https://openalex.org/W1980828932"],"abstract_inverted_index":{"Exploring":[0],"an":[1,39,94],"unknown":[2,40],"space":[3],"and":[4,42,54,74,92,110,117,130,136,174],"building":[5],"maps":[6],"is":[7,47,142],"a":[8,83,112,121,128,162],"fundamental":[9],"capability":[10],"for":[11],"mobile":[12],"robots.":[13],"For":[14],"fully":[15],"autonomous":[16],"systems,":[17],"the":[18,44,155],"robot":[19,34,146],"would":[20],"further":[21],"need":[22],"to":[23,36,49,144],"actively":[24,37],"plan":[25],"its":[26],"paths":[27,64,147],"during":[28],"exploration.":[29],"The":[30,100],"problem":[31],"of":[32,115,170],"designing":[33],"trajectories":[35],"explore":[38],"environment":[41],"minimize":[43],"map":[45,134],"error":[46],"referred":[48],"as":[50],"active":[51,95],"simultaneous":[52],"localization":[53],"mapping":[55],"(active":[56],"SLAM).":[57],"Existing":[58],"work":[59,81],"has":[60],"focused":[61],"on":[62],"planning":[63],"with":[65,98,120],"occupancy":[66],"grid":[67],"maps,":[68],"which":[69,105],"do":[70],"not":[71],"scale":[72],"well":[73,91],"suffer":[75],"from":[76],"long":[77],"term":[78],"drift.":[79],"This":[80],"proposes":[82],"Topological":[84],"Feature":[85],"Graph":[86],"(TFG)":[87],"representation":[88],"that":[89,154],"scales":[90],"develops":[93],"SLAM":[96],"algorithm":[97],"it.":[99],"TFG":[101],"uses":[102],"graphical":[103],"models,":[104],"utilize":[106],"independences":[107],"between":[108,133],"variables,":[109],"enables":[111],"unified":[113],"quantification":[114],"exploration":[116,135],"exploitation":[118],"gains":[119],"single":[122],"entropy":[123],"metric.":[124],"Hence,":[125],"it":[126],"facilitates":[127],"natural":[129],"principled":[131],"balance":[132],"refinement.":[137],"A":[138],"probabilistic":[139],"roadmap":[140],"path-planner":[141],"used":[143],"generate":[145],"in":[148],"real":[149],"time.":[150],"Experimental":[151],"results":[152],"demonstrate":[153],"proposed":[156],"approach":[157,166],"achieves":[158],"better":[159],"accuracy":[160],"than":[161],"standard":[163],"grid-map":[164],"based":[165],"while":[167],"requiring":[168],"orders":[169],"magnitude":[171],"less":[172],"computation":[173],"memory":[175],"resources.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
