Daniel Weiskopf

11.9k total citations
388 papers, 8.0k citations indexed

About

Daniel Weiskopf is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Daniel Weiskopf has authored 388 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 287 papers in Computer Vision and Pattern Recognition, 123 papers in Computer Graphics and Computer-Aided Design and 67 papers in Computational Mechanics. Recurrent topics in Daniel Weiskopf's work include Data Visualization and Analytics (196 papers), Computer Graphics and Visualization Techniques (122 papers) and Advanced Vision and Imaging (64 papers). Daniel Weiskopf is often cited by papers focused on Data Visualization and Analytics (196 papers), Computer Graphics and Visualization Techniques (122 papers) and Advanced Vision and Imaging (64 papers). Daniel Weiskopf collaborates with scholars based in Germany, United States and Canada. Daniel Weiskopf's co-authors include Michael Burch, Thomas Ertl, Fabian Beck, Kuno Kurzhals, Klaus Engel, Stephan Diehl, Julian Heinrich, Corinna Vehlow, James W. Tanaka and Markus Hadwiger and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Trends in Cognitive Sciences.

In The Last Decade

Daniel Weiskopf

368 papers receiving 7.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Weiskopf 5.4k 2.1k 1.3k 1.1k 1.1k 388 8.0k
Thomas Ertl 5.3k 1.0× 4.0k 1.9× 1.0k 0.8× 2.4k 2.1× 700 0.7× 469 8.8k
Kwan‐Liu Ma 5.9k 1.1× 2.8k 1.3× 1.6k 1.3× 1.1k 0.9× 348 0.3× 433 8.7k
Jarke J. van Wijk 5.2k 1.0× 1.8k 0.9× 1.5k 1.2× 1000 0.9× 250 0.2× 177 7.5k
Hanspeter Pfister 11.0k 2.0× 4.7k 2.2× 1.7k 1.3× 3.3k 2.9× 1.0k 1.0× 338 17.5k
Maneesh Agrawala 9.5k 1.8× 2.1k 1.0× 1.3k 1.1× 1.1k 1.0× 2.1k 2.0× 222 13.2k
Carlo Tomasi 12.7k 2.4× 1.0k 0.5× 1.6k 1.3× 1.2k 1.0× 317 0.3× 91 17.2k
Helwig Hauser 4.1k 0.8× 1.9k 0.9× 1.1k 0.9× 817 0.7× 161 0.2× 171 5.5k
Yue Gao 7.4k 1.4× 525 0.2× 3.7k 2.9× 2.0k 1.7× 250 0.2× 380 13.2k
David Luebke 3.9k 0.7× 2.7k 1.3× 799 0.6× 1.7k 1.5× 1.4k 1.4× 121 9.3k
Pat Hanrahan 12.9k 2.4× 9.9k 4.7× 1.4k 1.1× 5.4k 4.7× 1.1k 1.1× 231 20.7k

Countries citing papers authored by Daniel Weiskopf

Since Specialization
Citations

This map shows the geographic impact of Daniel Weiskopf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Weiskopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weiskopf more than expected).

Fields of papers citing papers by Daniel Weiskopf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Weiskopf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Weiskopf. The network helps show where Daniel Weiskopf may publish in the future.

Co-authorship network of co-authors of Daniel Weiskopf

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Weiskopf. A scholar is included among the top collaborators of Daniel Weiskopf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Weiskopf. Daniel Weiskopf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Isenberg, Tobias, et al.. (2024). Understanding Collaborative Learning of Molecular Structures in AR With Eye Tracking. IEEE Computer Graphics and Applications. 44(6). 39–51. 1 indexed citations
2.
Fekete, Jean‐Daniel, et al.. (2022). Scalability in Visualization. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3314–3330. 18 indexed citations
3.
Burch, Michael, et al.. (2019). Overlap-free Drawing of Generalized Pythagoras Trees for Hierarchy\n Visualization. arXiv (Cornell University). 8 indexed citations
4.
Sacha, Dominik, Michael Sedlmair, Leishi Zhang, et al.. (2016). Human-centered machine learning through interactive visualization. Middlesex University Research Repository (Middlesex University Of London). 641–646. 13 indexed citations
5.
Burch, Michael & Daniel Weiskopf. (2015). Flip-Book Visualization of Dynamic Graphs.. 9. 3–21. 1 indexed citations
6.
Sadlo, Filip, et al.. (2012). Space-time Visualization of Dynamics in Lagrangian Coherent Structures of Time-dependent 2D Vector Fields.. 573–583. 3 indexed citations
7.
Weiskopf, Daniel, et al.. (2008). Interactive Volume Rendering on Mobile Devices. Fachbereich Informatik (University of Stuttgart). 17 indexed citations
8.
Moloney, Brendan, Daniel Weiskopf, Torsten Möller, & Magnus Strengert. (2007). Scalable sort-first parallel direct volume rendering with dynamic load balancing. 45–52. 19 indexed citations
9.
Weiskopf, Daniel & Helwig Hauser. (2006). Cycle shading for the assessment and visualization of shape in one and two codimensions. Graphics Interface. 219–226. 1 indexed citations
10.
Weiskopf, Daniel, et al.. (2005). Interactive Visualization of Divergence in Unsteady Flow by Level-Set Dye Advection.. 221–232. 8 indexed citations
11.
Weiskopf, Daniel & Thomas Ertl. (2004). GPU-Based 3D Texture Advection for the Visualization of Unsteady Flow Fields. Digital Library (University of West Bohemia). 259–266. 16 indexed citations
12.
Weiskopf, Daniel, et al.. (2004). The G 2 -Buffer Framework.. 287–298. 4 indexed citations
13.
Weiskopf, Daniel, Manfred Weiler, & Thomas Ertl. (2004). Maintaining constant frame rates in 3D texture-based volume rendering. 604–607. 12 indexed citations
14.
Weiskopf, Daniel & Thomas Ertl. (2004). A hybrid physical/device-space approach for spatio-temporally coherent interactive texture advection on curved surfaces. Graphics Interface. 263–270. 40 indexed citations
15.
Stegmaier, Simon, et al.. (2003). Non-invasive adaptation of black-box user interfaces. 19–24. 3 indexed citations
16.
Weiskopf, Daniel, Klaus Engel, & Thomas Ertl. (2002). Volume clipping via per-fragment operations in texture-based volume visualization. IEEE Visualization. 93–100. 40 indexed citations
17.
Diepstraten, Joachim, Daniel Weiskopf, & Thomas Ertl. (2002). Automatic generation and non-photorealistic rendering of 2+1D Minkowski diagrams. Digital Library (University of West Bohemia). 139–146. 4 indexed citations
18.
Weiskopf, Daniel, Matthias Hopf, & Thomas Ertl. (2001). Hardware-Accelerated Visualization of Time-Varying 2D and 3D Vector Fields by Texture Advection via Programmable Per-Pixel Operations. Vision Modeling and Visualization. 439–446. 44 indexed citations
19.
Weiskopf, Daniel, et al.. (2001). Image-based rendering and general relativity. Digital Library (University of West Bohemia). 130–137. 1 indexed citations
20.
Weiskopf, Daniel. (2000). An Immersive Virtual Environment for Special Relativity.. Digital Library (University of West Bohemia). 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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