{"id":"https://openalex.org/W3204478622","doi":"https://doi.org/10.2312/vmv.20211377","title":"EMCA: Explorer of Monte Carlo based Algorithms","display_name":"EMCA: Explorer of Monte Carlo based Algorithms","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3204478622","doi":"https://doi.org/10.2312/vmv.20211377","mag":"3204478622"},"language":"en","primary_location":{"id":"doi:10.2312/vmv.20211377","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20211377","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vmv.20211377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005342644","display_name":"Lukas Ruppert","orcid":"https://orcid.org/0000-0002-0249-7706"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ruppert, Lukas","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000444238","display_name":"Christoph Kreisl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kreisl, Christoph","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089655879","display_name":"Nils Blank","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blank, Nils","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018535607","display_name":"Sebastian Herholz","orcid":"https://orcid.org/0000-0003-1731-2548"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Herholz, Sebastian","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036948222","display_name":"Hendrik P. A. Lensch","orcid":"https://orcid.org/0000-0003-3616-8668"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lensch, Hendrik P. A.","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005342644"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17570018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.2142000049352646,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.2142000049352646,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7684354782104492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375902891159058},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48521140217781067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14767900109291077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11700716614723206}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7684354782104492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375902891159058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48521140217781067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14767900109291077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11700716614723206}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/vmv.20211377","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20211377","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/vmv.20211377","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20211377","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2730178778","https://openalex.org/W3022359438","https://openalex.org/W2806536237","https://openalex.org/W3037027213","https://openalex.org/W3209553790","https://openalex.org/W2626062167","https://openalex.org/W2789833847","https://openalex.org/W3166741286","https://openalex.org/W2840275391","https://openalex.org/W2899157110","https://openalex.org/W2607080863","https://openalex.org/W3096412352","https://openalex.org/W3043624535","https://openalex.org/W2965592143","https://openalex.org/W2109381491","https://openalex.org/W2358754420","https://openalex.org/W567853279","https://openalex.org/W2095416511","https://openalex.org/W3044205183","https://openalex.org/W1511481499"],"abstract_inverted_index":{"Debugging":[0],"or":[1],"analyzing":[2],"the":[3,15,39,45,91,105,112,127,156,167,177,208],"performance":[4],"of":[5,41,47,66,104,129,164,199],"global":[6,42],"illumination":[7,43],"algorithms":[8],"is":[9,98,159],"a":[10,31,139,162],"challenging":[11],"task":[12],"due":[13],"to":[14,36,69,81,190,211],"complex":[16],"path-scene":[17],"interaction":[18],"and":[19,24,44,57,84,148,185,202],"numerous":[20],"places":[21],"where":[22,107],"errors":[23],"programming":[25],"bugs":[26],"can":[27,62,114,206],"occur.":[28],"We":[29,194],"present":[30,195],"novel,":[32],"lightweight":[33],"visualization":[34,94,103],"tool":[35,51,210],"aid":[37],"in":[38,117],"understanding":[40],"debugging":[46],"rendering":[48,166,178,204],"frameworks.":[49],"The":[50,152],"provides":[52],"detailed":[53],"information":[54,97,110],"about":[55],"intersections":[56,130],"light":[58],"transport":[59,141],"paths.":[60],"Users":[61],"add":[63],"arbitrary":[64],"data":[65,154],"their":[67,74,214],"choosing":[68],"each":[70],"intersection,":[71],"based":[72],"on":[73,111],"specific":[75],"demands.":[76],"Aggregate":[77],"plots":[78],"allow":[79],"users":[80],"quickly":[82,165],"discover":[83],"select":[85],"outliers":[86],"for":[87,155],"further":[88,99],"inspection":[89],"across":[90],"globally":[92],"linked":[93],"views.":[95],"That":[96],"coupled":[100],"with":[101],"3D":[102,122,157],"scene":[106],"additional":[108],"aggregated":[109],"surfaces":[113],"be":[115],"inspected":[116],"false":[118],"colors.":[119],"These":[120],"include":[121],"heat":[123],"maps":[124],"such":[125,137],"as":[126,131,133,138,161],"density":[128],"well":[132],"more":[134],"advanced":[135,203],"colorings":[136],"diffuse":[140,149],"approximation":[142],"computed":[143],"from":[144],"local":[145],"irradiance":[146],"samples":[147],"material":[150],"approximations.":[151],"necessary":[153],"coloring":[158],"collected":[160],"side-product":[163],"image":[168],"at":[169],"low":[170],"sample":[171],"counts":[172],"without":[173],"significantly":[174],"slowing":[175],"down":[176],"process.":[179],"It":[180],"requires":[181],"almost":[182],"no":[183],"precomputation":[184],"very":[186],"little":[187],"storage":[188],"compared":[189],"point":[191],"cloud-based":[192],"approaches.":[193],"several":[196],"use":[197],"cases":[198],"how":[200],"novices":[201],"researchers":[205],"leverage":[207],"presented":[209],"speed":[212],"up":[213],"research.":[215]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}