Rethinking Spatial Processing in Data-Intensive Science. - Christian Authmann; Christian Beilschmidt; Johannes Drönner; Michael Mattig; Bernhard Seeger (BTW Workshops, 2015)

VAT: A System for Visualizing, Analyzing and Transforming Spatial Data in Science. - Christian Authmann; Christian Beilschmidt; Johannes Drönner; Michael Mattig; Bernhard Seeger (Datenbank-Spektrum, 2015)

Interactive Data Exploration for Geoscience. - Christian Beilschmidt; Johannes Drönner; Michael Mattig; Marco Schmidt 003; Christian Authmann; Aidin Niamir; Thomas Hickler; Bernhard Seeger (BTW (Workshops), 2017)

VAT: A System for Data-Driven Biodiversity Research. - Christian Beilschmidt; Johannes Drönner; Michael Mattig; Bernhard Seeger (EDBT, 2017)

A Linear-Time Algorithm for the Aggregation and Visualization of Big Spatial Point Data. - Christian Beilschmidt; Thomas Fober; Michael Mattig; Bernhard Seeger (SIGSPATIAL/GIS, 2017)

Quality Measures for Visual Point Clustering in Geospatial Mapping. - Christian Beilschmidt; Thomas Fober; Michael Mattig; Bernhard Seeger (W2GIS, 2017)

VAT: A Scientific Toolbox for Interactive Geodata Exploration. - Christian Beilschmidt; Johannes Drönner; Michael Mattig; Marco Schmidt 003; Christian Authmann; Aidin Niamir; Thomas Hickler; Bernhard Seeger (Datenbank-Spektrum, 2017)

Kernel-Based Cardinality Estimation on Metric Data. - Michael Mattig; Thomas Fober; Christian Beilschmidt; Bernhard Seeger (EDBT, 2018)

Pretty Fly for a VAT GUI: Visualizing Event Patterns for Flight Data. - Christian Beilschmidt; Johannes Drönner; Nikolaus Glombiewski; Christian Heigele; Jana Holznigenkemper; Anna Isenberg; Michael Körber; Michael Mattig; Andreas Morgen; Bernhard Seeger (DEBS, 2019)

An Efficient Method for Exploratory Data Visualization of Big Spatial Data on Commodity Hardware. - Christian Beilschmidt; Michael Mattig; Thomas Fober; Bernhard Seeger (GI-Jahrestagung, 2019)

VAT to the Future: Extrapolating Visual Complex Event Processing. - Christian Beilschmidt; Johannes Drönner; Nikolaus Glombiewski; Michael Körber; Michael Mattig; Andreas Morgen; Bernhard Seeger (OpenSky, 2019)

An efficient aggregation and overlap removal algorithm for circle maps. - Christian Beilschmidt; Michael Mattig; Thomas Fober; Bernhard Seeger (GeoInformatica, 2019)

Efficient Point Clustering for Visualization. - Christian Beilschmidt (2019)

Geo Engine: Workflow-backed Geo Data Portals. - Christian Beilschmidt; Johannes Drönner; Michael Mattig; Philip Schweitzer; Bernhard Seeger (BTW, 2023)

On the Design and Implementation of Easy Access to External Spatiotemporal Datasets in NFDI. - Christian Beilschmidt; Dominik Brandenstein; Johannes Drönner; Nikolaus Glombiewski; Michael Mattig; Bernhard Seeger (CoRDI, 2023)

Geo Engine: Workflow-driven Geospatial Portals for Data Science. - Christian Beilschmidt; Johannes Drönner; Michael Mattig; Bernhard Seeger (Datenbank-Spektrum, 2023)

A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities. - Paulina Grigusova; Christian Beilschmidt; Maik Dobbermann; Johannes Drönner; Michael Mattig; Pablo Sanchez; Nina Farwig; Jörg Bendix (Data, 2024)

The Case for XCIP: Bridging User and Data Provider Expectations in Research Infrastructures. - Dominik Brandenstein; Christian Beilschmidt; Johannes Drönner; Nikolaus Glombiewski; Michael Mattig; Bernhard Seeger (BTW Workshops, 2025)

From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors. - Nikolaus Glombiewski; Zeyd Boukhers; Christian Beilschmidt; Johannes Drönner; Michael Mattig; Artur Piet; Robert Pietrzynski; Mehrshad Jaberansary; Macedo Maia; Sebastian Beyvers; Yeliz Üçer Yediel; Muhammad Hamza Akhtar; et al. (SAC, 2025)