A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022)
Cognitive map is a comprehensive research field of many disciplines, such as psychology, geography, computer science and sociology. This multidisciplinary synthesis actually reflects the complexity of the cognitive map itself, which until now has lacked a unified conceptual definition because of its...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2023-01, Vol.11, p.1-1 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | IEEE access |
| container_volume | 11 |
| creator | Qu, Huimin Nordin, Nikmatul Adha Tsong, Teh Bor Feng, Xiaowei |
| description | Cognitive map is a comprehensive research field of many disciplines, such as psychology, geography, computer science and sociology. This multidisciplinary synthesis actually reflects the complexity of the cognitive map itself, which until now has lacked a unified conceptual definition because of its complexity. The literature on cognitive maps is increasing year by year, but there are few bibliometric studies on cognitive maps. In order to fill this gap, this paper uses literature relations and visualization tool VOSviewer software to systematically review, cluster, country, author cooperation and keyword analysis of cognitive map documentation data in different fields, to understand the study hotspots and development situation of cognitive maps in different disciplines. This research found that the number of documents published in the past five years (2018-2022) increased the most, with nearly a third of the total number of studies published. Cognitive maps mainly focused on four research areas: computer science, engineering electrical electronic, geography, neuroscience and psychology. This study draws its scientific overview through bibliometrics, explores the global profile, theme change and frontier trend of cognitive map research results, and provides the direction and way for future research. |
| doi_str_mv | 10.1109/ACCESS.2023.3279198 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_10131936</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10131936</ieee_id><doaj_id>oai_doaj_org_article_ba2809ae0bdc429ea4a77c3f906e1157</doaj_id><sourcerecordid>2823186077</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-6fd99985781d131ef64faa433569b126a916bce21f9c38330f7df386904c657b3</originalsourceid><addsrcrecordid>eNpNUcFu1DAQjRBIVKVfAAdLXOCQxfYktue4RKVUKgKpgLhZE8euvErXi51F6t_jJRXqXGb09N4be17TvBZ8IwTHD9thuLy93UguYQNSo0DzrDmTQmELPajnT-aXzUUpO17LVKjXZ82vLfsYxzmme7_k6Aqj_cR-xnKkmW33ND-UWFgK7GpOY4W-HSvX0RLTvrCQMhvS3T4u8Y9nX-jA3gnUvK0vke9fNS8CzcVfPPbz5seny-_D5_bm69X1sL1pHfS4tCpMiGh6bcQkQPigukDUAfQKRyEVoVCj81IEdGAAeNBTAKOQd071eoTz5nr1nRLt7CHHe8oPNlG0_4CU7yzlJbrZ25Gk4Uiej5PrJHrqSGsHAbnyQvS6er1dvQ45_T76sthdOuZ6hWKlkSCM4vrEgpXlciol-_B_q-D2lIhdE7GnROxjIlX1ZlVF7_0TRf00goK__TKD1w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2823186077</pqid></control><display><type>article</type><title>A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022)</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Qu, Huimin ; Nordin, Nikmatul Adha ; Tsong, Teh Bor ; Feng, Xiaowei</creator><creatorcontrib>Qu, Huimin ; Nordin, Nikmatul Adha ; Tsong, Teh Bor ; Feng, Xiaowei</creatorcontrib><description>Cognitive map is a comprehensive research field of many disciplines, such as psychology, geography, computer science and sociology. This multidisciplinary synthesis actually reflects the complexity of the cognitive map itself, which until now has lacked a unified conceptual definition because of its complexity. The literature on cognitive maps is increasing year by year, but there are few bibliometric studies on cognitive maps. In order to fill this gap, this paper uses literature relations and visualization tool VOSviewer software to systematically review, cluster, country, author cooperation and keyword analysis of cognitive map documentation data in different fields, to understand the study hotspots and development situation of cognitive maps in different disciplines. This research found that the number of documents published in the past five years (2018-2022) increased the most, with nearly a third of the total number of studies published. Cognitive maps mainly focused on four research areas: computer science, engineering electrical electronic, geography, neuroscience and psychology. This study draws its scientific overview through bibliometrics, explores the global profile, theme change and frontier trend of cognitive map research results, and provides the direction and way for future research.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2023.3279198</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Behavioral sciences ; Bibliometric analysis ; Bibliometrics ; Brain modeling ; cognitive map ; Cognitive maps ; Cognitive models ; Complexity ; Computer science ; Data visualization ; Documents ; Geography ; Neuroscience ; Psychology ; visualization analysis</subject><ispartof>IEEE access, 2023-01, Vol.11, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c359t-6fd99985781d131ef64faa433569b126a916bce21f9c38330f7df386904c657b3</cites><orcidid>0009-0007-7207-9677 ; 0000-0003-0794-4373 ; 0000-0002-3006-4545</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10131936$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,862,2098,27620,27911,27912,54920</link.rule.ids></links><search><creatorcontrib>Qu, Huimin</creatorcontrib><creatorcontrib>Nordin, Nikmatul Adha</creatorcontrib><creatorcontrib>Tsong, Teh Bor</creatorcontrib><creatorcontrib>Feng, Xiaowei</creatorcontrib><title>A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022)</title><title>IEEE access</title><addtitle>Access</addtitle><description>Cognitive map is a comprehensive research field of many disciplines, such as psychology, geography, computer science and sociology. This multidisciplinary synthesis actually reflects the complexity of the cognitive map itself, which until now has lacked a unified conceptual definition because of its complexity. The literature on cognitive maps is increasing year by year, but there are few bibliometric studies on cognitive maps. In order to fill this gap, this paper uses literature relations and visualization tool VOSviewer software to systematically review, cluster, country, author cooperation and keyword analysis of cognitive map documentation data in different fields, to understand the study hotspots and development situation of cognitive maps in different disciplines. This research found that the number of documents published in the past five years (2018-2022) increased the most, with nearly a third of the total number of studies published. Cognitive maps mainly focused on four research areas: computer science, engineering electrical electronic, geography, neuroscience and psychology. This study draws its scientific overview through bibliometrics, explores the global profile, theme change and frontier trend of cognitive map research results, and provides the direction and way for future research.</description><subject>Behavioral sciences</subject><subject>Bibliometric analysis</subject><subject>Bibliometrics</subject><subject>Brain modeling</subject><subject>cognitive map</subject><subject>Cognitive maps</subject><subject>Cognitive models</subject><subject>Complexity</subject><subject>Computer science</subject><subject>Data visualization</subject><subject>Documents</subject><subject>Geography</subject><subject>Neuroscience</subject><subject>Psychology</subject><subject>visualization analysis</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUcFu1DAQjRBIVKVfAAdLXOCQxfYktue4RKVUKgKpgLhZE8euvErXi51F6t_jJRXqXGb09N4be17TvBZ8IwTHD9thuLy93UguYQNSo0DzrDmTQmELPajnT-aXzUUpO17LVKjXZ82vLfsYxzmme7_k6Aqj_cR-xnKkmW33ND-UWFgK7GpOY4W-HSvX0RLTvrCQMhvS3T4u8Y9nX-jA3gnUvK0vke9fNS8CzcVfPPbz5seny-_D5_bm69X1sL1pHfS4tCpMiGh6bcQkQPigukDUAfQKRyEVoVCj81IEdGAAeNBTAKOQd071eoTz5nr1nRLt7CHHe8oPNlG0_4CU7yzlJbrZ25Gk4Uiej5PrJHrqSGsHAbnyQvS6er1dvQ45_T76sthdOuZ6hWKlkSCM4vrEgpXlciol-_B_q-D2lIhdE7GnROxjIlX1ZlVF7_0TRf00goK__TKD1w</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Qu, Huimin</creator><creator>Nordin, Nikmatul Adha</creator><creator>Tsong, Teh Bor</creator><creator>Feng, Xiaowei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0007-7207-9677</orcidid><orcidid>https://orcid.org/0000-0003-0794-4373</orcidid><orcidid>https://orcid.org/0000-0002-3006-4545</orcidid></search><sort><creationdate>20230101</creationdate><title>A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022)</title><author>Qu, Huimin ; Nordin, Nikmatul Adha ; Tsong, Teh Bor ; Feng, Xiaowei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-6fd99985781d131ef64faa433569b126a916bce21f9c38330f7df386904c657b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Behavioral sciences</topic><topic>Bibliometric analysis</topic><topic>Bibliometrics</topic><topic>Brain modeling</topic><topic>cognitive map</topic><topic>Cognitive maps</topic><topic>Cognitive models</topic><topic>Complexity</topic><topic>Computer science</topic><topic>Data visualization</topic><topic>Documents</topic><topic>Geography</topic><topic>Neuroscience</topic><topic>Psychology</topic><topic>visualization analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qu, Huimin</creatorcontrib><creatorcontrib>Nordin, Nikmatul Adha</creatorcontrib><creatorcontrib>Tsong, Teh Bor</creatorcontrib><creatorcontrib>Feng, Xiaowei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qu, Huimin</au><au>Nordin, Nikmatul Adha</au><au>Tsong, Teh Bor</au><au>Feng, Xiaowei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022)</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2023-01-01</date><risdate>2023</risdate><volume>11</volume><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Cognitive map is a comprehensive research field of many disciplines, such as psychology, geography, computer science and sociology. This multidisciplinary synthesis actually reflects the complexity of the cognitive map itself, which until now has lacked a unified conceptual definition because of its complexity. The literature on cognitive maps is increasing year by year, but there are few bibliometric studies on cognitive maps. In order to fill this gap, this paper uses literature relations and visualization tool VOSviewer software to systematically review, cluster, country, author cooperation and keyword analysis of cognitive map documentation data in different fields, to understand the study hotspots and development situation of cognitive maps in different disciplines. This research found that the number of documents published in the past five years (2018-2022) increased the most, with nearly a third of the total number of studies published. Cognitive maps mainly focused on four research areas: computer science, engineering electrical electronic, geography, neuroscience and psychology. This study draws its scientific overview through bibliometrics, explores the global profile, theme change and frontier trend of cognitive map research results, and provides the direction and way for future research.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2023.3279198</doi><tpages>1</tpages><orcidid>https://orcid.org/0009-0007-7207-9677</orcidid><orcidid>https://orcid.org/0000-0003-0794-4373</orcidid><orcidid>https://orcid.org/0000-0002-3006-4545</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2023-01, Vol.11, p.1-1 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_ieee_primary_10131936 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Behavioral sciences Bibliometric analysis Bibliometrics Brain modeling cognitive map Cognitive maps Cognitive models Complexity Computer science Data visualization Documents Geography Neuroscience Psychology visualization analysis |
| title | A Bibliometrics and Visual Analysis of Global Publications for Cognitive Map (1970-2022) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T13%3A12%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Bibliometrics%20and%20Visual%20Analysis%20of%20Global%20Publications%20for%20Cognitive%20Map%20(1970-2022)&rft.jtitle=IEEE%20access&rft.au=Qu,%20Huimin&rft.date=2023-01-01&rft.volume=11&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2023.3279198&rft_dat=%3Cproquest_ieee_%3E2823186077%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2823186077&rft_id=info:pmid/&rft_ieee_id=10131936&rft_doaj_id=oai_doaj_org_article_ba2809ae0bdc429ea4a77c3f906e1157&rfr_iscdi=true |