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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21edffffeaf4c14d3c1e58069238952bd/hermann",         
         "tags" : [
            "literature","browser}","analytics","of","{Visual","bibliographic","dissemination;","data;","documents;"
         ],
         
         "intraHash" : "1edffffeaf4c14d3c1e58069238952bd",
         "interHash" : "b3ab555f6832b7de64dc06715ea8292d",
         "label" : "Visual Analysis and Dissemination of Scientific Literature Collections\n   with SurVis",
         "user" : "hermann",
         "description" : "",
         "date" : "2017-05-18 11:32:12",
         "changeDate" : "2017-05-18 09:32:12",
         "count" : 7,
         "pub-type": "article",
         "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS","publisher":"IEEE COMPUTER SOC","address":"10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA",
         "year": "{2016}", 
         "url": "", 
         
         "author": [ 
            "Fabian Beck","Sebastian Koch","Daniel Weiskopf"
         ],
         "authors": [
         	
            	{"first" : "Fabian",	"last" : "Beck"},
            	{"first" : "Sebastian",	"last" : "Koch"},
            	{"first" : "Daniel",	"last" : "Weiskopf"}
         ],
         "volume": "22","number": "1","pages": "180-189","note": "10th IEEE Conference on Visual Analytics Science and Technology (VAST) /\n   IEEE VIS Conference, Chicago, IL, OCT 25-30, 2015","abstract": "Bibliographic data such as collections of scientific articles and\n   citation networks have been studied extensively in information\n   visualization and visual analytics research. Powerful systems have been\n   built to support various types of bibliographic analysis, but they\n   require some training and cannot be used to disseminate the insights\n   gained. In contrast, we focused on developing a more accessible visual\n   analytics system, called SurVis, that is ready to disseminate a\n   carefully surveyed literature collection. The authors of a survey may\n   use our Web-based system to structure and analyze their literature\n   database. Later, readers of the survey can obtain an overview, quickly\n   retrieve specific publications, and reproduce or extend the original\n   bibliographic analysis. Our system employs a set of selectors that\n   enable users to filter and browse the literature collection as well as\n   to control interactive visualizations. The versatile selector concept\n   includes selectors for textual search, filtering by keywords and\n   meta-information, selection and clustering of similar publications, and\n   following citation links. Agreement to the selector is represented by\n   word-sized sparkline visualizations seamlessly integrated into the user\n   interface. Based on an analysis of the analytical reasoning process. we\n   derived requirements for the system. We developed the system in a\n   formative way involving other researchers writing literature surveys. A\n   questionnaire study with 14 visual analytics experts confirms that\n   SurVis meets the initially formulated requirements.",
         "author-email" : "fabian.beck@visus.uni-stuttgart.de\n   sebastian.koch@visus.uni-stuttgart.de\n   weiskopf@visus.uni-stuttgart.de",
         
         "issn" : "1077-2626",
         
         "keywords-plus" : "VISUALIZATION; ANALYTICS",
         
         "funding-acknowledgement" : "Baden-Wurttemberg Stiftung",
         
         "research-areas" : "Computer Science",
         
         "eissn" : "1941-0506",
         
         "number-of-cited-references" : "37",
         
         "affiliation" : "Beck, F (Reprint Author), Univ Stuttgart, VISUS, Stuttgart, Germany.\n   Beck, Fabian; Koch, Sebastian; Weiskopf, Daniel, Univ Stuttgart, VISUS, Stuttgart, Germany.",
         
         "web-of-science-categories" : "Computer Science, Software Engineering",
         
         "funding-text" : "We thank all people providing feedback on the system, in particular, the\n   early users of SurVis and all participants of the questionnaire study.\n   Fabian Beck is indebted to the Baden-Wurttemberg Stiftung for the\n   financial support of this research project within the Postdoctoral\n   Fellowship for Leading Early Career Researchers.",
         
         "language" : "English",
         
         "times-cited" : "2",
         
         "doi" : "10.1109/TVCG.2015.2467757",
         
         "bibtexKey": "ISI:000364043400023"

      }
	  
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}