K. Reda. Rainbow Colormaps: What are they good and bad for? IEEE TVCG: Transactions on Visualization and Computer Graphics (in press)

R. Koonchanok, G. Tawde, G. Narayanasamy, S. Walimbe, K. Reda. Visual Belief Elicitation Reduces the Incidence of False Discovery . CHI'23: ACM Conference on Human Factors in Computing Systems. April 23–28, 2023, Hamburg, Germany (Honorable Mention for Best Paper)

K. Lu, O. K. Reda, O. Deussen, Y. Wang. Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots. CHI'23: ACM Conference on Human Factors in Computing Systems. April 23–28, 2023, Hamburg, Germany

R. Koonchanok, S. V. Daulatabad, K. Reda, S. C. Janga. Sequoia: A Framework for Visual Analysis of RNA Modifications from Direct RNA Sequencing Data. Methods in Molecular Biology, volume 2624, P. Oliveira (eds.), 2022

R. Koonchanok, S. V. Daulatabad, Q. Mir, K. Reda, S. C. Janga. Sequoia: An interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets. BMC Genomics, 22, 513 (2021)

K. Reda, A. Salvi, J. Gray, M. Pap. Color Nameability Predicts Inference Accuracy in Spatial Visualizations. Computer Graphics Forum (Proceedings of EuroVis '21), 2021 (Best Paper award)

Data Prophecy: Exploring the Effects of Belief Elicitation in Visual Analytics. R. Koonchanok, P. Baser, A. Sikharam, N. K. Raveendranath, K. Reda. In Proceedings of CHI'21 Conference on Human Factors in Computing Systems, 2021

K. Reda, D. A. Szafir. Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS'20), 2021

J. Heyer, N. K. Raveendranath, K. Reda. Pushing the (Visual) Narrative: the Effects of Prior Knowledge Elicitation in Provocative Topics. In Proceedings of CHI'20: ACM Conference on Human Factors in Computing Systems. Honolulu, HI, April 25-30, 2020

K. Reda, M. Papka. Evaluating Gradient Perception in Color-Coded Scalar Fields. In Proceedings of VIS'19: IEEE Conference on Visualization. Vancouver, BC, Canada, Oct 20-25, 2019

K. Reda, C. Potts, T. Childers. Dynamic Glyphs: Appropriating Causality Perception in Multivariate Visual Analysis. In Vis X Vision: Novel Directions in Vision Science and Visualization Research. Vancouver, BC, Canada, Oct 20, 2019

I. K. Choi, N. K. Raveendranath, J. Westerfield, K. Reda. Visual (dis)Confirmation: Validating Models and Hypotheses with Visualizations. In Proceedings of the 16th International Conference Computer Graphics, Imaging and Visualization (CGiV). Adelaide, Australia, July 16-19, 2019, IEEE

I. K. Choi, T. Childers, N. K. Raveendranath, S. Mishra, K. Harris, K. Reda. Concept-Driven Visual Analytics: an Exploratory Study of Model- and Hypothesis-Based Reasoning with Visualizations. In Proceedings of CHI'19: ACM Conference on Human Factors in Computing Systems. Glasgow, Scotland, UK, May 4-9, 2019

K. Reda, P. Nalawade, K. Ansah-Koi. Graphical Perception of Continuous Quantitative Maps: the Effects of Spatial Frequency and Colormap Design. In Proceedings of CHI'18: ACM Conference on Human Factors in Computing Systems. Montreal, QC, Canada, April 21-26, 2018

T. Fujiwara, P. Malakar, K. Reda, V. Vishwanath, M. Papka, K-L. Ma. A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. In Proceedings of VAST'17: IEEE Conference on Visual Analytics Science and Technology. Phoenix, AZ, October 1-6, 2017 (in press)

I. K. Choi, S. Mishra, K. Harris, N. K. Raveendranath, T. Childers, K. Reda. Towards Concept-Driven Visual Analytics. IEEE VIS posters, 2018, Berlin, Germany

J. Casey, B. Ji, S. Shaoie, A. Mardinoglu, P. Sarathi Sen, O. Jahn, K. Reda, K., J. Leigh, M. J. Follows, J. Nielsen, D. M. Karl. A Prochlorococcus proving ground for constraint-based metabolic modeling and multi-`omics data integration American Geophysical Union, Ocean Sciences Meeting, New Orleans, LA, 2016

J. Aurisano, A. Kumar, A. Gonzalez, K. Reda, J. Leigh, B. Di Eugenio, A. Johnson. "Show Me Data": Observational study of a conversational interface in visual data exploration IEEE Conference on Information Visualization (VIS'15), Chicago, IL, Oct 25-30, 2015 (Honorable Mention)

J. Aurisano, K. Reda, A. Johnson, J. Leigh. Bacterial Gene Neighborhood Investigation Environment: A Large-Scale Genome Visualization for Big Displays. IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV'14), Paris, France, Nov 9-10, 2014 (Best Poster award)