Craig Upson

2.1k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Craig Upson is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Craig Upson has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Craig Upson's work include Computer Graphics and Visualization Techniques (7 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Craig Upson is often cited by papers focused on Computer Graphics and Visualization Techniques (7 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Craig Upson collaborates with scholars based in United States. Craig Upson's co-authors include Philip Gresho, Robert L. Lee, Stevens T. Chan, Daniel Schlegel, David H. Laidlaw, Robert F. Gurwitz, Andries van Dam, Wendy J. Harrison, Larry Yaeger and Craig M. Bethke and has published in prestigious journals such as Science, Advances in Water Resources and International Journal for Numerical Methods in Fluids.

In The Last Decade

Craig Upson

17 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

The application visualization system: a computational environment for scientific visualization

1989 568 citations Craig Upson, David H. Laidlaw et al. IEEE Computer Graphics and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Upson United States	11	698	553	551	184	136	18	1.5k
Gregory M. Nielson United States	25	1.1k 1.5×	1.0k 1.9×	811 1.5×	48 0.3×	22 0.2×	81	2.1k
Ronald Peikert Switzerland	20	624 0.9×	732 1.3×	594 1.1×	66 0.4×	16 0.1×	43	1.5k
S. Parker United States	12	242 0.3×	335 0.6×	278 0.5×	190 1.0×	96 0.7×	16	683
Aaron Knoll United States	19	321 0.5×	590 1.1×	564 1.0×	69 0.4×	41 0.3×	49	1.2k
Hank Childs United States	21	240 0.3×	574 1.0×	632 1.1×	616 3.3×	236 1.7×	108	1.6k
Hans Hagen Germany	24	819 1.2×	717 1.3×	597 1.1×	24 0.1×	10 0.1×	133	1.7k
Helmut Doleisch Austria	20	291 0.4×	734 1.3×	1.1k 2.0×	49 0.3×	47 0.3×	31	1.5k
Christoph Garth Germany	23	431 0.6×	673 1.2×	774 1.4×	207 1.1×	49 0.4×	106	1.6k
Attila Gyulassy United States	21	120 0.2×	229 0.4×	507 0.9×	191 1.0×	67 0.5×	38	1.1k
Joe Kniss United States	18	753 1.1×	1.4k 2.6×	1.5k 2.8×	58 0.3×	25 0.2×	30	2.0k

Countries citing papers authored by Craig Upson

Since Specialization

Citations

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

Fields of papers citing papers by Craig Upson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Upson

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Upson. A scholar is included among the top collaborators of Craig Upson 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 Craig Upson. Craig Upson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Upson, Craig. (2003). Scientific visualization environments for the computational sciences. 5. 322–327.

Upson, Craig. (1992). Visual programming in data flow environments (videotape). 1 indexed citations

Upson, Craig, et al.. (1989). The application visualization system: a computational environment for scientific visualization. IEEE Computer Graphics and Applications. 9(4). 30–42. 568 indexed citations breakdown →

Upson, Craig. (1989). Proceedings of the 1989 Chapel Hill workshop on Volume visualization. 1 indexed citations

Upson, Craig, et al.. (1988). V-buffer. ACM SIGGRAPH Computer Graphics. 22(4). 59–64. 267 indexed citations

Bethke, Craig M., Stephen P. Altaner, Wendy J. Harrison, & Craig Upson. (1988). Supercomputer Analysis of Sedimentary Basins. Science. 239(4837). 261–267. 106 indexed citations

Upson, Craig, et al.. (1988). V-buffer. 59–64. 28 indexed citations

Yaeger, Larry, Craig Upson, & Robert P. Myers. (1986). Combining physical and visual simulation—creation of the planet Jupiter for the film “2010”. 85–93. 17 indexed citations

Upson, Craig. (1986). The visual simulation of amorphous phenomena. The Visual Computer. 2(5). 321–326. 9 indexed citations

10.

Yaeger, Larry, et al.. (1986). Combining physical and visual simulation—creation of the planet Jupiter for the film “2010”. ACM SIGGRAPH Computer Graphics. 20(4). 85–93. 65 indexed citations

11.

Gresho, Philip, Stevens T. Chan, Robert L. Lee, & Craig Upson. (1984). A modified finite element method for solving the time‐dependent, incompressible Navier‐Stokes equations. Part 2: Applications. International Journal for Numerical Methods in Fluids. 4(7). 619–640. 109 indexed citations

12.

Gresho, Philip, Stevens T. Chan, Robert L. Lee, & Craig Upson. (1984). A modified finite element method for solving the time‐dependent, incompressible Navier‐Stokes equations. Part 1: Theory. International Journal for Numerical Methods in Fluids. 4(6). 557–598. 273 indexed citations

13.

Gresho, Philip & Craig Upson. (1983). Application of a modified finite element method to the time-dependent thermal convection of a liquid metal. 8–11. 12 indexed citations

14.

Koseff, Jeffrey R., Robert L. Street, Philip Gresho, et al.. (1983). Three-dimensional lid-driven cavity flow: experiment and simulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 34 indexed citations

15.

Upson, Craig, et al.. (1981). Simulation of three-dimensional, time-dependent, incompressible flows by a finite element method. 9 indexed citations

16.

Upson, Craig, et al.. (1981). Thermal convection simulation in three dimensions by a modified finite element method. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations

17.

Gresho, Philip, Robert L. Lee, & Craig Upson. (1981). FEM solution of the Navier-Stokes equations for vortex shedding behind a cylinder: experiments with the four-node element. Advances in Water Resources. 4(4). 175–184. 15 indexed citations

18.

Chan, S.T., et al.. (1980). Three-dimensional, finite element model of liquefied natural gas releases in the atmosphere. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 16(6). 689–99. 1 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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