Jörn Kohlhammer

Fraunhofer Institute for Computer Graphics Research

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Jürgen Bernard

University of Zurich

Kawa Nazemi

Darmstadt University of Applied Sciences

Tobias Ruppert

Fraunhofer Institute for Computer Graphics Research

Thorsten May

Fraunhofer Institute for Computer Graphics Research

Arjan Kuijper

Fraunhofer Institute for Computer Graphics Research

Dirk Burkhardt

Darmstadt University of Applied Sciences

Tobias Schreck

Graz University of Technology

Martin Steiger

University of Applied Sciences Upper Austria

Daniel A. Keim

University of Konstanz

Hendrik Lücke‐Tieke

Fraunhofer Institute for Computer Graphics Research

Cooperative Institutions

Fraunhofer Institute for Computer Graphics Research

Technical University of Darmstadt

Fraunhofer Society

Goethe University Frankfurt

Fraunhofer Institute for Algorithms and Scientific Computing

Fraunhofer Institute for Translational Medicine and Pharmacology

University Hospital Frankfurt

Graz University of Technology

University of Bonn

ETH Zurich

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

[Title page iii]

IEEE Symposium on Visualization for Cyber Security (VIZSEC) (2020)

Jörn Kohlhammer Marco Angelini Chris Bryan Rosa Romero-Gómez Nicolas Prigent

10.1109/vizsec51108.2020.00002

Cite

Citations (0)

Semantics Visualization for Fostering Search Result Comprehension

Lecture notes in computer science (2012)

Christian Stab Kawa Nazemi Matthias Breyer Dirk Burkhardt Jörn Kohlhammer

Semantic Search

Relevance

Visual Search

Phrase search

10.1007/978-3-642-30284-8_49

Cite

Citations (12)

A Geometry-Shader-Based Adaptive Mesh Refinement Scheme Using Semiuniform Quad/ Triangle Patches and Warping

VRIPHYS (2010)

Martin Knuth Jörn Kohlhammer Arjan Kuijper

Image warping

Shader

Triangle mesh

Adaptive Mesh Refinement

Computational Geometry

10.2312/pe/vriphys/vriphys10/021-029

Cite

Citations (0)

WOW-A-Cluster! A Visual Similarity-Based Approach to Log Exploration.

James Twellmeyer Arjan Kuijper Jörn Kohlhammer

Similarity (geometry)

Source

Cite

Citations (0)

A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications

Eurographics (2014)

Fabian Fischer J. G. Davey Johannes Fuchs Olivier Thonnard Jörn Kohlhammer

The analysis and exploration of emerging threats in the Internet is important to better understand the behaviour of attackers and develop new methods to enhance cyber security. Fully automated algorithms alone are often not capable of providing actionable insights about the threat landscape. We therefore combine a multi-criteria clustering algorithm, tailor-made for the identification of such attack campaigns with three interactive visualizations, namely treemap representations, interactive node-link diagrams, and chord diagrams, to allow the analysts to visually explore and make sense of the resulting multi-dimensional clusters. To demonstrate the potential of the system, we share our lessons learned in conducting a field experiment with experts in a security response team and show how it helped them to gain new insights into various threat landscapes.

Chord (peer-to-peer)

Identification

10.2312/eurova.20141144

Cite

Citations (9)

Supporting Domain Characterization in Visualization Design Studies With the Critical Decision Method

Lena Cibulski Evanthia Dimara Setia Hermawati Jörn Kohlhammer

While domain characterization has become an integral part of visualization design studies, methodological prescriptions are rare. An underrepresented aspect in existing approaches is domain expertise. Knowledge elicitation methods from cognitive science might help but have not yet received much attention for domain characterization. We propose the Critical Decision Method (CDM) to the visualization domain to provide descriptive steps that open up a knowledge-based perspective on domain characterization. The CDM uses retrospective interviews to reveal expert judgment involved in a challenging situation. We apply it to study three domain problems, reflect on our practical experience, and discuss its relevance to domain characterization in visualization research. We found the CDM's realism and subjective nature to be well suited for eliciting cognitive aspects of high-level task performance. Our insights might guide other researchers in conducting domain characterization with a focus on domain knowledge and cognition. With our work, we hope to contribute to the portfolio of meaningful methods used to inform visualization design and to stimulate discussions regarding prescriptive steps for domain characterization.

Characterization

10.1109/visguides57787.2022.00007

Cite

Citations (1)

The "EU Community" Project - Coupling the Power of Data with Community Expertise.

Antonis Ramfos Akrivi Kiousi Miltiadis Kokkonidis Christophe Leclercq David Mekkaoui

The EU Community project seeks to promote, facilitate, and ultimately exploit the synergy of a cutting-edge intelligent collaboration platform with a community of institutional actors, stakeholders, scientists, consultants, media analysts and other individuals that can make valuable contributions to EU policy debates. Its ultimate goal is to effectuate a transformation in the modus operandi of EU politics and move closer to achieving the illusive goals of improved transparency, efficiency, awareness and engagement, ultimately leading to better policies for a better European Union.

Source

Cite

Citations (0)

Reference list of 269 sources used for exploratory search

Jürgen Bernard Tobias Ruppert Maximilian Scherer Jörn Kohlhammer Tobias Schreck

Exploratory search

10.1594/pangaea.778638

Cite

Citations (1)

Supporting Collaborative Political Decision Making

Tobias Ruppert Andreas Bannach Jürgen Bernard Hendrik Lücke‐Tieke Alex Ulmer

The process of political decision making is often complex and tedious. The policy process consists of multiple steps, most of them are highly iterative. In addition, different stakeholder groups are involved in political decision making and contribute to the process. A series of textual documents accompanies the process. Examples are official documents, discussions, scientific reports, external reviews, newspaper articles, or economic white papers. Experts from the political domain report that this plethora of textual documents often exceeds their ability to keep track of the entire policy process. We present PolicyLine, a visualization system that supports different stakeholder groups in overview-and-detail tasks for large sets of textual documents in the political decision making process. In a longitudinal design study conducted together with domain experts in political decision making, we identified missing analytical functionality on the basis of a problem and domain characterization. In an iterative design phase, we created PolicyLine in close collaboration with the domain experts. Finally, we present the results of three evaluation rounds, and reflect on our collaborative visualization system.

10.1145/2968220.2968223

Cite

Citations (3)

Deterministic Local Layouts through High-Dimensional Layout Stitching

Lecture notes in computer science (2014)

Martin Steiger Hendrik Lücke‐Tieke Thorsten May Arjan Kuijper Jörn Kohlhammer

Image stitching

Graph Layout

10.1007/978-3-319-07233-3_59

Cite

Citations (1)