{"id":"https://openalex.org/W4417000815","doi":"https://doi.org/10.1007/s44163-025-00693-z","title":"BiBLoX realtime science trend mapping MLdriven forecasting","display_name":"BiBLoX realtime science trend mapping MLdriven forecasting","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417000815","doi":"https://doi.org/10.1007/s44163-025-00693-z"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00693-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00693-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44163-025-00693-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074120161","display_name":"Kadir Kesgin","orcid":"https://orcid.org/0000-0001-5973-8622"},"institutions":[{"id":"https://openalex.org/I3133171086","display_name":"Band\u0131rma Onyedi Eyl\u00fcl University","ror":"https://ror.org/02mtr7g38","country_code":"TR","type":"education","lineage":["https://openalex.org/I3133171086"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Kadir Kesgin","raw_affiliation_strings":["Bandirma Onyedi Eylul University, Bandirma, Turkey"],"affiliations":[{"raw_affiliation_string":"Bandirma Onyedi Eylul University, Bandirma, Turkey","institution_ids":["https://openalex.org/I3133171086"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003272829","display_name":"Dilek Zeren \u00d6zer","orcid":"https://orcid.org/0000-0002-7905-7186"},"institutions":[{"id":"https://openalex.org/I131835042","display_name":"Bursa Uluda\u011f \u00dcni\u0307versi\u0307tesi\u0307","ror":"https://ror.org/03tg3eb07","country_code":"TR","type":"education","lineage":["https://openalex.org/I131835042"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Dilek Zeren Ozer","raw_affiliation_strings":["Bursa Uludag University, Nil\u00fcfer, Turkey"],"affiliations":[{"raw_affiliation_string":"Bursa Uludag University, Nil\u00fcfer, Turkey","institution_ids":["https://openalex.org/I131835042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074120161"],"corresponding_institution_ids":["https://openalex.org/I3133171086"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51697011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.2379000037908554,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11937","display_name":"Research Data Management Practices","score":0.2379000037908554,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.17749999463558197,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.14970000088214874,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/pace","display_name":"Pace","score":0.6378999948501587},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5426999926567078},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4878000020980835},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4869000017642975},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.39489999413490295},{"id":"https://openalex.org/keywords/bibliometrics","display_name":"Bibliometrics","score":0.39329999685287476},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.38339999318122864},{"id":"https://openalex.org/keywords/technology-forecasting","display_name":"Technology forecasting","score":0.322299987077713}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7092000246047974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692000031471252},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6378999948501587},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5426999926567078},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4878000020980835},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34470000863075256},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.30559998750686646},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C3017468152","wikidata":"https://www.wikidata.org/wiki/Q830170","display_name":"Knowledge production","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C127142870","wikidata":"https://www.wikidata.org/wiki/Q7838279","display_name":"Trend analysis","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C83867959","wikidata":"https://www.wikidata.org/wiki/Q371467","display_name":"Scopus","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C207267971","wikidata":"https://www.wikidata.org/wiki/Q120208","display_name":"Emerging technologies","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00693-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00693-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e037afd49e7c4526b455dc546b9a1b44","is_oa":true,"landing_page_url":"https://doaj.org/article/e037afd49e7c4526b455dc546b9a1b44","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00693-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00693-z","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1767272795","https://openalex.org/W1981886524","https://openalex.org/W2000574324","https://openalex.org/W2065976629","https://openalex.org/W2124689612","https://openalex.org/W2125315567","https://openalex.org/W2150220236","https://openalex.org/W2547045893","https://openalex.org/W2755950973","https://openalex.org/W2757063724","https://openalex.org/W2946867074","https://openalex.org/W2963453445","https://openalex.org/W2970771982","https://openalex.org/W3035324702","https://openalex.org/W3160856016","https://openalex.org/W4238591974","https://openalex.org/W4256681118"],"related_works":[],"abstract_inverted_index":{"The":[0],"accelerating":[1],"pace":[2],"of":[3,10,88,103],"scientific":[4,176],"production":[5],"has":[6],"outpaced":[7],"the":[8,17,31,39,52,172],"capabilities":[9],"traditional":[11],"bibliometric":[12,66],"tools,":[13],"which":[14],"have":[15,36],"laid":[16],"groundwork":[18],"for":[19,174],"quantifying":[20],"scholarly":[21],"impact":[22],"and":[23,54,91,97,111,127,139,152,168,193],"mapping":[24],"collaboration":[25,155],"networks,":[26],"enabling":[27],"significant":[28],"advances":[29],"in":[30,98],"field.":[32],"While":[33],"these":[34,72],"methods":[35],"significantly":[37],"shaped":[38],"field,":[40],"their":[41,48,101],"reliance":[42,118],"on":[43,71,119],"static,":[44],"retrospective":[45],"analyses":[46],"limits":[47],"ability":[49,144],"to":[50,145,158],"navigate":[51],"hyperdynamic":[53],"interdisciplinary":[55],"research":[56],"ecosystem.":[57],"In":[58],"response,":[59],"we":[60],"propose":[61],"BiBLoX:":[62],"a":[63],"pioneering,":[64],"predictive":[65,163],"intelligence":[67],"platform":[68],"that":[69],"builds":[70],"foundations":[73],"by":[74],"integrating":[75],"real-time":[76],"data":[77,114],"streams":[78],"exclusively":[79],"via":[80],"official":[81],"APIs":[82],"from":[83],"sources":[84],"such":[85],"as":[86],"Web":[87],"Science,":[89],"Scopus,":[90],"TRDizin,":[92],"accessed":[93],"through":[94,136],"institutional":[95],"subscriptions":[96],"compliance":[99],"with":[100,165,181],"terms":[102],"service.":[104],"This":[105],"ensures":[106],"legally":[107],"compliant,":[108],"ethically":[109],"sound,":[110],"technically":[112],"robust":[113],"acquisition":[115],"without":[116],"any":[117],"web":[120],"scraping,":[121],"alongside":[122],"machine":[123],"learning-driven":[124],"trend":[125],"forecasting":[126],"dynamic":[128],"knowledge":[129,199],"mapping.":[130],"Evaluations":[131],"across":[132],"123,638":[133],"publications,":[134],"validated":[135],"temporal":[137],"cross-validation":[138],"robustness":[140],"testing,":[141],"show":[142],"BiBLoX\u2019s":[143],"predict":[146],"citation":[147],"trajectories,":[148],"identify":[149],"emerging":[150],"topics,":[151],"visualize":[153],"evolving":[154,198],"networks.":[156],"Compared":[157],"existing":[159],"platforms,":[160],"BiBLoX":[161,185],"delivers":[162],"analytics":[164],"reproducible":[166],"datasets":[167],"rigorous":[169],"validation,":[170],"paving":[171],"way":[173],"proactive":[175],"foresight.":[177],"By":[178],"providing":[179],"stakeholders":[180],"dynamic,":[182],"actionable":[183],"insights,":[184],"enables":[186],"evidence-based":[187],"funding":[188],"decisions,":[189],"innovation":[190],"policy":[191],"design,":[192],"strategic":[194],"positioning":[195],"within":[196],"rapidly":[197],"economies.":[200]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-12-04T00:00:00"}