Mark S. Peercy

15 total papers · 499 total citations
12 papers, 368 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 368 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 Optical Imaging Technologies (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 Optical Imaging Technologies (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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark S. Peercy	244	204	126	72	56	12	368
Boris Ajdin	129 0.5×	298 1.5×	64 0.5×	70 1.0×	21 0.4×	14	430
Minmin Gong	322 1.3×	303 1.5×	186 1.5×	12 0.2×	21 0.4×	10	422
Homan Igehy	321 1.3×	317 1.6×	129 1.0×	13 0.2×	66 1.2×	8	439
Lars Nyland	108 0.4×	165 0.8×	47 0.4×	8 0.1×	78 1.4×	26	333
Justin Hensley	191 0.8×	230 1.1×	84 0.7×	12 0.2×	47 0.8×	14	344
Gregory Johnson	263 1.1×	245 1.2×	136 1.1×	5 0.1×	23 0.4×	20	417
Randi J. Rost	175 0.7×	191 0.9×	95 0.8×	6 0.1×	52 0.9×	9	406
Steve Molnar	317 1.3×	250 1.2×	133 1.1×	6 0.1×	50 0.9×	5	403
William H. Ninke	107 0.4×	284 1.4×	35 0.3×	271 3.8×	8 0.1×	7	441
David Immel	327 1.3×	268 1.3×	151 1.2×	50 0.7×	8 0.1×	6	410

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

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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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