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Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization

Liam McNabb, Bob Laramee Orcid Logo

Computer Graphics Forum, Volume: 36, Issue: 3, Pages: 589 - 617

Swansea University Authors: Liam McNabb, Bob Laramee Orcid Logo

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DOI (Published version): 10.1111/cgf.13212

Abstract

Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995.However, as a consequence of its growth, it is increasingly difficult to follow the growing body of literature within the field.Survey papers and literature reviews are...

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Published in: Computer Graphics Forum
ISSN: 0167-7055 1467-8659
Published: Wiley 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa33251
first_indexed 2017-05-08T19:00:29Z
last_indexed 2020-08-06T02:53:23Z
id cronfa33251
recordtype SURis
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spelling 2020-08-05T10:45:54.6470791 v2 33251 2017-05-08 Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization b184c8452978b803c0698597835da064 Liam McNabb Liam McNabb true false 7737f06e2186278a925f6119c48db8b1 0000-0002-3874-6145 Bob Laramee Bob Laramee true false 2017-05-08 MACS Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995.However, as a consequence of its growth, it is increasingly difficult to follow the growing body of literature within the field.Survey papers and literature reviews are valuable tools for managing the great volume of previously published research papers,and the quantity of survey papers in visualization has reached a critical mass. To this end, this survey paper takes a quantumstep forward by surveying and classifying literature survey papers in order to help researchers understand the current landscapeof Information Visualization. It is, to our knowledge, the first survey of survey papers (SoS) in Information Visualization. Thispaper classifies survey papers into natural topic clusters which enables readers to find relevant literature and develops thefirst classification of classifications. The paper also enables researchers to identify both mature and less developed researchdirections as well as identify future directions. It is a valuable resource for both newcomers and experienced researchers in andoutside the field of Information Visualization and Visual Analytics Journal Article Computer Graphics Forum 36 3 589 617 Wiley 0167-7055 1467-8659 1 6 2017 2017-06-01 10.1111/cgf.13212 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2020-08-05T10:45:54.6470791 2017-05-08T12:59:52.2856564 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Liam McNabb 1 Bob Laramee 0000-0002-3874-6145 2
title Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
spellingShingle Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
Liam McNabb
Bob Laramee
title_short Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
title_full Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
title_fullStr Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
title_full_unstemmed Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
title_sort Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
author_id_str_mv b184c8452978b803c0698597835da064
7737f06e2186278a925f6119c48db8b1
author_id_fullname_str_mv b184c8452978b803c0698597835da064_***_Liam McNabb
7737f06e2186278a925f6119c48db8b1_***_Bob Laramee
author Liam McNabb
Bob Laramee
author2 Liam McNabb
Bob Laramee
format Journal article
container_title Computer Graphics Forum
container_volume 36
container_issue 3
container_start_page 589
publishDate 2017
institution Swansea University
issn 0167-7055
1467-8659
doi_str_mv 10.1111/cgf.13212
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
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description Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995.However, as a consequence of its growth, it is increasingly difficult to follow the growing body of literature within the field.Survey papers and literature reviews are valuable tools for managing the great volume of previously published research papers,and the quantity of survey papers in visualization has reached a critical mass. To this end, this survey paper takes a quantumstep forward by surveying and classifying literature survey papers in order to help researchers understand the current landscapeof Information Visualization. It is, to our knowledge, the first survey of survey papers (SoS) in Information Visualization. Thispaper classifies survey papers into natural topic clusters which enables readers to find relevant literature and develops thefirst classification of classifications. The paper also enables researchers to identify both mature and less developed researchdirections as well as identify future directions. It is a valuable resource for both newcomers and experienced researchers in andoutside the field of Information Visualization and Visual Analytics
published_date 2017-06-01T07:04:42Z
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score 11.047306

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