Ingo Wald

7.8k total citations · 2 hit papers
115 papers, 5.1k citations indexed

About

Ingo Wald is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ingo Wald has authored 115 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Graphics and Computer-Aided Design, 68 papers in Computer Vision and Pattern Recognition and 68 papers in Computational Mechanics. Recurrent topics in Ingo Wald's work include Computer Graphics and Visualization Techniques (105 papers), 3D Shape Modeling and Analysis (64 papers) and Advanced Vision and Imaging (49 papers). Ingo Wald is often cited by papers focused on Computer Graphics and Visualization Techniques (105 papers), 3D Shape Modeling and Analysis (64 papers) and Advanced Vision and Imaging (49 papers). Ingo Wald collaborates with scholars based in United States, Germany and United Kingdom. Ingo Wald's co-authors include Philipp Slusallek, Peter Shirley, William R. Mark, Carsten Benthin, Gordon Stoll, Solomon Boulos, Vlastimil Havran, Steven G. Parker, Thiago Ize and Markus Wagner and has published in prestigious journals such as ACM Transactions on Graphics, Computer Physics Communications and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ingo Wald

112 papers receiving 4.6k citations

Hit Papers

Parallel & distribute... 2005 2026 2012 2019 2005 2014 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Parallel & distributed processing
    2005 1.6k citations Philipp Slusallek, Peter Shirley et al. profile →
  2. Embree
    2014 255 citations Ingo Wald, Carsten Benthin et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Ingo Wald 2.8k 2.4k 1.5k 682 417 115 5.1k
Philipp Slusallek 2.7k 0.9× 2.8k 1.1× 1.4k 0.9× 737 1.1× 372 0.9× 246 5.8k
William R. Mark 1.7k 0.6× 1.9k 0.8× 823 0.5× 888 1.3× 352 0.8× 71 4.7k
Joseph O’Rourke 2.5k 0.9× 2.3k 0.9× 889 0.6× 367 0.5× 594 1.4× 177 6.1k
Claudio Silva 2.3k 0.8× 2.8k 1.1× 2.1k 1.4× 588 0.9× 663 1.6× 224 6.5k
Peter Shirley 5.0k 1.8× 7.9k 3.3× 2.5k 1.7× 1.2k 1.8× 436 1.0× 132 12.1k
Daniel Weiskopf 2.1k 0.8× 5.4k 2.2× 1.1k 0.7× 1.3k 1.9× 972 2.3× 388 8.0k
Ken Perlin 1.8k 0.6× 3.2k 1.3× 1.2k 0.8× 625 0.9× 200 0.5× 103 5.9k
Ming-Yu Liu 982 0.3× 6.4k 2.6× 711 0.5× 1.2k 1.7× 354 0.8× 73 8.2k
Michael F. Cohen 3.8k 1.4× 8.2k 3.3× 1.7k 1.1× 263 0.4× 396 0.9× 103 9.8k
Tosiyasu L. Kunii 1.6k 0.6× 2.2k 0.9× 1.8k 1.2× 188 0.3× 220 0.5× 204 4.5k

Countries citing papers authored by Ingo Wald

Since Specialization
Citations

This map shows the geographic impact of Ingo Wald'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 Ingo Wald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Wald more than expected).

Fields of papers citing papers by Ingo Wald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingo Wald. 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 Ingo Wald. The network helps show where Ingo Wald may publish in the future.

Co-authorship network of co-authors of Ingo Wald

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Wald. A scholar is included among the top collaborators of Ingo Wald 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 Ingo Wald. Ingo Wald 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.
Wald, Ingo, et al.. (2024). Visualization of Large Non-Trivially Partitioned Unstructured Data With Native Distribution on High-Performance Computing Systems. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5000–5014.
2.
Wu, Qi, et al.. (2024). Beyond ExaBricks: GPU Volume Path Tracing of AMR Data. Computer Graphics Forum. 43(3).
3.
Güdükbay, Uğur, et al.. (2023). State‐of‐the‐art in Large‐Scale Volume Visualization Beyond Structured Data. Computer Graphics Forum. 42(3). 491–515. 2 indexed citations
4.
Wu, Qi, et al.. (2023). Memory‐Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh. Computer Graphics Forum. 42(3). 51–62. 1 indexed citations
5.
Seifried, Daniel, Ingo Wald, Will Usher, et al.. (2022). Point Containment Queries on Ray-Tracing Cores for AMR Flow Visualization. Computing in Science & Engineering. 24(2). 40–51. 6 indexed citations
6.
Güdükbay, Uğur, et al.. (2021). Multi‐level tetrahedralization‐based accelerator for ray‐tracing animated scenes. Computer Animation and Virtual Worlds. 32(3-4). 3 indexed citations
7.
Ize, Thiago, Ingo Wald, & Steven G. Parker. (2007). Asynchronous BVH construction for ray tracing dynamic scenes on parallel multi-core architectures. 101–108. 36 indexed citations
8.
Wald, Ingo, William R. Mark, Johannes Günther, et al.. (2007). State of the Art in Ray Tracing Animated Scenes. Max Planck Institute for Plasma Physics. 89–116. 26 indexed citations
9.
Friedrich, Heiko, et al.. (2007). Interactive iso-surface ray tracing of massive volumetric data sets. 109–116. 4 indexed citations
10.
Gribble, Steven D., Thiago Ize, Andrew Kensler, Ingo Wald, & Steven G. Parker. (2007). A Coherent Grid Traversal Approach to Visualizing Particle-Based Simulation Data. IEEE Transactions on Visualization and Computer Graphics. 13(4). 758–768. 28 indexed citations
11.
Boulos, Solomon, et al.. (2006). An application of scalable massive model interaction using shared-memory systems. 19–27. 28 indexed citations
12.
Wald, Ingo, Andreas Dietrich, Carsten Benthin, et al.. (2006). A Ray Tracing based Framework for High-Quality Virtual Reality in Industrial Design Applications. Max Planck Institute for Plasma Physics. 177–185. 2 indexed citations
13.
Dietrich, Andreas, Ingo Wald, & Philipp Slusallek. (2005). Large-scale CAD Model Visualization on a Scalable Shared-memory Architecture. Max Planck Digital Library. 303–310. 10 indexed citations
14.
Günther, Johannes, Tongbo Chen, Michael Goesele, Ingo Wald, & Hans‐Peter Seidel. (2005). Efficient Acquisition and Realistic Rendering of Car Paint. Max Planck Institute for Plasma Physics. 487–494. 31 indexed citations
15.
Wald, Ingo, et al.. (2005). Faster Isosurface Ray Tracing Using Implicit KD-Trees. IEEE Transactions on Visualization and Computer Graphics. 11(5). 562–572. 52 indexed citations
16.
Dietrich, Andreas, Ingo Wald, Markus Wagner, & Philipp Slusallek. (2004). VRML scene graphs on an interactive ray tracing engine. 109–282. 6 indexed citations
17.
Wald, Ingo, Johannes Günther, Philipp Slusallek, Marie‐Paule Cani, & Mel Slater. (2004). Balancing Considered Harmful - Faster Photon Mapping using the Voxel Volume Heuristic. Max Planck Institute for Plasma Physics. 595–603. 9 indexed citations
18.
Wald, Ingo, et al.. (2003). Sttreaming Video Textures for Mixed Reality Applications in Interactive Ray Tracing Environments.. Vision Modeling and Visualization. 261–269. 7 indexed citations
19.
Schmittler, Jörg, Ingo Wald, & Philipp Slusallek. (2002). SaarCOR: a hardware architecture for ray tracing. 27–36. 80 indexed citations
20.
Keller, Alexander & Ingo Wald. (2000). Efficient Importance Sampling Techniques for the Photon Map. Vision Modeling and Visualization. 8(4). 271–280. 28 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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