Perceptual principles for scalable sequence alignment visualization. - Danielle Albers; Michael Gleicher (APGV, 2010)

Visual comparison for information visualization. - Michael Gleicher; Danielle Albers; Rick Walker; Ilir Jusufi; Charles D. Hansen; Jonathan C. Roberts (Inf. Vis., 2011)

Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization. - Danielle Albers; Colin N. Dewey; Michael Gleicher (IEEE Trans. Vis. Comput. Graph., 2011)

Comparing averages in time series data. - Michael Correll; Danielle Albers; Steven Franconeri; Michael Gleicher (CHI, 2012)

Navigating reductionism and holism in evaluation. - Michael Correll; Eric C. Alexander; Danielle Albers; Alper Sarikaya 001; Michael Gleicher (BELIV, 2014)

Task-driven evaluation of aggregation in time series visualization. - Danielle Albers; Michael Correll; Michael Gleicher (CHI, 2014)

An Engineering Model for Color Difference as a Function of Size. - Maureen Stone 002; Danielle Albers Szafir; Vidya Setlur (CIC, 2014)

Adapting Color Difference for Design. - Danielle Albers Szafir; Maureen Stone 002; Michael Gleicher (CIC, 2014)

Visualizing Validation of Protein Surface Classifiers. - Alper Sarikaya 001; Danielle Albers; Jake Mitchell; Michael Gleicher (Comput. Graph. Forum, 2014)

Visualization-Aware Color Design. - Danielle Albers Szafir; Michael Gleicher (EuroVis (Posters), 2016)

TextDNA: Visualizing Word Usage with Configurable Colorfields. - Danielle Albers Szafir; D. Stuffer; Y. Sohail; Michael Gleicher (Comput. Graph. Forum, 2016)

Lightness Constancy in Surface Visualization. - Danielle Albers Szafir; Alper Sarikaya 001; Michael Gleicher (IEEE Trans. Vis. Comput. Graph., 2016)

Characteristics of Zika Behavior Discourse on Twitter. - Ashlynn R. Daughton; Dasha Pruss; Brad Arnot; Danielle Albers Szafir; Michael J. Paul (SMM4H@AMIA, 2017)

Becoming butterflies: interactive embodiment of the butterfly lifecycle. - Annie Kelly; Matt Whitlock; Brielle Nickoloff; Angel Lam; Danielle Albers Szafir; Stephen Voida (UbiComp/ISWC Adjunct, 2017)

Designing for Depth Perceptions in Augmented Reality. - Catherine Diaz; Michael E. Walker; Danielle Albers Szafir; Daniel Szafir (ISMAR, 2017)

Information science at CU Boulder. - Casey Fiesler; William Aspray; Lecia Barker; Jed R. Brubaker; Laura Devendorf; Brian Keegan; Leysia Palen; Michael J. Paul; Danielle Albers Szafir; Ricarose Roque; Rick Robinson; Amy Voida; et al. (Interactions, 2017)

Interacting with Distant Objects in Augmented Reality. - Matt Whitlock; Ethan Harnner; Jed R. Brubaker; Shaun K. Kane; Danielle Albers Szafir (VR, 2018)

Design Factors for Summary Visualization in Visual Analytics. - Alper Sarikaya 001; Michael Gleicher; Danielle Albers Szafir (Comput. Graph. Forum, 2018)

The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them). - Danielle Albers Szafir (Interactions, 2018)

Modeling Color Difference for Visualization Design. - Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2018)

Measuring the Separability of Shape, Size, and Color in Scatterplots. - Stephen Smart; Danielle Albers Szafir (CHI, 2019)

Broadening Intellectual Diversity in Visualization Research Papers. - Bongshin Lee; Kate Isaacs; Danielle Albers Szafir; G. Elisabeta Marai; Cagatay Turkay; Melanie Tory; Sheelagh Carpendale; Alex Endert; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2019)

Where's My Data? Evaluating Visualizations with Missing Data. - Hayeong Song; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2019)

A Survey of Data and Encodings in Word Clouds. - Muyang Shi; Danielle Albers Szafir; Eric Carlson Alexander (DH, 2020)

MRCAT: In Situ Prototyping of Interactive AR Environments. - Matt Whitlock; Jake Mitchell; Nick Pfeufer; Brad Arnot; Ryan Craig; Bryce Wilson; Brian Chung; Danielle Albers Szafir (HCI (10), 2020)

HydrogenAR: Interactive Data-Driven Presentation of Dispenser Reliability. - Matt Whitlock; Danielle Albers Szafir; Kenny Gruchalla (ISMAR, 2020)

Graphical Perception for Immersive Analytics. - Matt Whitlock; Stephen Smart; Danielle Albers Szafir (VR, 2020)

In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems. - Michael L. Iuzzolino; Tetsumichi Umada; Nisar R. Ahmed; Danielle Albers Szafir (CoRR, 2020)

Color Crafting: Automating the Construction of Designer Quality Color Ramps. - Stephen Smart; Keke Wu; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2020)

Designing for Mobile and Immersive Visual Analytics in the Field. - Matt Whitlock; Keke Wu; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2020)

Touching Information with DIY Paper Charts & AR Markers. - Sandra Bae; Ruhan Yang; Peter Gyory; Julia Uhr; Danielle Albers Szafir; Ellen Yi-Luen Do (IDC, 2021)

Grand Challenges in Immersive Analytics. - Barrett Ens; Benjamin Bach; Maxime Cordeil; Ulrich Engelke; Marcos Serrano; Wesley Willett; Arnaud Prouzeau; Christoph Anthes; Wolfgang Büschel; Cody Dunne; Tim Dwyer; Jens Grubert; et al. (CHI, 2021)

danceON: Culturally Responsive Creative Computing. - William Christopher Payne; Yoav Bergner; Mary Etta West; Carlie Charp; R. Benjamin Shapiro; Danielle Albers Szafir; Edd V. Taylor; Kayla DesPortes (CHI, 2021)

Understanding Data Accessibility for People with Intellectual and Developmental Disabilities. - Keke Wu; Emma Petersen; Tahmina Ahmad; David Burlinson; Shea Tanis; Danielle Albers Szafir (CHI, 2021)

Connecting Human-Robot Interaction and Data Visualization. - Daniel Szafir; Danielle Albers Szafir (HRI, 2021)

A Mixed Reality Supervision and Telepresence Interface for Outdoor Field Robotics. - Michael E. Walker; Zhaozhong Chen; Matthew Whitlock; David Blair; Danielle Albers Szafir; Christoffer Heckman; Daniel Szafir (IROS, 2021)

Enabling Crosscutting Visualization for Geoscience. - Danielle Albers Szafir; Francesca Samsel; Stephanie Zeller; Rick Saltus (IEEE Computer Graphics and Applications, 2021)

Inclusive data visualization for people with disabilities: a call to action. - Kim Marriott; Bongshin Lee; Matthew Butler 002; Ed Cutrell; Kirsten Ellis; Cagatay Goncu; Marti A. Hearst; Kathleen F. McCoy; Danielle Albers Szafir (Interactions, 2021)

A Design Space of Vision Science Methods for Visualization Research. - Madison A. Elliott; Christine Nothelfer; Cindy Xiong; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2021)

Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference. - Khairi Reda; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2021)

Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization. - Jeremy Muesing; Nisar R. Ahmed; Luke Burks; Michael L. Iuzzolino; Danielle Albers Szafir (J. Aerosp. Inf. Syst., 2021)

Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization. - S. Sandra Bae; Clement Zheng; Mary Etta West; Ellen Yi-Luen Do; Samuel Huron; Danielle Albers Szafir (CHI, 2022)

Visualizing Uncertainty in Multi-Source Mental Health Data. - Michael Jeffrey Daniel Hoefer; Bryce E. Schumacher; Danielle Albers Szafir; Stephen Voida (CHI Extended Abstracts, 2022)

Exploring the Benefits and Challenges of Data Physicalization. - S. Sandra Bae; Danielle Albers Szafir; Ellen Yi-Luen Do (ETIS, 2022)

Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis. - Matt-Heun Hong; Lauren A. Marsh; Jessica L. Feuston; Janet Ruppert; Jed R. Brubaker; Danielle Albers Szafir (UIST, 2022)

Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis. - Matt-Heun Hong; Lauren A. Marsh; Jessica L. Feuston; Janet Ruppert; Jed R. Brubaker; Danielle Albers Szafir (CoRR, 2022)

Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines. - Kyle Wm. Hall; Anthony Kouroupis; Anastasia Bezerianos; Danielle Albers Szafir; Christopher Collins 001 (IEEE Trans. Vis. Comput. Graph., 2022)

The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots. - Matt-Heun Hong; Jessica K. Witt; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2022)

Measuring Categorical Perception in Color-Coded Scatterplots. - Chin Tseng; Ghulam Jilani Quadri; Zeyu Wang 005; Danielle Albers Szafir (CHI, 2023)

Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities. - Keke Wu; Michelle Ho Tran; Emma Petersen; Varsha Koushik; Danielle Albers Szafir (CHI, 2023)

Effects of data distribution and granularity on color semantics for colormap data visualizations. - Clementine Zimnicki; Chin Tseng; Danielle Albers Szafir; Karen B. Schloss (IEEE VIS (Short Papers), 2023)

Reconstruction of Human Body Pose and Appearance Using Body-Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence. - Qian Zhang 066; Akshay Paruchuri; Young-Woon Cha; Jiabin Huang 001; Jade Kandel; Howard Jiang; Adrian Ilie; Andrei State; Danielle Albers Szafir; Daniel Szafir; Henry Fuchs (VR Workshops, 2023)

Rainbow Colormaps Are Not All Bad. - Colin Ware; Maureen Stone 002; Danielle Albers Szafir (IEEE Computer Graphics and Applications, 2023)

CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. - Hyeon Jeon; Ghulam Jilani Quadri; Hyunwook Lee; Paul Rosen 001; Danielle Albers Szafir; Jinwook Seo (CoRR, 2023)

Empowering People with Intellectual and Developmental Disabilities through Cognitively Accessible Visualizations. - Keke Wu; Danielle Albers Szafir (CoRR, 2023)

Inclusive Data Visualization (Dagstuhl Seminar 23252). - Bongshin Lee; Kim Marriott; Danielle Szafir; Gerhard Weber 002 (Dagstuhl Reports, 2023)

Cultivating Visualization Literacy for Children Through Curiosity and Play. - S. Sandra Bae; Rishi Vanukuru; Ruhan Yang; Peter Gyory; Ran Zhou 003; Ellen Yi-Luen Do; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2023)

Welcome: Message from the VIS 2022 General Chairs. - Danielle Szafir; David S. Ebert; Hendrik Strobelt (IEEE Trans. Vis. Comput. Graph., 2023)

Perception in Network Visualization (Dagstuhl Seminar 23051). - Karsten Klein 001; Stephen G. Kobourov; Bernice E. Rogowitz; Danielle Szafir; Jacob Miller 001 (Dagstuhl Reports, 2023)

Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities. - Keke Wu; Ghulam Jilani Quadri; Arran Zeyu Wang; David Kwame Osei-Tutu; Emma Petersen; Varsha Koushik; Danielle Albers Szafir (ASSETS, 2024)

Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types. - Feng Lin; Arran Zeyu Wang; Md Dilshadur Rahman; Danielle Albers Szafir; Ghulam Jilani Quadri (BELIV, 2024)

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning. - Matt-Heun Hong; Zachary Nolan Sunberg; Danielle Albers Szafir (CHI, 2024)

PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment. - Jade Kandel; Chelsea Duppen; Qian Zhang 066; Howard Jiang; Angelos Angelopoulos; Ashley Paula-Ann Neall; Pranav Wagh; Daniel Szafir; Henry Fuchs; Michael Lewek; Danielle Albers Szafir (CHI, 2024)

Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension. - Ghulam Jilani Quadri; Arran Zeyu Wang; Zhehao Wang; Jennifer Adorno Nieves; Paul Rosen 001; Danielle Albers Szafir (CHI, 2024)

Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization. - Ian Thomas; Song Young Oh; Danielle Albers Szafir (IUI, 2024)

Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes. - Chin Tseng; Arran Zeyu Wang; Ghulam Jilani Quadri; Danielle Albers Szafir (EuroVis (Short Papers), 2024)

Understanding User Needs for Injury Recovery with Augmented Reality. - Jade Kandel; Sriya Kasumarthi; Danielle Albers Szafir (CoRR, 2024)

A Computational Design Pipeline to Fabricate Sensing Network Physicalizations. - S. Sandra Bae; Takanori Fujiwara; Anders Ynnerman; Ellen Yi-Luen Do; Michael L. Rivera; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2024)

: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. - Hyeon Jeon; Ghulam Jilani Quadri; Hyunwook Lee; Paul Rosen 001; Danielle Albers Szafir; Jinwook Seo (IEEE Trans. Vis. Comput. Graph., 2024)

Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations. - Brianna L. Wimer; Laura South; Keke Wu; Danielle Albers Szafir; Michelle A. Borkin; Ronald A. Metoyer (IEEE Trans. Vis. Comput. Graph., 2024)

Uncovering How Scatterplot Features Skew Visual Class Separation. - S. Sandra Bae; Takanori Fujiwara; Chin Tseng; Danielle Albers Szafir (CHI, 2025)

Exploring annotation taxonomy in grouped bar charts: A qualitative classroom study. - Md Dilshadur Rahman; Ghulam Jilani Quadri; Danielle Albers Szafir; Paul Rosen 001 (Inf. Vis., 2025)

A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space. - Md Dilshadur Rahman; Ghulam Jilani Quadri; Bhavana Doppalapudi; Danielle Albers Szafir; Paul Rosen 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes. - Chin Tseng; Arran Zeyu Wang; Ghulam Jilani Quadri; Danielle Albers Szafir (IEEE Trans. Vis. Comput. Graph., 2025)