{"id":"https://openalex.org/W2164422892","doi":"https://doi.org/10.1109/mcom.2014.6917405","title":"Mobile crowd sensing: part 2 [Guest Editorial]","display_name":"Mobile crowd sensing: part 2 [Guest Editorial]","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2164422892","doi":"https://doi.org/10.1109/mcom.2014.6917405","mag":"2164422892"},"language":"en","primary_location":{"id":"doi:10.1109/mcom.2014.6917405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcom.2014.6917405","pdf_url":"https://ieeexplore.ieee.org/ielx7/35/6917389/06917405.pdf","source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/35/6917389/06917405.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078005520","display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-6097-2467"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082393646","display_name":"Francesco Calabrese","orcid":"https://orcid.org/0009-0008-4706-1499"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Francesco Calabrese","raw_affiliation_strings":["IBM Research - Ireland Center in Dublin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Ireland Center in Dublin","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014000167","display_name":"Emiliano Miluzzo","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emiliano Miluzzo","raw_affiliation_strings":["AT&T Labs Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs Research","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078886343","display_name":"Mirco Musolesi","orcid":"https://orcid.org/0000-0001-9712-4090"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirco Musolesi","raw_affiliation_strings":["School of Computer Science at the University of Birmingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science at the University of Birmingham, United Kingdom","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9091,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84014515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"52","issue":"10","first_page":"76","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9351999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.9316538572311401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8274520635604858},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5743600130081177},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5374658107757568},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4877360761165619},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.48753592371940613},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.48545175790786743},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.4630658030509949},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.44517359137535095},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.44456946849823},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.43217596411705017},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.42874112725257874},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3270910382270813},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.25606638193130493},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1687183678150177},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13018116354942322}],"concepts":[{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.9316538572311401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274520635604858},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5743600130081177},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5374658107757568},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4877360761165619},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.48753592371940613},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.48545175790786743},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.4630658030509949},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44517359137535095},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.44456946849823},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43217596411705017},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.42874112725257874},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3270910382270813},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.25606638193130493},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1687183678150177},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13018116354942322},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mcom.2014.6917405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcom.2014.6917405","pdf_url":"https://ieeexplore.ieee.org/ielx7/35/6917389/06917405.pdf","source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mcom.2014.6917405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mcom.2014.6917405","pdf_url":"https://ieeexplore.ieee.org/ielx7/35/6917389/06917405.pdf","source":{"id":"https://openalex.org/S158797327","display_name":"IEEE Communications Magazine","issn_l":"0163-6804","issn":["0163-6804","1558-1896"],"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 Communications Magazine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2164422892.pdf","grobid_xml":"https://content.openalex.org/works/W2164422892.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2896200027","https://openalex.org/W2608033733","https://openalex.org/W4232477044","https://openalex.org/W2500295164","https://openalex.org/W2168877220","https://openalex.org/W1894261276","https://openalex.org/W4296196895","https://openalex.org/W2502154934","https://openalex.org/W4385847549","https://openalex.org/W2798910397"],"abstract_inverted_index":{"Mobile":[0],"crowd":[1,39],"sensing":[2,7,80],"(MCS)":[3],"presents":[4],"a":[5,48],"new":[6],"paradigm":[8],"that":[9],"empowers":[10],"ordinary":[11],"citizens":[12],"to":[13],"contribute":[14],"data":[15,34,77,89,93],"sensed":[16],"or":[17],"generated":[18],"from":[19,99],"their":[20],"mobile":[21],"devices":[22],"(e.g.,":[23],"smartphones,":[24],"wearable":[25],"devices,":[26],"smart":[27],"vehicles),":[28],"and":[29,31,42,63,70,95],"aggregates":[30],"fuses":[32],"the":[33,36,66,100],"in":[35],"cloud":[37],"for":[38],"intelligence":[40],"extraction":[41],"human-centric":[43],"service":[44],"delivery.":[45],"MCS":[46,101],"benefits":[47],"number":[49],"of":[50],"application":[51],"areas":[52],"regarding":[53],"urban/community":[54],"dynamics":[55],"monitoring,":[56,58],"environment":[57],"traffic":[59],"planning,":[60],"public":[61],"safety,":[62],"beyond.":[64],"At":[65],"same":[67],"time,":[68],"numerous":[69],"unique":[71],"research":[72],"challenges,":[73],"such":[74],"as":[75],"participatory":[76],"collection,":[78],"optimal":[79],"node":[81],"selection,":[82],"proper":[83],"incentive":[84],"mechanisms,":[85],"transient":[86],"network":[87],"communication,":[88],"quality/trust":[90],"maintenance,":[91],"cross-space":[92],"processing,":[94],"so":[96],"on,":[97],"arise":[98],"paradigm.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}