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Publication search results
found 22 matches
- 2020
- Min Chen, Darren J. Edwards:
"Isms" in Visualization. Foundations of Data Visualization 2020: 225-241 - Alfie Abdul-Rahman, Min Chen, David H. Laidlaw:
A Survey of Variables Used in Empirical Studies for Visualization. Foundations of Data Visualization 2020: 161-179 - Johanna Beyer, Charles D. Hansen, Mario Hlawitschka, Ingrid Hotz, Barbora Kozlíková, Gerik Scheuermann, Markus Stommel, Marc Streit, Johannes Waschke, Thomas Wischgoll, Yong Wan:
Case Studies for Working with Domain Experts. Foundations of Data Visualization 2020: 255-278 - Fabian Bolte, Stefan Bruckner:
Measures in Visualization Space. Foundations of Data Visualization 2020: 39-59 - Michael Böttinger
:
Reaching Broad Audiences from a Research Institute Setting. Foundations of Data Visualization 2020: 307-318 - Michael Böttinger, Helen-Nicole Kostis, Maria Velez-Rojas, Penny Rheingans, Anders Ynnerman:
Reflections on Visualization for Broad Audiences. Foundations of Data Visualization 2020: 297-305 - Michael Böttinger, Helen-Nicole Kostis, Anders Ynnerman:
Challenges and Open Issues in Visualization for Broad Audiences. Foundations of Data Visualization 2020: 381-389 - Mario Hlawitschka, Gerik Scheuermann, Christian Blecha, Marc Streit, Amitabh Varshney:
Collaborating Successfully with Domain Experts. Foundations of Data Visualization 2020: 285-293 - Ingrid Hotz, Roxana Bujack, Christoph Garth, Bei Wang:
Mathematical Foundations in Visualization. Foundations of Data Visualization 2020: 87-119 - Helen-Nicole Kostis, Miguel O. Roman, Virginia L. Kalb, Eleanor C. Stokes, Ranjay M. Shrestha, Zhuosen Wang, Lori Schultz, Qingsong Sun, Jordan R. Bell, Andrew L. Molthan, Ryan Boller, Assaf Anyamba:
Reaching Broad Audiences from a Large Agency Setting. Foundations of Data Visualization 2020: 319-340 - G. Elisabeta Marai, Torsten Möller:
The Fabric of Visualization. Foundations of Data Visualization 2020: 5-14 - Kresimir Matkovic, Thomas Wischgoll, David H. Laidlaw:
Empirical Evaluations with Domain Experts. Foundations of Data Visualization 2020: 181-194 - Silvia Miksch, Heike Leitte, Min Chen:
Knowledge-Assisted Visualization and Guidance. Foundations of Data Visualization 2020: 61-85 - Daniela Oelke, Ariane Sutor:
Collaborations Between Industry and University. Foundations of Data Visualization 2020: 279-283 - Bernhard Preim, Alark Joshi:
Evaluation of Visualization Systems with Long-Term Case Studies. Foundations of Data Visualization 2020: 195-208 - Penny Rheingans, Helen-Nicole Kostis, Paulo A. Oemig, Geraldine B. Robbins, Anders Ynnerman:
Reaching Broad Audiences in an Educational Setting. Foundations of Data Visualization 2020: 365-380 - Ivan Viola, Min Chen, Tobias Isenberg:
Visual Abstraction. Foundations of Data Visualization 2020: 15-37 - Daniel Weiskopf:
Vis4Vis: Visualization for (Empirical) Visualization Research. Foundations of Data Visualization 2020: 209-224 - Ross T. Whitaker, Ingrid Hotz:
Transformations, Mappings, and Data Summaries. Foundations of Data Visualization 2020: 121-157 - Anders Ynnerman, Patric Ljung, Alexander Bock:
Reaching Broad Audiences from a Science Center or Museum Setting. Foundations of Data Visualization 2020: 341-364 - Caroline Ziemkiewicz, Min Chen, David H. Laidlaw, Bernhard Preim, Daniel Weiskopf:
Open Challenges in Empirical Visualization Research. Foundations of Data Visualization 2020: 243-252 - Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann:
Foundations of Data Visualization. Springer 2020, ISBN 978-3-030-34443-6 [contents]
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