A Survey of Informetric Methods and Technologies
A survey of informetric methods and technologies is presented. Problems and directions of informetrics are defined. The interrelations between the concepts such as scientometrics, bibliometrics, informetrics, webometrics, and altmetrics are shown. The existing informetric models and methods and also...
Gespeichert in:
Veröffentlicht in: | Cybernetics and systems analysis 2019-05, Vol.55 (3), p.503-513 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 513 |
---|---|
container_issue | 3 |
container_start_page | 503 |
container_title | Cybernetics and systems analysis |
container_volume | 55 |
creator | Hlavcheva, Yu. M. Kanishcheva, O. V. Borysova, N. V. |
description | A survey of informetric methods and technologies is presented. Problems and directions of informetrics are defined. The interrelations between the concepts such as scientometrics, bibliometrics, informetrics, webometrics, and altmetrics are shown. The existing informetric models and methods and also topical problems of informetrics are analyzed. Available analytic-and-search scientometric databases and systems are considered and their drawbacks and advantages are revealed. Characteristics of scientometric systems, their components, and factors that affect scientometric indices are determined. Based on the conducted research, promising directions for developing scientometric systems are formulated. |
doi_str_mv | 10.1007/s10559-019-00158-z |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2231979510</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A596818716</galeid><sourcerecordid>A596818716</sourcerecordid><originalsourceid>FETCH-LOGICAL-c392t-c4e1fe6ff578e2f53b62286543618df8059314248c4804d130dc0e690acda22d3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKt_wNOCJw9bJ8kmmz2W4kehIth6Dmt2st3SbmqyFdtfb3QF8SJDmBCeZzK8hFxSGFGA_CZQEKJIgcYDVKj0cEQGVOQ8VZznx_EOElLghTwlZyGsAIBDrgYExsl8599xnzibTFvr_AY735jkEbulq0JStlWyQLNs3drVDYZzcmLLdcCLnz4kL3e3i8lDOnu6n07Gs9TwgnWpyZBalNaKXCGzgr9KxpQUGZdUVVaBKDjNWKZMpiCrKIfKAMoCSlOVjFV8SK76uVvv3nYYOr1yO9_GLzVjnBZ5IShEatRTdblG3cT9O1-aWBVuGuNatE18H4tCKqpyKqNw_UeITIcfXV3uQtDT-fNflvWs8S4Ej1ZvfbMp_V5T0F-x6z52HWPX37HrQ5R4L4UItzX6373_sT4BfMmCiQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2231979510</pqid></control><display><type>article</type><title>A Survey of Informetric Methods and Technologies</title><source>SpringerLink Journals - AutoHoldings</source><creator>Hlavcheva, Yu. M. ; Kanishcheva, O. V. ; Borysova, N. V.</creator><creatorcontrib>Hlavcheva, Yu. M. ; Kanishcheva, O. V. ; Borysova, N. V.</creatorcontrib><description>A survey of informetric methods and technologies is presented. Problems and directions of informetrics are defined. The interrelations between the concepts such as scientometrics, bibliometrics, informetrics, webometrics, and altmetrics are shown. The existing informetric models and methods and also topical problems of informetrics are analyzed. Available analytic-and-search scientometric databases and systems are considered and their drawbacks and advantages are revealed. Characteristics of scientometric systems, their components, and factors that affect scientometric indices are determined. Based on the conducted research, promising directions for developing scientometric systems are formulated.</description><identifier>ISSN: 1060-0396</identifier><identifier>EISSN: 1573-8337</identifier><identifier>DOI: 10.1007/s10559-019-00158-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial Intelligence ; Bibliometrics ; Competition (Economics) ; Control ; Informetrics ; Mathematics ; Mathematics and Statistics ; Methods ; Processor Architectures ; Quality control ; Scientists ; Scientometrics ; Software Engineering/Programming and Operating Systems ; Sustainable development ; Systems Theory ; Technology ; Webometrics</subject><ispartof>Cybernetics and systems analysis, 2019-05, Vol.55 (3), p.503-513</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-c4e1fe6ff578e2f53b62286543618df8059314248c4804d130dc0e690acda22d3</citedby><cites>FETCH-LOGICAL-c392t-c4e1fe6ff578e2f53b62286543618df8059314248c4804d130dc0e690acda22d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10559-019-00158-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10559-019-00158-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Hlavcheva, Yu. M.</creatorcontrib><creatorcontrib>Kanishcheva, O. V.</creatorcontrib><creatorcontrib>Borysova, N. V.</creatorcontrib><title>A Survey of Informetric Methods and Technologies</title><title>Cybernetics and systems analysis</title><addtitle>Cybern Syst Anal</addtitle><description>A survey of informetric methods and technologies is presented. Problems and directions of informetrics are defined. The interrelations between the concepts such as scientometrics, bibliometrics, informetrics, webometrics, and altmetrics are shown. The existing informetric models and methods and also topical problems of informetrics are analyzed. Available analytic-and-search scientometric databases and systems are considered and their drawbacks and advantages are revealed. Characteristics of scientometric systems, their components, and factors that affect scientometric indices are determined. Based on the conducted research, promising directions for developing scientometric systems are formulated.</description><subject>Artificial Intelligence</subject><subject>Bibliometrics</subject><subject>Competition (Economics)</subject><subject>Control</subject><subject>Informetrics</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Methods</subject><subject>Processor Architectures</subject><subject>Quality control</subject><subject>Scientists</subject><subject>Scientometrics</subject><subject>Software Engineering/Programming and Operating Systems</subject><subject>Sustainable development</subject><subject>Systems Theory</subject><subject>Technology</subject><subject>Webometrics</subject><issn>1060-0396</issn><issn>1573-8337</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKt_wNOCJw9bJ8kmmz2W4kehIth6Dmt2st3SbmqyFdtfb3QF8SJDmBCeZzK8hFxSGFGA_CZQEKJIgcYDVKj0cEQGVOQ8VZznx_EOElLghTwlZyGsAIBDrgYExsl8599xnzibTFvr_AY735jkEbulq0JStlWyQLNs3drVDYZzcmLLdcCLnz4kL3e3i8lDOnu6n07Gs9TwgnWpyZBalNaKXCGzgr9KxpQUGZdUVVaBKDjNWKZMpiCrKIfKAMoCSlOVjFV8SK76uVvv3nYYOr1yO9_GLzVjnBZ5IShEatRTdblG3cT9O1-aWBVuGuNatE18H4tCKqpyKqNw_UeITIcfXV3uQtDT-fNflvWs8S4Ej1ZvfbMp_V5T0F-x6z52HWPX37HrQ5R4L4UItzX6373_sT4BfMmCiQ</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Hlavcheva, Yu. M.</creator><creator>Kanishcheva, O. V.</creator><creator>Borysova, N. V.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>JQ2</scope></search><sort><creationdate>20190501</creationdate><title>A Survey of Informetric Methods and Technologies</title><author>Hlavcheva, Yu. M. ; Kanishcheva, O. V. ; Borysova, N. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-c4e1fe6ff578e2f53b62286543618df8059314248c4804d130dc0e690acda22d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial Intelligence</topic><topic>Bibliometrics</topic><topic>Competition (Economics)</topic><topic>Control</topic><topic>Informetrics</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Methods</topic><topic>Processor Architectures</topic><topic>Quality control</topic><topic>Scientists</topic><topic>Scientometrics</topic><topic>Software Engineering/Programming and Operating Systems</topic><topic>Sustainable development</topic><topic>Systems Theory</topic><topic>Technology</topic><topic>Webometrics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hlavcheva, Yu. M.</creatorcontrib><creatorcontrib>Kanishcheva, O. V.</creatorcontrib><creatorcontrib>Borysova, N. V.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Cybernetics and systems analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hlavcheva, Yu. M.</au><au>Kanishcheva, O. V.</au><au>Borysova, N. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Survey of Informetric Methods and Technologies</atitle><jtitle>Cybernetics and systems analysis</jtitle><stitle>Cybern Syst Anal</stitle><date>2019-05-01</date><risdate>2019</risdate><volume>55</volume><issue>3</issue><spage>503</spage><epage>513</epage><pages>503-513</pages><issn>1060-0396</issn><eissn>1573-8337</eissn><abstract>A survey of informetric methods and technologies is presented. Problems and directions of informetrics are defined. The interrelations between the concepts such as scientometrics, bibliometrics, informetrics, webometrics, and altmetrics are shown. The existing informetric models and methods and also topical problems of informetrics are analyzed. Available analytic-and-search scientometric databases and systems are considered and their drawbacks and advantages are revealed. Characteristics of scientometric systems, their components, and factors that affect scientometric indices are determined. Based on the conducted research, promising directions for developing scientometric systems are formulated.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10559-019-00158-z</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1060-0396 |
ispartof | Cybernetics and systems analysis, 2019-05, Vol.55 (3), p.503-513 |
issn | 1060-0396 1573-8337 |
language | eng |
recordid | cdi_proquest_journals_2231979510 |
source | SpringerLink Journals - AutoHoldings |
subjects | Artificial Intelligence Bibliometrics Competition (Economics) Control Informetrics Mathematics Mathematics and Statistics Methods Processor Architectures Quality control Scientists Scientometrics Software Engineering/Programming and Operating Systems Sustainable development Systems Theory Technology Webometrics |
title | A Survey of Informetric Methods and Technologies |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T23%3A04%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Survey%20of%20Informetric%20Methods%20and%20Technologies&rft.jtitle=Cybernetics%20and%20systems%20analysis&rft.au=Hlavcheva,%20Yu.%20M.&rft.date=2019-05-01&rft.volume=55&rft.issue=3&rft.spage=503&rft.epage=513&rft.pages=503-513&rft.issn=1060-0396&rft.eissn=1573-8337&rft_id=info:doi/10.1007/s10559-019-00158-z&rft_dat=%3Cgale_proqu%3EA596818716%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2231979510&rft_id=info:pmid/&rft_galeid=A596818716&rfr_iscdi=true |