{"id":"https://openalex.org/W4387408232","doi":"https://doi.org/10.1140/epjds/s13688-023-00421-6","title":"Investigating the contribution of author- and publication-specific features to scholars\u2019 h-index prediction","display_name":"Investigating the contribution of author- and publication-specific features to scholars\u2019 h-index prediction","publication_year":2023,"publication_date":"2023-10-06","ids":{"openalex":"https://openalex.org/W4387408232","doi":"https://doi.org/10.1140/epjds/s13688-023-00421-6"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-023-00421-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00421-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00421-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00421-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074683962","display_name":"Fakhri Momeni","orcid":"https://orcid.org/0000-0002-5572-575X"},"institutions":[{"id":"https://openalex.org/I4210101898","display_name":"GESIS - Leibniz-Institute for the Social Sciences","ror":"https://ror.org/018afyw53","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210101898"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fakhri Momeni","raw_affiliation_strings":["GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5572-575X","affiliations":[{"raw_affiliation_string":"GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany","institution_ids":["https://openalex.org/I4210101898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033632230","display_name":"Philipp Mayr","orcid":"https://orcid.org/0000-0002-6656-1658"},"institutions":[{"id":"https://openalex.org/I4210101898","display_name":"GESIS - Leibniz-Institute for the Social Sciences","ror":"https://ror.org/018afyw53","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210101898"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Mayr","raw_affiliation_strings":["GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany","institution_ids":["https://openalex.org/I4210101898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070728314","display_name":"Stefan Dietze","orcid":"https://orcid.org/0009-0001-4364-9243"},"institutions":[{"id":"https://openalex.org/I4210101898","display_name":"GESIS - Leibniz-Institute for the Social Sciences","ror":"https://ror.org/018afyw53","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210101898"]},{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Dietze","raw_affiliation_strings":["GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany","Heinrich-Heine-University, Universit\u00e4tsstr. 1, 40225, D\u00fcsseldorf, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GESIS \u2013 Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany","institution_ids":["https://openalex.org/I4210101898"]},{"raw_affiliation_string":"Heinrich-Heine-University, Universit\u00e4tsstr. 1, 40225, D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074683962"],"corresponding_institution_ids":["https://openalex.org/I4210101898"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1161,"currency":"EUR","value_usd":1252},"fwci":1.9315,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8763207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.9994999766349792,"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":0.9994999766349792,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9228000044822693,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9010000228881836,"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/metric","display_name":"Metric (unit)","score":0.7509045004844666},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7486547827720642},{"id":"https://openalex.org/keywords/scopus","display_name":"Scopus","score":0.7035184502601624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6227871179580688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6182295680046082},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5599063038825989},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.5448503494262695},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4775041937828064},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.45579278469085693},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43871381878852844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40857401490211487},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36232447624206543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34928107261657715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18298718333244324},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10909014940261841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0989890992641449},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09211665391921997},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.08296594023704529},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.07755166292190552}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7509045004844666},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7486547827720642},{"id":"https://openalex.org/C83867959","wikidata":"https://www.wikidata.org/wiki/Q371467","display_name":"Scopus","level":3,"score":0.7035184502601624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6227871179580688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182295680046082},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5599063038825989},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.5448503494262695},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4775041937828064},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.45579278469085693},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43871381878852844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40857401490211487},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36232447624206543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34928107261657715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18298718333244324},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10909014940261841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0989890992641449},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09211665391921997},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.08296594023704529},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.07755166292190552},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-023-00421-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00421-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00421-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f6118da3d4df4026b0a7b490fadf9f57","is_oa":true,"landing_page_url":"https://doaj.org/article/f6118da3d4df4026b0a7b490fadf9f57","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 12, Iss 1, Pp 1-21 (2023)","raw_type":"article"},{"id":"pmh:oai:gesis.izsoz.de:document/90258","is_oa":true,"landing_page_url":"https://www.ssoar.info/ssoar/handle/document/90258","pdf_url":null,"source":{"id":"https://openalex.org/S4306401996","display_name":"Social Science Open Access Repository (GESIS \u2013 Leibniz Institute for the Social Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210101898","host_organization_name":"GESIS - Leibniz Institute for the Social Sciences","host_organization_lineage":["https://openalex.org/I4210101898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science","raw_type":"Zeitschriftenartikel"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-023-00421-6","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00421-6","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00421-6","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328469","display_name":"GESIS - Leibniz-Institut f\u00fcr Sozialwissenschaften","ror":"https://ror.org/018afyw53"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387408232.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W45649963","https://openalex.org/W1503903766","https://openalex.org/W1960480397","https://openalex.org/W1966661928","https://openalex.org/W1975795075","https://openalex.org/W1987570886","https://openalex.org/W2005706022","https://openalex.org/W2024296872","https://openalex.org/W2068844935","https://openalex.org/W2070870127","https://openalex.org/W2090540060","https://openalex.org/W2096119600","https://openalex.org/W2111836958","https://openalex.org/W2111919025","https://openalex.org/W2126326820","https://openalex.org/W2128438887","https://openalex.org/W2132040345","https://openalex.org/W2151568674","https://openalex.org/W2295598076","https://openalex.org/W2344286452","https://openalex.org/W2418922443","https://openalex.org/W2511661767","https://openalex.org/W2588384268","https://openalex.org/W2775574671","https://openalex.org/W2792146487","https://openalex.org/W2793131191","https://openalex.org/W2806306347","https://openalex.org/W2807919512","https://openalex.org/W2914336853","https://openalex.org/W2915612428","https://openalex.org/W2920929883","https://openalex.org/W2941365238","https://openalex.org/W2950096371","https://openalex.org/W2951329329","https://openalex.org/W2962744526","https://openalex.org/W3023428950","https://openalex.org/W3027018408","https://openalex.org/W3046583490","https://openalex.org/W3099632057","https://openalex.org/W3102109132","https://openalex.org/W3107466325","https://openalex.org/W3130592667","https://openalex.org/W3152922902","https://openalex.org/W3159964116","https://openalex.org/W3174975695","https://openalex.org/W3184304603","https://openalex.org/W3207497279","https://openalex.org/W4200530378","https://openalex.org/W4220655178","https://openalex.org/W4230882300","https://openalex.org/W4302406680","https://openalex.org/W4309042829","https://openalex.org/W4311306030","https://openalex.org/W4312098068","https://openalex.org/W4360611303"],"related_works":["https://openalex.org/W3140300071","https://openalex.org/W2552566180","https://openalex.org/W4380081217","https://openalex.org/W2018488738","https://openalex.org/W2120516750","https://openalex.org/W4385436685","https://openalex.org/W2608652318","https://openalex.org/W3003941550","https://openalex.org/W3124322385","https://openalex.org/W3033552494"],"abstract_inverted_index":{"Abstract":[0],"Evaluation":[1],"of":[2,47,89,119,135,155,198,223,230],"researchers\u2019":[3,58,186,267],"output":[4],"is":[5,15,34,72,164],"vital":[6],"for":[7,74,201,213,258,265,283],"hiring":[8],"committees":[9],"and":[10,13,45,76,111,130,144,151,159,168,177,215],"funding":[11],"bodies,":[12],"it":[14,38,147],"usually":[16],"measured":[17],"via":[18],"their":[19,77,182,295],"scientific":[20,59,70,142],"productivity,":[21],"citations,":[22,158],"or":[23],"a":[24,40,103,244],"combined":[25],"metric":[26],"such":[27],"as":[28],"the":[29,51,57,64,69,87,90,95,109,117,123,153,170,195,221,224,228,235,250,253,259,270,287,304],"h-index.":[30,48,97,160,251],"Assessing":[31],"young":[32],"researchers":[33,75],"more":[35,211,280,299],"critical":[36],"because":[37],"takes":[39],"while":[41],"to":[42,55,67,81,107,115,140,173,205,220,226,297],"get":[43],"citations":[44],"increment":[46],"Hence,":[49],"predicting":[50,185,199,249],"h-index":[52,110,187],"can":[53],"help":[54],"discover":[56],"impact.":[60,121],"In":[61],"addition,":[62],"identifying":[63],"influential":[65],"factors":[66],"predict":[68,108,298],"impact":[71],"helpful":[73],"organizations":[78],"seeking":[79],"solutions":[80],"improve":[82],"it.":[83],"This":[84],"study":[85],"investigates":[86],"effect":[88,247],"author,":[91,174],"paper/venue-specific":[92],"features":[93,171,209,264,278,293,302],"on":[94],"future":[96],"For":[98],"this":[99,231],"purpose,":[100],"we":[101,128,145,193,273],"used":[102],"machine":[104],"learning":[105],"approach":[106],"feature":[112,120,203],"analysis":[113],"techniques":[114],"advance":[116],"understanding":[118],"Utilizing":[122],"bibliometric":[124],"data":[125],"in":[126,184,188,234,248,269,286,303],"Scopus,":[127],"defined":[129],"extracted":[131],"two":[132],"main":[133],"groups":[134,268],"features.":[136],"The":[137,161],"first":[138],"relates":[139],"prior":[141,262,291],"impact,":[143],"name":[146],"\u2018prior":[148],"impact-based":[149,166,263,277,292],"features\u2019":[150,167],"includes":[152],"number":[154],"publications,":[156],"received":[157],"second":[162],"group":[163],"\u2018non-prior":[165],"contains":[169],"related":[172],"co-authorship,":[175],"paper,":[176],"venue":[178],"characteristics.":[179],"We":[180,218],"explored":[181],"importance":[183],"three":[189],"career":[190],"phases.":[191],"Also,":[192,290],"examined":[194],"temporal":[196],"dimension":[197],"performance":[200,257],"different":[202],"categories":[204],"find":[206],"out":[207],"which":[208],"are":[210,279],"reliable":[212],"long-":[214],"short-term":[216],"prediction.":[217],"referred":[219],"gender":[222,242],"authors":[225],"examine":[227],"role":[229],"author\u2019s":[232],"characteristics":[233],"prediction":[236],"task.":[237],"Our":[238],"findings":[239],"showed":[240],"that":[241,275],"has":[243],"very":[245],"slight":[246],"Although":[252],"results":[254],"demonstrate":[255],"better":[256],"models":[260],"containing":[261],"all":[266],"near":[271],"future,":[272],"found":[274],"non-prior":[276],"robust":[281],"predictors":[282],"younger":[284],"scholars":[285],"long":[288,305],"term.":[289,306],"lose":[294],"power":[296],"than":[300],"other":[301]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
