Will Schroeder

2.3k total citations · 1 hit paper
22 papers, 1.5k citations indexed

About

Will Schroeder is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Will Schroeder has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Will Schroeder's work include Computer Graphics and Visualization Techniques (5 papers), Usability and User Interface Design (4 papers) and Software Engineering Research (3 papers). Will Schroeder is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), Usability and User Interface Design (4 papers) and Software Engineering Research (3 papers). Will Schroeder collaborates with scholars based in United States, Israel and Chile. Will Schroeder's co-authors include William E. Lorensen, Jared M. Spool, Kenneth Martin, Carolyn Snyder, Tara Scanlon, Ross Whitaker, Stephen Aylward, Michael Ackerman, Terry S. Yoo and Vikram Chalana and has published in prestigious journals such as Computer, Journal of the American Medical Informatics Association and IEEE Computer Graphics and Applications.

In The Last Decade

Will Schroeder

21 papers receiving 1.4k citations

Hit Papers

Engineering and Algorithm Design for an Image Processing ... 2002 2026 2010 2018 2002 100 200 300 400
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. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK - the Insight Toolkit
    2002 487 citations William E. Lorensen, Will Schroeder et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will Schroeder United States 10 493 304 280 246 226 22 1.5k
Joe Marks United States 29 1.0k 2.1× 537 1.8× 228 0.8× 255 1.0× 94 0.4× 91 2.9k
Songhua Xu China 27 982 2.0× 210 0.7× 171 0.6× 129 0.5× 232 1.0× 159 2.1k
David Duke United Kingdom 18 554 1.1× 237 0.8× 29 0.1× 272 1.1× 157 0.7× 81 1.6k
Deborah Silver United States 17 759 1.5× 478 1.6× 62 0.2× 89 0.4× 56 0.2× 68 1.7k
Johanna Beyer United States 22 743 1.5× 329 1.1× 62 0.2× 170 0.7× 43 0.2× 58 1.3k
Tobias Isenberg France 31 2.2k 4.5× 892 2.9× 82 0.3× 595 2.4× 120 0.5× 118 3.1k
Ivan Viola Austria 27 1.4k 2.9× 817 2.7× 83 0.3× 135 0.5× 35 0.2× 127 2.2k
Andries van Dam United States 23 1.7k 3.3× 906 3.0× 72 0.3× 997 4.1× 286 1.3× 110 3.7k
M. Eduard Gröller Austria 28 1.9k 3.8× 1.3k 4.2× 195 0.7× 127 0.5× 44 0.2× 123 2.5k
M. Stella Atkins Canada 28 1.1k 2.2× 67 0.2× 646 2.3× 482 2.0× 45 0.2× 135 3.3k

Countries citing papers authored by Will Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Will Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Will Schroeder. A scholar is included among the top collaborators of Will Schroeder 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 Will Schroeder. Will Schroeder 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.
Jourdain, Sébastien, Patrick O’Leary, & Will Schroeder. (2025). Trame: Platform Ubiquitous, Scalable Integration Framework for Visual Analytics. IEEE Computer Graphics and Applications. 45(2). 126–134.
2.
Bujack, Roxana, et al.. (2022). Topological Segmentation of 2D Vector Fields. 1 indexed citations
3.
Avila, Lisa, et al.. (2019). Cross-Platform Ubiquitous Volume Rendering Using Programmable Shaders in VTK for Scientific and Medical Visualization. IEEE Computer Graphics and Applications. 39(1). 26–43. 9 indexed citations
4.
Childs, Hank, Berk Geveci, Will Schroeder, et al.. (2013). Research Challenges for Visualization Software. Computer. 46(5). 34–42. 33 indexed citations
5.
Kapur, Tina, Steve Pieper, Ross Whitaker, et al.. (2011). The National Alliance for Medical Image Computing, a roadmap initiative to build a free and open source software infrastructure for translational research in medical image analysis. Journal of the American Medical Informatics Association. 19(2). 176–180. 7 indexed citations
6.
Hanley, Michael J., et al.. (2011). An Analysis of Technical Observations in Insider Theft of Intellectual Property Cases. Figshare. 12 indexed citations
7.
Schroeder, Will. (2009). New tools for task workflow analysis. 3877–3882. 1 indexed citations
8.
Schroeder, Will. (2008). Switching between tools in complex applications. Journal of Usability Studies archive. 3(4). 173–188. 4 indexed citations
9.
Schroeder, Will. (2004). Books. interactions. 11(5). 81–83. 1 indexed citations
10.
Spool, Jared M. & Will Schroeder. (2001). Testing web sites. 285–286. 111 indexed citations
11.
Pfister, Hanspeter, Bill Lorensen, Chandrajit Bajaj, et al.. (2001). The transfer function bake-off. IEEE Computer Graphics and Applications. 21(1). 16–22. 197 indexed citations
12.
Spool, Jared M. & Will Schroeder. (2001). Testing web sites. 3 indexed citations
13.
Pfister, Hanspeter, Bill Lorensen, Will Schroeder, Chandrajit Bajaj, & Gordon Kindlmann. (2000). The transfer function bake-off (panel session). IEEE Visualization. 523–526. 13 indexed citations
14.
Spool, Jared M., Will Schroeder, Tara Scanlon, & Carolyn Snyder. (1999). Web sites that work. 141–141. 2 indexed citations
15.
Spool, Jared M., Tara Scanlon, Carolyn Snyder, & Will Schroeder. (1999). Measuring website usability. 354–354. 4 indexed citations
16.
Schroeder, Will, Kenneth Martin, & William E. Lorensen. (1998). The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics. 288 indexed citations
17.
Spool, Jared M., Tara Scanlon, Carolyn Snyder, & Will Schroeder. (1998). Measuring Website usability. 390–390. 4 indexed citations
18.
Spool, Jared M., Will Schroeder, Tara Scanlon, & Carolyn Snyder. (1998). Web sites that work. 147–148. 13 indexed citations
19.
Spool, Jared M., et al.. (1997). Web Site Usability: A Designer's Guide. Medical Entomology and Zoology. 319 indexed citations
20.
Spool, Jared M., Carolyn Snyder, & Will Schroeder. (1995). User Interface Engineering. 166–167. 15 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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