Mark S. Peercy

500 total citations
12 papers, 367 citations indexed

About

Mark S. Peercy is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mark S. Peercy has authored 12 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Graphics and Computer-Aided Design, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mark S. Peercy's work include Computer Graphics and Visualization Techniques (10 papers), Color Science and Applications (4 papers) and Advanced Vision and Imaging (3 papers). Mark S. Peercy is often cited by papers focused on Computer Graphics and Visualization Techniques (10 papers), Color Science and Applications (4 papers) and Advanced Vision and Imaging (3 papers). Mark S. Peercy collaborates with scholars based in United States. Mark S. Peercy's co-authors include John Airey, Marc Olano, P. Jeffrey Ungar, Brian Cabral, Mark Segal, Lambertus Hesselink, Pat Hanrahan and Daniel Baum and has published in prestigious journals such as Color Research & Application, IEEE Visualization and Applied Optics.

In The Last Decade

Mark S. Peercy

11 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark S. Peercy United States	7	243	203	126	71	56	12	367
Brice Tebbs United States	6	351 1.4×	292 1.4×	145 1.2×	10 0.1×	50 0.9×	6	448
Markus Billeter Sweden	9	131 0.5×	170 0.8×	61 0.5×	9 0.1×	45 0.8×	21	304
Homan Igehy United States	7	321 1.3×	317 1.6×	129 1.0×	13 0.2×	66 1.2×	8	439
Jim Blinn United Kingdom	8	194 0.8×	151 0.7×	142 1.1×	24 0.3×	11 0.2×	14	286
José A. Iglesias-Guitián Italy	13	354 1.5×	462 2.3×	115 0.9×	18 0.3×	9 0.2×	31	611
Petrik Clarberg Sweden	14	363 1.5×	455 2.2×	149 1.2×	28 0.4×	11 0.2×	25	534
William H. Ninke United States	4	106 0.4×	283 1.4×	35 0.3×	269 3.8×	8 0.1×	7	439
Bochang Moon South Korea	12	362 1.5×	542 2.7×	111 0.9×	5 0.1×	10 0.2×	39	632
Thijs Vogels United States	10	165 0.7×	326 1.6×	52 0.4×	6 0.1×	115 2.1×	15	490
Steven J. Harrington United States	8	58 0.2×	133 0.7×	20 0.2×	25 0.4×	5 0.1×	28	280

Countries citing papers authored by Mark S. Peercy

Since Specialization

Citations

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

Fields of papers citing papers by Mark S. Peercy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Peercy. 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 Mark S. Peercy. The network helps show where Mark S. Peercy may publish in the future.

Co-authorship network of co-authors of Mark S. Peercy

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Peercy. A scholar is included among the top collaborators of Mark S. Peercy 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 Mark S. Peercy. Mark S. Peercy 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:

12 of 12 papers shown

1.

Peercy, Mark S., et al.. (2006). A Performance-Oriented Data Parallel Virtual Machine for GPUs (sketches_0451). 4 indexed citations

2.

Peercy, Mark S., et al.. (2006). A performance-oriented data parallel virtual machine for GPUs. 184–184. 43 indexed citations

3.

Peercy, Mark S., Marc Olano, John Airey, & P. Jeffrey Ungar. (2000). Interactive multi-pass programmable shading. Open MIND. 425–432. 119 indexed citations

4.

Peercy, Mark S., et al.. (2000). Visual Computing. 21 indexed citations

5.

Peercy, Mark S., John Airey, & Brian Cabral. (1997). Efficient bump mapping hardware. 303–306. 75 indexed citations

6.

Peercy, Mark S., et al.. (1996). Linear color representations for efficient image synthesis. Color Research & Application. 21(2). 129–137. 5 indexed citations

7.

Peercy, Mark S., et al.. (1995). Interactive full spectral rendering. 67–ff.. 8 indexed citations

8.

Peercy, Mark S. & Lambertus Hesselink. (1994). <title>Wavelength selection for color holography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2176. 108–118. 1 indexed citations

9.

Peercy, Mark S. & Lambertus Hesselink. (1994). Wavelength selection for true-color holography. Applied Optics. 33(29). 6811–6811. 20 indexed citations

10.

Peercy, Mark S.. (1993). "Linear Color Representations in Full Spectral Rendering," Computer Graphics. 3 indexed citations

11.

Peercy, Mark S. & Lambertus Hesselink. (1993). Dichromatic color representations for complex display systems. IEEE Visualization. 212–219. 1 indexed citations

12.

Peercy, Mark S.. (1993). Linear color representations for full speed spectral rendering. 191–198. 67 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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