{"id":"https://openalex.org/W2023538539","doi":"https://doi.org/10.1109/isda.2011.6121721","title":"Predicting the h-index with cost-sensitive naive Bayes","display_name":"Predicting the h-index with cost-sensitive naive Bayes","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2023538539","doi":"https://doi.org/10.1109/isda.2011.6121721","mag":"2023538539"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/74141/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109054290","display_name":"Alfonso Ib\u00e1\u00f1ez","orcid":"https://orcid.org/0009-0009-3610-8404"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Alfonso Ibanez","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049812833","display_name":"Pedro Larra\u00f1aga","orcid":"https://orcid.org/0000-0003-0652-9872"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Larranaga","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010920098","display_name":"Concha Bielza","orcid":"https://orcid.org/0000-0001-7109-2668"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Concha Bielza","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109054290"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":0.31,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66598131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"599","last_page":"604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9129999876022339,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/seniority","display_name":"Seniority","score":0.7744364738464355},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7683281898498535},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5640093684196472},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5567363500595093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49196216464042664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45684659481048584},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4558391273021698},{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.4227170944213867},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.4132132828235626},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3793642520904541},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.37109124660491943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34520143270492554},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.32861191034317017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3253710865974426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3118593692779541},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2911219596862793},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17406132817268372},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17036575078964233}],"concepts":[{"id":"https://openalex.org/C2780783599","wikidata":"https://www.wikidata.org/wiki/Q1931779","display_name":"Seniority","level":2,"score":0.7744364738464355},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7683281898498535},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5640093684196472},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5567363500595093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49196216464042664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45684659481048584},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4558391273021698},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.4227170944213867},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.4132132828235626},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3793642520904541},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37109124660491943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34520143270492554},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.32861191034317017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3253710865974426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3118593692779541},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2911219596862793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17406132817268372},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17036575078964233},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isda.2011.6121721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:oa.upm.es:74141","is_oa":true,"landing_page_url":"https://oa.upm.es/74141/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications | 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011) | 22-24 Nov 2011 | C\u00f3rdoba, Espa\u00f1a","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:74141","is_oa":true,"landing_page_url":"https://oa.upm.es/74141/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications | 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011) | 22-24 Nov 2011 | C\u00f3rdoba, Espa\u00f1a","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1963904310","https://openalex.org/W1966128773","https://openalex.org/W2033569188","https://openalex.org/W2045031658","https://openalex.org/W2045474314","https://openalex.org/W2071378251","https://openalex.org/W2073204981","https://openalex.org/W2077407024","https://openalex.org/W2097027133","https://openalex.org/W2100721575","https://openalex.org/W2104780365","https://openalex.org/W2109659993","https://openalex.org/W2112081648","https://openalex.org/W2119387367","https://openalex.org/W2128438887","https://openalex.org/W2142947107","https://openalex.org/W2150148357","https://openalex.org/W2163878690","https://openalex.org/W2169089330","https://openalex.org/W2274352877","https://openalex.org/W3101807887","https://openalex.org/W4237494090","https://openalex.org/W6694403267"],"related_works":["https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2906267174","https://openalex.org/W134501823","https://openalex.org/W2615656344","https://openalex.org/W2013239059","https://openalex.org/W2295626654","https://openalex.org/W4286622840","https://openalex.org/W2536121351","https://openalex.org/W2809608782"],"abstract_inverted_index":{"Bibliometric":[0],"indices":[1,18],"are":[2,78],"an":[3],"increasingly":[4],"important":[5],"topic":[6],"for":[7,54],"the":[8,14,20,26,37,45,93,110,113,118,134,142],"scientific":[9],"community":[10],"nowadays.":[11],"One":[12],"of":[13,25,39,47,64,96,112,144],"most":[15],"successful":[16],"bibliometric":[17,81],"is":[19,34,106,138],"well-known":[21],"h-index.":[22],"In":[23],"view":[24],"attention":[27],"attracted":[28],"by":[29],"this":[30],"index,":[31],"our":[32],"research":[33],"based":[35],"on":[36],"construction":[38],"several":[40],"prediction":[41],"models":[42,65,67,77],"to":[43,71,108,140],"forecast":[44],"h-index":[46,111,143],"Spanish":[48],"professors":[49,146],"(with":[50],"a":[51,55,84,124],"permanent":[52],"position)":[53],"four-year":[56],"time":[57,115],"horizon.":[58],"We":[59],"built":[60],"two":[61],"different":[62],"types":[63],"(junior":[66],"and":[68,128],"senior":[69,148],"models)":[70],"differentiate":[72],"between":[73],"professors'":[74],"seniority.":[75],"These":[76],"learnt":[79],"from":[80],"data":[82],"using":[83],"cost-sensitive":[85],"naive":[86],"Bayes":[87],"approach":[88],"that":[89,104,120],"takes":[90],"into":[91],"account":[92],"expected":[94],"cost":[95,132],"instances":[97],"predictions":[98],"at":[99],"classification":[100],"time.":[101],"Results":[102],"show":[103],"it":[105,122,137],"easier":[107,139],"predict":[109,141],"one-year":[114],"horizon":[116],"than":[117,133,147],"others,":[119],"is,":[121],"has":[123],"higher":[125],"average":[126,130],"accuracy":[127],"lower":[129],"total":[131],"others.":[135],"Similarly,":[136],"junior":[145],"professors.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
