activity
20202026
most citedVisual Analytics for Temporal Hypergraph Model Exploration

33 citations · 83 across the 18 of their papers we have counts for

collaborators

20 papers

cs.HC2026

Lexplorer: Navigating the Complexity of Legal Document Landscapes

Daniel Fürst, Titus Pünder, Maximilian T. Fischer +1

As technological and social innovations create novel regulatory challenges, legal systems grow in complexity - increasing the need for interfaces that enable effective interactions…

cs.HC2025

SemanticTours: A Conceptual Framework for Non-Linear, Knowledge Graph-Driven Data Tours

Daniel Fürst, Matthijs Jansen op de Haar, Mennatallah El-Assady +2

Interactive tours help users explore datasets and provide onboarding. They rely on a linear sequence of views, showing a curated set of relevant data selections and introduce user…

eess.SY2025

Toward a Decision Support System for Energy-Efficient Ferry Operation on Lake Constance based on Optimal Control

Hannes Homburger, Bastian Jäckl, Stefan Wirtensohn +5

The maritime sector is undergoing a disruptive technological change driven by three main factors: autonomy, decarbonization, and digital transformation. Addressing these factors ne…

cs.LG2025★ 5 cited

Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviews

Lucas Joos, Daniel A. Keim, Maximilian T. Fischer

The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filt…

cs.HC2025

Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings

Lucas Joos, Gavin J. Mooney, Maximilian T. Fischer +4

The visual analysis of graphs in 3D has become increasingly popular, accelerated by the rise of immersive technology, such as augmented and virtual reality. Unlike 2D drawings, 3D…

cs.HC2025

Visual Network Analysis in Immersive Environments: A Survey

Lucas Joos, Maximilian T. Fischer, Julius Rauscher +4

The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as…

cs.CV2024★ 1 cited

Leveraging Color Channel Independence for Improved Unsupervised Object Detection

Bastian Jäckl, Yannick Metz, Udo Schlegel +2

Object-centric architectures can learn to extract distinct object representations from visual scenes, enabling downstream applications on the object level. Similarly to autoencoder…

cs.HC2024★ 1 cited

Challenges and Opportunities for Visual Analytics in Jurisprudence

Daniel Fürst, Mennatallah El-Assady, Daniel A. Keim +1

Legal exploration, analysis, and interpretation remain complex and demanding tasks, even for experienced legal scholars, due to the domain-specific language, tacit legal concepts,…

cs.HC2024★ 1 cited

Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent

Yannick Metz, Dennis Ackermann, Daniel A. Keim +1

Efficient public transport systems are crucial for sustainable urban development as cities face increasing mobility demands. Yet, many public transport networks struggle to meet di…

cs.HC2024

MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music

Matthias Miller, Daniel Fürst, Maximilian T. Fischer +3

Manual melody detection is a tedious task requiring high expertise level, while automatic detection is often not expressive or powerful enough. Thus, we present MelodyVis, a visual…

cs.LG2024★ 4 cited

Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews

Lucas Joos, Daniel A. Keim, Maximilian T. Fischer

Systematic literature reviews (SLRs) are essential but labor-intensive due to high publication volumes and inefficient keyword-based filtering. To streamline this process, we evalu…

cs.HC2024★ 6 cited

The Categorical Data Map: A Multidimensional Scaling-Based Approach

Frederik L. Dennig, Lucas Joos, Patrick Paetzold +4

Categorical data does not have an intrinsic definition of distance or order, and therefore, established visualization techniques for categorical data only allow for a set-based or…

cs.HC2024★ 1 cited

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework

Maximilian T. Fischer, Yannick Metz, Lucas Joos +2

AI-driven models are increasingly deployed in operational analytics solutions, for instance, in investigative journalism or the intelligence community. Current approaches face two…

cs.HC2022★ 1 cited

Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications

Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner +3

Digital systems for analyzing human communication data have become prevalent in recent years. Intelligence analysis of communications data in investigative journalism, criminal int…

cs.HC2021★ 8 cited

CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling

Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova +2

Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network an…

cs.HC2021★ 1 cited

Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers

Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher +2

The automated analysis of digital human communication data often focuses on specific aspects such as content or network structure in isolation. This can provide limited perspective…

cs.HC2021★ 2 cited

Towards a Survey of Visualization Methods for Power Grids

Maximilian T. Fischer, Daniel A. Keim

With the ongoing emergence of smart and distributed grids, it becomes increasingly important to understand as well as improve legacy infrastructure while operating a much more inte…

cs.SI2021★ 5 cited

Visual Analytics of Conversational Dynamics

Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova +2

Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns within individual conversations. To facilitate th…

cs.CV2021★ 14 cited

Video-based Analysis of Soccer Matches

Maximilian T. Fischer, Daniel A. Keim, Manuel Stein

With the increasingly detailed investigation of game play and tactics in invasive team sports such as soccer, it becomes ever more important to present causes, actions and findings…

cs.HC2020★ 33 cited

Visual Analytics for Temporal Hypergraph Model Exploration

Maximilian T. Fischer, Devanshu Arya, Dirk Streeb +3

Many processes, from gene interaction in biology to computer networks to social media, can be modeled more precisely as temporal hypergraphs than by regular graphs. This is because…