{"id":"https://openalex.org/W2041913912","doi":"https://doi.org/10.1016/j.ejor.2011.06.045","title":"Guidelines for using variable selection techniques in data envelopment analysis","display_name":"Guidelines for using variable selection techniques in data envelopment analysis","publication_year":2011,"publication_date":"2011-07-21","ids":{"openalex":"https://openalex.org/W2041913912","doi":"https://doi.org/10.1016/j.ejor.2011.06.045","mag":"2041913912"},"language":"en","primary_location":{"id":"doi:10.1016/j.ejor.2011.06.045","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ejor.2011.06.045","pdf_url":null,"source":{"id":"https://openalex.org/S103321696","display_name":"European Journal of Operational Research","issn_l":"0377-2217","issn":["0377-2217","1872-6860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal of Operational Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045872664","display_name":"Niranjan R. Nataraja","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjan R. Nataraja","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, United States","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029621471","display_name":"Andrew L. Johnson","orcid":"https://orcid.org/0000-0003-3848-6977"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrew L. Johnson","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, United States","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029621471"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":11.0064,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.98436186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"215","issue":"3","first_page":"662","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"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/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"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"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10393","display_name":"Economic Growth and Productivity","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.9226909279823303},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.8637459874153137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550774574279785},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6504085063934326},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49085837602615356},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.48507776856422424},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4836341142654419},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4506648778915405},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4340384006500244},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.42664048075675964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40836894512176514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.389277845621109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2178122103214264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20952102541923523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.204708993434906}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.9226909279823303},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.8637459874153137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550774574279785},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6504085063934326},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49085837602615356},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.48507776856422424},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4836341142654419},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4506648778915405},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4340384006500244},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42664048075675964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40836894512176514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.389277845621109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2178122103214264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20952102541923523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.204708993434906},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ejor.2011.06.045","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ejor.2011.06.045","pdf_url":null,"source":{"id":"https://openalex.org/S103321696","display_name":"European Journal of Operational Research","issn_l":"0377-2217","issn":["0377-2217","1872-6860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal of Operational Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:ejores:v:215:y:2011:i:3:p:662-669","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0377221711006011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W180405720","https://openalex.org/W1572425137","https://openalex.org/W1762127812","https://openalex.org/W1975935631","https://openalex.org/W1978994103","https://openalex.org/W2009003111","https://openalex.org/W2009017895","https://openalex.org/W2012651708","https://openalex.org/W2022801758","https://openalex.org/W2024316112","https://openalex.org/W2026496668","https://openalex.org/W2027328151","https://openalex.org/W2028218958","https://openalex.org/W2034616615","https://openalex.org/W2048549210","https://openalex.org/W2049758055","https://openalex.org/W2052927476","https://openalex.org/W2068092869","https://openalex.org/W2068400656","https://openalex.org/W2076211381","https://openalex.org/W2076452041","https://openalex.org/W2090020508","https://openalex.org/W2118104405","https://openalex.org/W2118728790","https://openalex.org/W2122262038","https://openalex.org/W2129763896","https://openalex.org/W2133294170","https://openalex.org/W2133570134","https://openalex.org/W2136992561","https://openalex.org/W2155063211","https://openalex.org/W4243029988","https://openalex.org/W4300463303"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W2801360836","https://openalex.org/W3117246195","https://openalex.org/W2081850291","https://openalex.org/W156620619","https://openalex.org/W2616249226","https://openalex.org/W2098233217","https://openalex.org/W2914363205","https://openalex.org/W1598221548","https://openalex.org/W1963695443"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
