{"id":"https://openalex.org/W2995218679","doi":"https://doi.org/10.1109/visual.2019.8933709","title":"Hi-D Maps: An Interactive Visualization Technique for Multi-Dimensional Categorical Data","display_name":"Hi-D Maps: An Interactive Visualization Technique for Multi-Dimensional Categorical Data","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995218679","doi":"https://doi.org/10.1109/visual.2019.8933709","mag":"2995218679"},"language":"en","primary_location":{"id":"doi:10.1109/visual.2019.8933709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2019.8933709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.07890","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049030951","display_name":"Radi Muhammad Reza","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Radi Muhammad Reza","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016365293","display_name":"Benjamin Watson","orcid":"https://orcid.org/0000-0002-3758-7357"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin A. Watson","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4068,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66869794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9598000049591064,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/glyph","display_name":"Glyph (data visualization)","score":0.8374438881874084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828397750854492},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6993087530136108},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5879930257797241},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5693749785423279},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5667811036109924},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.558867335319519},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5243313908576965},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4483446478843689},{"id":"https://openalex.org/keywords/geovisualization","display_name":"Geovisualization","score":0.43012678623199463},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.40902578830718994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3568468987941742},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13128206133842468},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1097758412361145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10435959696769714}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8374438881874084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828397750854492},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6993087530136108},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5879930257797241},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5693749785423279},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5667811036109924},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.558867335319519},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5243313908576965},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4483446478843689},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.43012678623199463},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.40902578830718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568468987941742},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13128206133842468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1097758412361145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10435959696769714},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/visual.2019.8933709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2019.8933709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.07890","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.07890","pdf_url":"https://arxiv.org/pdf/2507.07890","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},{"id":"pmh:oai:share.osf.io:E01F1-132-4E0","is_oa":false,"landing_page_url":"http://api.osf.io/v2/nodes/r7s6t/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"project"},{"id":"pmh:oai:share.osf.io:ba04028f-ca7a-42b5-b2b6-6715b99fe367","is_oa":false,"landing_page_url":"https://osf.io/r7s6t","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Project"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.07890","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.07890","pdf_url":"https://arxiv.org/pdf/2507.07890","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W26643119","https://openalex.org/W1491749622","https://openalex.org/W1775412516","https://openalex.org/W1893905004","https://openalex.org/W1970929543","https://openalex.org/W2034694694","https://openalex.org/W2050427657","https://openalex.org/W2064751934","https://openalex.org/W2077389465","https://openalex.org/W2106441507","https://openalex.org/W2124418850","https://openalex.org/W2146520578","https://openalex.org/W2146872957","https://openalex.org/W2148834483","https://openalex.org/W2157163711","https://openalex.org/W2157254270","https://openalex.org/W2157437154","https://openalex.org/W2158307450","https://openalex.org/W2184173110","https://openalex.org/W2602887839","https://openalex.org/W2793551774","https://openalex.org/W2905653271","https://openalex.org/W4231311245","https://openalex.org/W4245891287","https://openalex.org/W4246423046","https://openalex.org/W4248807401","https://openalex.org/W4252075954","https://openalex.org/W4255692800","https://openalex.org/W6601110548","https://openalex.org/W6681842418","https://openalex.org/W6683237996","https://openalex.org/W6888465210","https://openalex.org/W6966772412"],"related_works":["https://openalex.org/W1998661260","https://openalex.org/W1994639236","https://openalex.org/W1651078110","https://openalex.org/W2164455316","https://openalex.org/W2171943981","https://openalex.org/W1559188619","https://openalex.org/W2289782705","https://openalex.org/W2386251123","https://openalex.org/W2087783432","https://openalex.org/W3100095370"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"Hi-D":[5,131,146],"maps,":[6],"a":[7,26,44,58,66,137],"novel":[8],"method":[9,110],"for":[10,24,106],"the":[11,20,40,99],"visualization":[12],"of":[13,22,29,62,98,140],"multi-dimensional":[14],"categorical":[15],"data.":[16],"Our":[17,119],"work":[18],"addresses":[19],"scarcity":[21],"techniques":[23],"visualizing":[25],"large":[27,138],"number":[28,139],"data-dimensions":[30],"in":[31],"an":[32,123],"effective":[33,135],"and":[34,81,91],"space-efficient":[35],"manner.":[36],"We":[37,68,87],"have":[38,69,88],"mapped":[39],"full":[41],"data-space":[42],"onto":[43],"2D":[45],"regular":[46],"polygonal":[47],"region.":[48],"The":[49],"polygon":[50],"is":[51,111],"cut":[52],"hierarchically":[53],"with":[54],"lines":[55],"parallel":[56],"to":[57,83,94,115],"user-controlled,":[59],"ordered":[60],"sequence":[61],"sides,":[63],"each":[64],"representing":[65],"dimension.":[67],"used":[70],"multiple":[71],"visual":[72],"cues":[73],"such":[74],"as":[75],"orientation,":[76],"thickness,":[77],"color,":[78],"countable":[79],"glyphs,":[80],"text":[82],"depict":[84],"cross-dimensional":[85],"information.":[86,118],"added":[89],"interactivity":[90],"hierarchical":[92,117],"browsing":[93],"facilitate":[95],"flexible":[96],"exploration":[97],"display:":[100],"small":[101],"areas":[102],"can":[103],"be":[104],"scrutinized":[105],"details.":[107],"Thus,":[108],"our":[109],"also":[112],"easily":[113],"extendable":[114],"visualize":[116],"glyph":[120],"animations":[121],"add":[122,149],"engaging":[124],"aesthetic":[125],"during":[126],"interaction.":[127],"Like":[128],"many":[129],"visualizations,":[130],"maps":[132,147],"become":[133],"less":[134],"when":[136],"dimensions":[141],"stresses":[142],"perceptual":[143],"limits,":[144],"but":[145],"may":[148],"clarity":[150],"before":[151],"those":[152],"limits":[153],"are":[154],"reached.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}