Integration of Flight Simulators and Geographic Databases. - Alexandra Diehl; Horacio Abbate; Claudio Delrieux; Juliana Gambini (CLEI Electron. J., 2009)

Exploring trajectory data using ComVis CMV tool VAST 2015 Mini-Challenge 1. - Kresimir Matkovic; Denis Gracanin; Rainer Splechtna; Alexandra Diehl; Mai El-Shehaly; Claudio Delrieux (VAST, 2015)

Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting. - Alexandra Diehl; Leandro Pelorosso; Claudio Delrieux; Celeste Saulo; Juan Ruiz 002; M. Eduard Gröller; Stefan Bruckner (Comput. Graph. Forum, 2015)

Bus Lines Explorer: Interactive Exploration of Public Transportation Data. - Rainer Splechtna; Alexandra Diehl; Mai Elshehaly; Claudio Delrieux; Denis Gracanin; Kresimir Matkovic (VINCI, 2016)

ITEA - interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data. - Lena Cibulski; Denis Gracanin; Alexandra Diehl; Rainer Splechtna; Mai Elshehaly; Claudio Delrieux; Kresimir Matkovic (Vis. Comput., 2016)

SIZE: Satellite Image Zooming and Exploration. - Udo Schlegel; Alexandra Diehl; Daniel A. Keim (VAST, 2017)

Visual Analysis of Geolocated Echo Chambers in Social Media. - Michael Hundt; Bruno Schneider; Mennatallah El-Assady; Daniel A. Keim; Alexandra Diehl (EuroVis (Posters), 2017)

Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting. - Alexandra Diehl; Leandro Pelorosso; Claudio Delrieux; Kresimir Matkovic; Juan Ruiz 002; M. Eduard Gröller; Stefan Bruckner (Comput. Graph. Forum, 2017)

Visual Integration of Data and Model Space in Ensemble Learning. - Bruno Schneider; Dominik Jäckle; Florian Stoffel; Alexandra Diehl; Johannes Fuchs 001; Daniel A. Keim (CoRR, 2017)

SocialOcean: Visual Analysis and Characterization of Social Media Bubbles. - Alexandra Diehl; Michael Hundt; Johannes Häussler; Daniel Seebacher; Siming Chen 001; Nida Cilasun; Daniel A. Keim; Tobias Schreck (BDVA, 2018)

VisGuides: A Forum for Discussing Visualization Guidelines. - Alexandra Diehl; Alfie Abdul-Rahman; Mennatallah El-Assady; Benjamin Bach; Daniel A. Keim; Min Chen 001 (EuroVis (Short Papers), 2018)

Quality Metrics for Information Visualization. - Michael Behrisch 001; Michael Blumenschein; Nam Wook Kim; Lin Shao 001; Mennatallah El-Assady; Johannes Fuchs 001; Daniel Seebacher; Alexandra Diehl; Ulrik Brandes; Hanspeter Pfister; Tobias Schreck; Daniel Weiskopf; et al. (Comput. Graph. Forum, 2018)

Tiled Stereoscopic 3D Display Wall - Concept, Applications and Evaluation. - Björn Sommer 001; Alexandra Diehl; Michael Aichem; Philipp Meschenmoser; Kim Rehberg; David Weber; Ying Zhang; Karsten Klein 001; Daniel A. Keim; Falk Schreiber (SD&A, 2019)

A Comparison of Radial and Linear Charts for Visualizing Daily Pattern. - Manuela Waldner; Alexandra Diehl; Denis Gracanin; Rainer Splechtna; Claudio Delrieux; Kresimir Matkovic (CoRR, 2019)

LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization. - Alireza Amiraghdam; Alexandra Diehl; Renato Pajarola (Comput. Graph. Forum, 2020)

Studying Visualization Guidelines According to Grounded Theory. - Alexandra Diehl; Matthias Kraus 002; Alfie Abdul-Rahman; Mennatallah El-Assady; Benjamin Bach; Robert S. Laramee; Daniel A. Keim; Min Chen 001 (CoRR, 2020)

A Comparison of Radial and Linear Charts for Visualizing Daily Patterns. - Manuela Waldner; Alexandra Diehl; Denis Gracanin; Rainer Splechtna; Claudio Delrieux; Kresimir Matkovic (IEEE Trans. Vis. Comput. Graph., 2020)

Visualization Resources: A Starting Point. - Xiaoxiao Liu; Mohammad Alharbi; Joe Best; Jian Chen 006; Alexandra Diehl; Elif E. Firat; Dylan Rees; Qiru Wang; Robert S. Laramee (IV, 2021)

DanceMoves: A Visual Analytics Tool for Dance Movement Analysis. - Vasiliki Arpatzoglou; Artemis Kardara; Alexandra Diehl; Barbara Flueckiger; Sven Helmer; Renato Pajarola (EuroVis (Short Papers), 2021)

Hornero: Thunderstorms Characterization using Visual Analytics. - Alexandra Diehl; Leandro Pelorosso; Juan Ruiz 002; Renato Pajarola; M. Eduard Gröller; Stefan Bruckner (Comput. Graph. Forum, 2021)

Integrating Data and Model Space in Ensemble Learning by Visual Analytics. - Bruno Schneider; Dominik Jäckle; Florian Stoffel; Alexandra Diehl; Johannes Fuchs 001; Daniel A. Keim (IEEE Trans. Big Data, 2021)

LOOPS: LOcally Optimized Polygon Simplification. - Alireza Amiraghdam; Alexandra Diehl; Renato Pajarola (Comput. Graph. Forum, 2022)

Characterizing Grounded Theory Approaches in Visualization. - Alexandra Diehl; Alfie Abdul-Rahman; Benjamin Bach; Mennatallah El-Assady; Matthias Kraus 002; Robert S. Laramee; Min Chen 001 (CoRR, 2022)

Reflections and Considerations on Running Creative Visualization Learning Activities. - Jonathan C. Roberts; Benjamin Bach; Magdalena Boucher; Fanny Chevalier; Alexandra Diehl; Uta Hinrichs; Samuel Huron; Andy Kirk; Søren Knudsen; Isabel Meirelles; Rebecca Noonan; Laura Pelchmann; et al. (CoRR, 2022)

Visualization Resources: A Survey. - Xiaoxiao Liu; Mohammad Alharbi; Jian Chen 006; Alexandra Diehl; Dylan Rees; Elif E. Firat; Qiru Wang; Robert S. Laramee (Inf. Vis., 2023)

WeaVA: Weather Event Characterization Based on Citizen Reports. - Dominique Haessig; Haiyan Yang; Renato Pajarola; Alexandra Diehl (EnvirVis@EuroVis, 2024)

SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features. - Xiao Tan; Ünsal Satan; Jonas Zellweger; Gaudenz Halter; Barbara Flückiger; Renato Pajarola; Alexandra Diehl (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2025)

An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization. - Alexandra Diehl; Alfie Abdul-Rahman; Benjamin Bach; Mennatallah El-Assady; Matthias Kraus 002; Robert S. Laramee; Daniel A. Keim; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2025)