Joe Kniss

2.8k total citations · 1 hit paper
30 papers, 2.0k citations indexed

About

Joe Kniss is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Joe Kniss has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Graphics and Computer-Aided Design, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. Recurrent topics in Joe Kniss's work include Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (14 papers) and Advanced Vision and Imaging (9 papers). Joe Kniss is often cited by papers focused on Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (14 papers) and Advanced Vision and Imaging (9 papers). Joe Kniss collaborates with scholars based in United States, Germany and Austria. Joe Kniss's co-authors include Charles Hansen, Gordon Kindlmann, Aaron Lefohn, Klaus Engel, Markus Hadwiger, Daniel Weiskopf, Simon Premože, Ross Whitaker, Peter Shirley and David S. Ebert and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

In The Last Decade

Joe Kniss

29 papers receiving 1.9k citations

Hit Papers

Multidimensional transfer functions for interactive volum... 2002 2026 2010 2018 2002 100 200 300
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. Multidimensional transfer functions for interactive volume rendering
    2002 388 citations Joe Kniss, Gordon Kindlmann et al. IEEE Transactions on Visualization and Computer Graphics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joe Kniss United States 18 1.5k 1.4k 753 145 140 30 2.0k
M. Eduard Gröller Austria 28 1.9k 1.2× 1.3k 0.9× 600 0.8× 195 1.3× 224 1.6× 123 2.5k
Eduard Gröller Austria 28 1.7k 1.1× 1.1k 0.7× 563 0.7× 281 1.9× 172 1.2× 137 2.5k
Samuli Laine United Kingdom 26 1.6k 1.0× 1.1k 0.7× 457 0.6× 130 0.9× 252 1.8× 59 2.2k
Gregory M. Nielson United States 25 811 0.5× 1.0k 0.7× 1.1k 1.4× 52 0.4× 126 0.9× 81 2.1k
Carsten Dachsbacher Germany 31 2.2k 1.5× 2.4k 1.7× 1.2k 1.6× 93 0.6× 48 0.3× 158 3.0k
Qunsheng Peng China 26 1.3k 0.9× 897 0.6× 753 1.0× 68 0.5× 61 0.4× 197 2.2k
Hans Hagen Germany 24 597 0.4× 717 0.5× 819 1.1× 56 0.4× 77 0.6× 133 1.7k
Steven G. Parker United States 23 1.3k 0.9× 1.5k 1.1× 829 1.1× 93 0.6× 159 1.1× 74 2.3k
Helmut Doleisch Austria 20 1.1k 0.7× 734 0.5× 291 0.4× 55 0.4× 297 2.1× 31 1.5k
Hamish Carr United Kingdom 23 979 0.6× 577 0.4× 212 0.3× 84 0.6× 149 1.1× 68 1.8k

Countries citing papers authored by Joe Kniss

Since Specialization
Citations

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

Fields of papers citing papers by Joe Kniss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Kniss

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Kniss. A scholar is included among the top collaborators of Joe Kniss 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 Joe Kniss. Joe Kniss 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.
Kniss, Joe & Guanyu Wang. (2010). Supervised Manifold Distance Segmentation. IEEE Transactions on Visualization and Computer Graphics. 17(11). 1637–1649. 7 indexed citations
2.
Magnor, Marcus, Pradeep Sen, Joe Kniss, Edward Angel, & Stephan Wenger. (2010). Progress in Rendering and Modeling for Digital Planetariums. Eurographics. 1–8. 5 indexed citations
3.
Kniss, Joe, et al.. (2010). Representing Diversity in Communities of Bayesian Decision-makers. 315–322. 2 indexed citations
4.
Kniss, Joe, et al.. (2009). Software's Eight Essentials. 16. 1203–1208.
5.
Kniss, Joe, Warren A. Hunt, Kristin Potter, & Pradeep Sen. (2007). IStar: A Raster Representation for Scalable Image and Volume Data. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1424–1431. 5 indexed citations
6.
Kniss, Joe, et al.. (2006). Statistically Quantitative Volume Visualization. 287–294. 42 indexed citations
7.
Lefohn, Aaron, Shubhabrata Sengupta, Joe Kniss, Robert Strzodka, & John D. Owens. (2006). Glift. ACM Transactions on Graphics. 25(1). 60–99. 83 indexed citations
8.
Lefohn, Aaron, Joe Kniss, Charles Hansen, & Ross Whitaker. (2005). A streaming narrow-band algorithm. 243–243. 14 indexed citations
9.
Ma, Kwan‐Liu, et al.. (2005). High-Quality Rendering of Compressed Volume Data Formats. Eurographics. 18 indexed citations
10.
Kniss, Joe, Gordon Kindlmann, & Charles Hansen. (2005). Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. 255–562. 110 indexed citations
11.
Lefohn, Aaron, Shubhabrata Sengupta, Joe Kniss, Robert Strzodka, & John D. Owens. (2005). Dynamic adaptive shadow maps on graphics hardware. 13–13. 15 indexed citations
12.
Lefohn, Aaron, Joe Kniss, Charles Hansen, & Ross Whitaker. (2004). A streaming narrow-band algorithm: interactive computation and visualization of level sets. IEEE Transactions on Visualization and Computer Graphics. 10(4). 422–433. 81 indexed citations
13.
Lefohn, Aaron, Joe Kniss, Charles Hansen, & Ross Whitaker. (2004). Interactive deformation and visualization of level set surfaces using graphics hardware. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 75–82. 76 indexed citations
14.
Kniss, Joe, Jürgen P. Schulze, Uwe Wössner, et al.. (2004). Medical applications of multi-field volume rendering and VR techniques. 249–254. 14 indexed citations
15.
Engel, Klaus, et al.. (2004). Real-time volume graphics. 29–29. 124 indexed citations
16.
Kniss, Joe, et al.. (2003). A model for volume lighting and modeling. IEEE Transactions on Visualization and Computer Graphics. 9(2). 150–162. 124 indexed citations
17.
Kniss, Joe, Simon Premože, Charles Hansen, & David S. Ebert. (2002). Interactive translucent volume rendering and procedural modeling. IEEE Visualization. 109–116. 81 indexed citations
18.
Kniss, Joe, et al.. (2002). Volume rendering multivariate data to visualize meteorological simulations: a case study. 189–194. 24 indexed citations
19.
Kniss, Joe, Gordon Kindlmann, & Charles Hansen. (2002). Multidimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics. 8(3). 270–285. 388 indexed citations breakdown →
20.
Kniss, Joe, et al.. (2001). Interactive texture-based volume rendering for large data sets. IEEE Computer Graphics and Applications. 21(4). 52–61. 56 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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