Josef Spjut

751 total citations
43 papers, 513 citations indexed

About

Josef Spjut is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Josef Spjut has authored 43 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Human-Computer Interaction and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Josef Spjut's work include Computer Graphics and Visualization Techniques (12 papers), Virtual Reality Applications and Impacts (9 papers) and Interactive and Immersive Displays (9 papers). Josef Spjut is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), Virtual Reality Applications and Impacts (9 papers) and Interactive and Immersive Displays (9 papers). Josef Spjut collaborates with scholars based in United States, United Kingdom and South Korea. Josef Spjut's co-authors include Erik Brunvand, David Luebke, Joohwan Kim, Andrew Kensler, Morgan McGuire, Rachel Albert, Kaan Akşit, Michael Stengel, Trey Greer and Seth H. Pugsley and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and International Journal of Human-Computer Studies.

In The Last Decade

Josef Spjut

37 papers receiving 483 citations

Peers

Josef Spjut
Junyong Noh South Korea
Chunyu Gao United States
Mark Finch United States
Bruce Culbertson United States
Mark Lucente United States
Josef Spjut
Citations per year, relative to Josef Spjut Josef Spjut (= 1×) peers Norishige Fukushima

Countries citing papers authored by Josef Spjut

Since Specialization
Citations

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

Fields of papers citing papers by Josef Spjut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josef Spjut

This figure shows the co-authorship network connecting the top 25 collaborators of Josef Spjut. A scholar is included among the top collaborators of Josef Spjut 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 Josef Spjut. Josef Spjut 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
2.
Spjut, Josef, et al.. (2025). Modeling visually-guided aim-and-shoot behavior in first-person shooters. International Journal of Human-Computer Studies. 199. 103503–103503.
3.
Sun, Fan-Yun, et al.. (2025). GRS: Generating Robotic Simulation Tasks from Real-World Images. 594–603.
6.
Watson, Benjamin, et al.. (2024). Is Less More? Rendering for Esports. IEEE Computer Graphics and Applications. 44(2). 110–116. 3 indexed citations
8.
Watson, Benjamin, et al.. (2022). Display Size and Targeting Performance: Small Hurts, Large May Help. 1–8. 5 indexed citations
9.
Spjut, Josef, et al.. (2022). Mouse Sensitivity in First-person Targeting Tasks. 183–190. 4 indexed citations
10.
Kim, Joohwan, et al.. (2020). Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 3(2). 1–18. 10 indexed citations
11.
Spjut, Josef, et al.. (2019). Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz. 110–113. 29 indexed citations
12.
Kim, Joohwan, et al.. (2019). Esports Arms Race: Latency and Refresh Rate for Competitive Gaming Tasks. Journal of Vision. 19(10). 218c–218c. 6 indexed citations
13.
Murray, Benjamin C. Mac, et al.. (2018). A variable shape and variable stiffness controller for haptic virtual interactions. 264–269. 23 indexed citations
14.
Spjut, Josef, et al.. (2018). Adaptive temporal antialiasing. 1–4. 11 indexed citations
15.
Shepherd, Robert F., Bryan Peele, Benjamin C. Mac Murray, et al.. (2017). Stretchable transducers for kinesthetic interactions in virtual reality. 1–2. 1 indexed citations
16.
Spjut, Josef, et al.. (2016). 8‐3: Hybrid Modulation for Near Zero Display Latency. SID Symposium Digest of Technical Papers. 47(1). 76–78. 4 indexed citations
17.
Shkurko, Konstantin, et al.. (2014). Memory Considerations for Low Energy Ray Tracing. Computer Graphics Forum. 34(1). 47–59. 15 indexed citations
18.
Spjut, Josef, et al.. (2010). Efficient MIMD architectures for high-performance ray tracing. 9–16. 25 indexed citations
19.
Spjut, Josef, et al.. (2008). Comparing incoherent ray performance of TRaX vs. Manta. 183–183. 5 indexed citations
20.
Spjut, Josef, et al.. (2008). TRaX: A Multi-Threaded Architecture for Real-Time Ray Tracing. 26. 108–114. 17 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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