{"id":"https://openalex.org/W4408656998","doi":"https://doi.org/10.1016/j.dim.2025.100100","title":"Redefining research metrics: Introducing the inverse-H-index and efficacy equation in scholarly publication analysis","display_name":"Redefining research metrics: Introducing the inverse-H-index and efficacy equation in scholarly publication analysis","publication_year":2025,"publication_date":"2025-03-20","ids":{"openalex":"https://openalex.org/W4408656998","doi":"https://doi.org/10.1016/j.dim.2025.100100"},"language":"en","primary_location":{"id":"doi:10.1016/j.dim.2025.100100","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dim.2025.100100","pdf_url":null,"source":{"id":"https://openalex.org/S4210174804","display_name":"Data and Information Management","issn_l":"2543-9251","issn":["2543-9251"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data and Information Management","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.dim.2025.100100","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Fuyi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyi Wei","raw_affiliation_strings":["School of Economics & Management, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039009990","display_name":"Mengjia Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjia Yuan","raw_affiliation_strings":["School of Economics & Management, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002040992","display_name":"Le Yang","orcid":"https://orcid.org/0000-0002-6678-1781"},"institutions":[{"id":"https://openalex.org/I41639379","display_name":"Association of Research Libraries","ror":"https://ror.org/053mpbz30","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I41639379"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Le Yang","raw_affiliation_strings":["University Libraries, University of Oregon, Office 115D, Knight Library 1501 Kincaid St., Eugene, OR, 97403, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Libraries, University of Oregon, Office 115D, Knight Library 1501 Kincaid St., Eugene, OR, 97403, USA","institution_ids":["https://openalex.org/I41639379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101812422","display_name":"Hong Zhu","orcid":"https://orcid.org/0000-0002-3008-8889"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhu","raw_affiliation_strings":["Library, Nankai University Binhai College, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Library, Nankai University Binhai College, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002040992"],"corresponding_institution_ids":["https://openalex.org/I41639379"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.8081,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75149586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":"4","first_page":"100100","last_page":"100100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9987999796867371,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6280347108840942},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4953655004501343},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.4816838204860687},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3423924446105957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34200066328048706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.341877281665802},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.3409147262573242},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31388747692108154},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13109463453292847}],"concepts":[{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6280347108840942},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4953655004501343},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.4816838204860687},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3423924446105957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34200066328048706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.341877281665802},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.3409147262573242},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31388747692108154},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13109463453292847},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.dim.2025.100100","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dim.2025.100100","pdf_url":null,"source":{"id":"https://openalex.org/S4210174804","display_name":"Data and Information Management","issn_l":"2543-9251","issn":["2543-9251"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data and Information Management","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.dim.2025.100100","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dim.2025.100100","pdf_url":null,"source":{"id":"https://openalex.org/S4210174804","display_name":"Data and Information Management","issn_l":"2543-9251","issn":["2543-9251"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data and Information Management","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G403092226","display_name":null,"funder_award_id":"21BTQ007","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1966661928","https://openalex.org/W1982218215","https://openalex.org/W1985696031","https://openalex.org/W2018027932","https://openalex.org/W2026176614","https://openalex.org/W2037075175","https://openalex.org/W2042852414","https://openalex.org/W2066203192","https://openalex.org/W2091285870","https://openalex.org/W2108695571","https://openalex.org/W2124871647","https://openalex.org/W2128438887","https://openalex.org/W2130247873","https://openalex.org/W2134895693","https://openalex.org/W2149164687","https://openalex.org/W2151568674","https://openalex.org/W2257356825","https://openalex.org/W2290587752","https://openalex.org/W2354376503","https://openalex.org/W2508992038","https://openalex.org/W2548177687","https://openalex.org/W2604549169","https://openalex.org/W2616425602","https://openalex.org/W2624340006","https://openalex.org/W2730123083","https://openalex.org/W2792152682","https://openalex.org/W2900625626","https://openalex.org/W3003087801","https://openalex.org/W3086996200","https://openalex.org/W3126348115","https://openalex.org/W3159121155","https://openalex.org/W3159223999","https://openalex.org/W4210740051","https://openalex.org/W4402115014","https://openalex.org/W6666913556"],"related_works":["https://openalex.org/W2024934382","https://openalex.org/W2303173273","https://openalex.org/W2513767888","https://openalex.org/W3147308590","https://openalex.org/W1528049813","https://openalex.org/W1968285868","https://openalex.org/W2364043478","https://openalex.org/W4388140417","https://openalex.org/W3153451317","https://openalex.org/W4313635805"],"abstract_inverted_index":{"The":[0,91,143,167,180],"exploratory":[1],"study":[2,46,122],"examines":[3],"the":[4,23,27,30,37,42,48,67,77,110,125,139,148,151,157,159,172],"distribution":[5,24],"of":[6,33,79,93,119,150,174],"scholarly":[7],"publications":[8,88],"and":[9,19,59,73,89,101,113,133,163,182,188],"citations":[10],"within":[11],"a":[12,51],"geometric":[13,38],"Graph-H":[14],"framework,":[15,66],"focusing":[16],"on":[17,63,156],"identifying":[18],"addressing":[20],"gaps":[21,185],"in":[22,81,176,186],"matrix.":[25],"Additionally,":[26],"paper":[28,34,68,160],"introduces":[29,69,161],"economic":[31],"concept":[32,72],"publications.":[35,153],"Utilizing":[36],"principles":[39],"foundational":[40],"to":[41,53,75,146,170],"original":[43],"H-index,":[44,111],"this":[45,64,94,121],"proposes":[47],"inverse-H-index":[49],"as":[50],"metric":[52],"quantify":[54],"discrepancies":[55],"between":[56],"citation":[57],"counts":[58],"optimal":[60],"capacity.":[61],"Based":[62,155],"quantified":[65],"an":[70,164],"efficacy":[71,114],"equation":[74,95,127],"evaluate":[76,147,171],"effectiveness":[78,173],"researchers":[80],"achieving":[82,177],"their":[83,87],"H-index":[84,187],"values":[85],"through":[86,98],"citations.":[90],"validity":[92],"is":[96],"assessed":[97],"Pearson":[99],"testing":[100],"validation":[102],"using":[103],"datasets":[104],"from":[105],"Clarivate's":[106],"report.":[107],"By":[108],"comparing":[109],"inverse-H-index,":[112,158],"measures":[115],"across":[116],"different":[117],"groups":[118],"scholars,":[120],"finds":[123],"that":[124],"proposed":[126],"effectively":[128],"captures":[129],"researchers'":[130],"publication":[131],"activities":[132],"identifies":[134],"attributes":[135],"not":[136],"highlighted":[137],"by":[138],"traditional":[140],"H-index.":[141,178],"\u2022":[142,154,166,179],"Inverse-H-Index":[144],"aims":[145,169],"\u201ccost\u201d":[149],"research":[152],"Efficacy":[162,168,183],"equation.":[165],"scholars":[175],"Inverse-H-index":[181],"examine":[184],"other":[189],"impact":[190],"measures.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-19T04:01:09.351973","created_date":"2025-10-10T00:00:00"}
