{"id":"https://openalex.org/W4310823876","doi":"https://doi.org/10.1109/mra.2022.3213467","title":"Women in Blue: Toward a Better Understanding of the Gender Gap in Marine Robotics [Women in Engineering]","display_name":"Women in Blue: Toward a Better Understanding of the Gender Gap in Marine Robotics [Women in Engineering]","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4310823876","doi":"https://doi.org/10.1109/mra.2022.3213467"},"language":"en","primary_location":{"id":"doi:10.1109/mra.2022.3213467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mra.2022.3213467","pdf_url":"https://ieeexplore.ieee.org/ielx7/100/9975153/09975182.pdf","source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"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 Robotics &amp; Automation Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/100/9975153/09975182.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064241596","display_name":"Ruxandra Lupu","orcid":"https://orcid.org/0000-0002-1885-0420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruxandra Lupu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1885-0420","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046377358","display_name":"M. Caccia","orcid":"https://orcid.org/0000-0002-9499-678X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Massimo Caccia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055298709","display_name":"Enrica Zereik","orcid":"https://orcid.org/0000-0001-6380-3554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enrica Zereik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077265111","display_name":"Rosangela Barcaro","orcid":"https://orcid.org/0000-0001-8106-4660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rosangela Barcaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6478,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74574523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"29","issue":"4","first_page":"138","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10726","display_name":"Career Development and Diversity","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10726","display_name":"Career Development and Diversity","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14306","display_name":"Technology Assessment and Management","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gender-gap","display_name":"Gender gap","score":0.5579739809036255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5062000155448914},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.384876012802124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3549656867980957},{"id":"https://openalex.org/keywords/humanities","display_name":"Humanities","score":0.33752140402793884},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.20058289170265198}],"concepts":[{"id":"https://openalex.org/C2986619947","wikidata":"https://www.wikidata.org/wiki/Q30103150","display_name":"Gender gap","level":2,"score":0.5579739809036255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062000155448914},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.384876012802124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3549656867980957},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.33752140402793884},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.20058289170265198},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mra.2022.3213467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mra.2022.3213467","pdf_url":"https://ieeexplore.ieee.org/ielx7/100/9975153/09975182.pdf","source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"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 Robotics &amp; Automation Magazine","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mra.2022.3213467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mra.2022.3213467","pdf_url":"https://ieeexplore.ieee.org/ielx7/100/9975153/09975182.pdf","source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"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 Robotics &amp; Automation Magazine","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G7800234308","display_name":null,"funder_award_id":"863619","funder_id":"https://openalex.org/F4320337808","funder_display_name":"European Maritime and Fisheries Fund"}],"funders":[{"id":"https://openalex.org/F4320337808","display_name":"European Maritime and Fisheries Fund","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310823876.pdf","grobid_xml":"https://content.openalex.org/works/W4310823876.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W3024822556","https://openalex.org/W3087239152","https://openalex.org/W3117072286","https://openalex.org/W3165258579","https://openalex.org/W6776894737","https://openalex.org/W6783125356"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W93312527","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"The":[0],"gender":[1,112],"gap":[2],"is":[3],"a":[4,35,44,58,69,85,138],"global":[5],"challenge":[6],"bearing":[7],"significant":[8],"societal":[9],"consequences,":[10],"as":[11,43,98],"highlighted":[12],"by":[13,117],"Caroline":[14],"Criado":[15],"Perez":[16],"in":[17,57,71,76,109,149],"her":[18],"book":[19],"<italic":[20],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21,27,129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Invisible":[22],"Women</i>":[23],"<xref":[24,126],"ref-type=\"bibr\"":[25,127],"rid=\"ref1\"":[26],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[1]</xref>":[28],".":[29],"Here":[30],"the":[31,111,118],"author":[32],"points":[33],"to":[34,38],"male-dominated":[36,95],"approach":[37],"all":[39],"aspects":[40],"of":[41,46,140,147],"life":[42],"way":[45],"thinking":[47],"that":[48,132],"has":[49],"been":[50],"around":[51],"for":[52,61,88,136],"millennia,":[53],"exposing":[54],"data":[55,72],"bias":[56,70],"world":[59,86],"designed":[60,87],"men.":[62,93],"Criado\u2019s":[63],"reasoning":[64],"process":[65],"unveils":[66],"not":[67,82],"only":[68,83,137],"representation":[73],"but":[74,90],"also":[75,91],"knowledge":[77],"production.":[78],"Therefore,":[79],"we":[80],"speak":[81],"about":[84,92],"men":[89],"Traditionally":[94],"fields":[96],"such":[97],"science,":[99],"technology,":[100],"mathematics,":[101],"and":[102,123,144],"engineering":[103],"(STEM)":[104],"have":[105],"seen":[106],"slow":[107],"progress":[108],"closing":[110],"gap.":[113],"A":[114],"recent":[115],"study":[116],"United":[119],"Nations":[120],"Educational,":[121],"Scientific":[122],"Cultural":[124],"Organization":[125],"rid=\"ref2\"":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">[2]</xref>":[130],"shows":[131],"women":[133],"still":[134],"account":[135],"third":[139],"STEM":[141],"researchers":[142],"worldwide":[143],"approximately":[145],"22%":[146],"workers":[148],"artificial":[150],"intelligence.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
