{"id":"https://openalex.org/W4387966485","doi":"https://doi.org/10.1109/tvcg.2023.3327178","title":"Radial Icicle Tree (RIT): Node Separation and Area Constancy","display_name":"Radial Icicle Tree (RIT): Node Separation and Area Constancy","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387966485","doi":"https://doi.org/10.1109/tvcg.2023.3327178","pmid":"https://pubmed.ncbi.nlm.nih.gov/37883266"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3327178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3327178","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","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/A5113745963","display_name":"Yuanzhe Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yuanzhe Jin","raw_affiliation_strings":["University of Oxford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092513707","display_name":"Tim J. A. de Jong","orcid":null},"institutions":[{"id":"https://openalex.org/I1322731696","display_name":"Centraal Bureau voor de Statistiek","ror":"https://ror.org/0408v4c28","country_code":"NL","type":"other","lineage":["https://openalex.org/I1322731696"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tim J. A. de Jong","raw_affiliation_strings":["Statistics Netherlands, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Netherlands, The Netherlands","institution_ids":["https://openalex.org/I1322731696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022317482","display_name":"Martijn Tennekes","orcid":"https://orcid.org/0000-0002-6506-9522"},"institutions":[{"id":"https://openalex.org/I1322731696","display_name":"Centraal Bureau voor de Statistiek","ror":"https://ror.org/0408v4c28","country_code":"NL","type":"other","lineage":["https://openalex.org/I1322731696"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martijn Tennekes","raw_affiliation_strings":["Statistics Netherlands, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Netherlands, The Netherlands","institution_ids":["https://openalex.org/I1322731696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337178","display_name":"Min Chen","orcid":"https://orcid.org/0000-0001-5320-5729"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["University of Oxford, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5320-5729","affiliations":[{"raw_affiliation_string":"University of Oxford, U.K","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113745963"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":0.2355,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53269296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"30","issue":"1","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9925000071525574,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9488000273704529,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6399289965629578},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.614752471446991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5210139751434326},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4571218192577362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4179803133010864},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.39096418023109436},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1978202760219574}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6399289965629578},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.614752471446991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5210139751434326},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4571218192577362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4179803133010864},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.39096418023109436},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1978202760219574},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3327178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3327178","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37883266","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37883266","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 visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1507526911","https://openalex.org/W1519772700","https://openalex.org/W1862210950","https://openalex.org/W1916757608","https://openalex.org/W1977514375","https://openalex.org/W1977554562","https://openalex.org/W1987269142","https://openalex.org/W2000069666","https://openalex.org/W2044818415","https://openalex.org/W2045660323","https://openalex.org/W2061927901","https://openalex.org/W2068673907","https://openalex.org/W2082350117","https://openalex.org/W2095846842","https://openalex.org/W2106441507","https://openalex.org/W2120193754","https://openalex.org/W2121815329","https://openalex.org/W2123966170","https://openalex.org/W2128649671","https://openalex.org/W2129543445","https://openalex.org/W2138447434","https://openalex.org/W2146622339","https://openalex.org/W2146714630","https://openalex.org/W2148875516","https://openalex.org/W2156136663","https://openalex.org/W2159367517","https://openalex.org/W2159707744","https://openalex.org/W2287322623","https://openalex.org/W2412593044","https://openalex.org/W2469679165","https://openalex.org/W2507701305","https://openalex.org/W2753766497","https://openalex.org/W2888128203","https://openalex.org/W2891592782","https://openalex.org/W2960145016","https://openalex.org/W2964243445","https://openalex.org/W2969700220","https://openalex.org/W2974913854","https://openalex.org/W2994798987","https://openalex.org/W3009737049","https://openalex.org/W3020890408","https://openalex.org/W3048687239","https://openalex.org/W3166491592","https://openalex.org/W3174026001","https://openalex.org/W4210695957","https://openalex.org/W4213215347","https://openalex.org/W4253595611","https://openalex.org/W4306733823","https://openalex.org/W4307725034","https://openalex.org/W6607689436","https://openalex.org/W6752316822"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W2760515006","https://openalex.org/W2802042052","https://openalex.org/W1987609185","https://openalex.org/W2003462717","https://openalex.org/W4224881918","https://openalex.org/W174828583","https://openalex.org/W2059098648","https://openalex.org/W1985727224"],"abstract_inverted_index":{"Icicles":[0],"and":[1,137,179,203,218],"sunbursts":[2],"are":[3,26,94,108],"two":[4,121],"commonly-used":[5],"visual":[6,147,193],"representations":[7],"of":[8,20,45,51,69,81,89,99,112,162,185,216],"trees.":[9,139],"While":[10,63],"icicle":[11,35,73,118,135,153,164],"trees":[12,65,136,220],"can":[13],"map":[14],"data":[15,92],"values":[16,93],"faithfully":[17],"to":[18,29,150,195],"rectangles":[19,25,71,111],"different":[21,85,100,124],"sizes,":[22],"often":[23],"some":[24],"too":[27],"narrow":[28,70],"be":[30],"noticed":[31],"easily.":[32],"When":[33],"an":[34,52,117,163],"tree":[36,86,154,165],"is":[37,56],"transformed":[38],"into":[39,166],"a":[40,103,130,145,167],"sunburst":[41,64,104,138,219],"tree,":[42,105],"the":[43,49,60,67,79,90,113,158,186,191,199,214],"width":[44],"each":[46],"rectangle":[47],"becomes":[48],"length":[50],"annular":[53,97,172],"sector":[54,173],"that":[55,208],"usually":[57],"longer":[58,77],"than":[59],"original":[61],"width.":[62],"alleviate":[66],"problem":[68],"in":[72,96,102,116,133],"trees,":[74],"it":[75],"no":[76],"maintains":[78],"consistency":[80],"size":[82,115],"encoding.":[83],"At":[84],"depths,":[87],"nodes":[88,122,178,184],"same":[91,114,187],"displayed":[95],"sections":[98],"sizes":[101],"though":[106],"they":[107],"represented":[109],"by":[110],"tree.":[119],"Furthermore,":[120],"from":[123],"subtrees":[125],"could":[126],"sometimes":[127],"appear":[128],"as":[129,151],"single":[131],"node":[132],"both":[134],"In":[140],"this":[141,209],"paper,":[142],"we":[143],"propose":[144],"new":[146,192,210],"representation,":[148],"referred":[149],"radial":[152],"(RIT),":[155],"which":[156],"transforms":[157],"rectangular":[159],"bounding":[160],"box":[161],"circle,":[168],"circular":[169],"sector,":[170],"or":[171],"while":[174],"introducing":[175,222],"gaps":[176],"between":[177],"maintaining":[180],"area":[181],"constancy":[182],"for":[183],"size.":[188],"We":[189],"applied":[190],"design":[194,201,211,215],"several":[196],"datasets.":[197],"Both":[198],"analytical":[200],"process":[202],"user-centered":[204],"evaluation":[205],"have":[206],"confirmed":[207],"has":[212],"improved":[213],"icicles":[217],"without":[221],"any":[223],"relative":[224],"demerit.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}