Chris Gray

589 citations
48 papers · 336 · h-index 10

Impact in

Papers in

Chris Gray

42 papers receiving 307 citations

Peers

Chris Gray
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 52
  • Cardiology and Cardiovascular Medicine 156
  • Signal Processing 28
  • Health 16
  • Computer Vision and Pattern Recognition 32
Replace Mohamed I. Owis with:
Mohamed I. Owis Egypt
Ching‐Hsing Luo Taiwan
Jinyu Xie United States
Roberto Leonarduzzi France
S.P. Nelwan Netherlands
Sameer K. Singh United States
Michiel van der Veen Netherlands
Pedro Garcia Freitas Brazil
Haoran Zhang China
Tian-ge Zhuang China
Chris Gray relative to Mohamed I. Owis Egypt Mohamed I. Owis's profile →
Citations per field
00.5×7.4×
Mohamed I. Owis · 1×
Citations per year

Countries citing papers authored by Chris Gray

Since Specialization
Citations

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

Fields of papers citing papers by Chris Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Gray Line = papers co-authored together Chris Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201725
3 201222
4 201821
5 201920
6
Algorithms for Fat Objects: Decompositions and Applications
200415
7 199915
8 201012
9 201210
10 20189
11 20179
12 20208
13
Optimistic Shortest Paths on Uncertain Terrains
20047
14 20067
15 20087
16 20196
17 20086
18 20115
19 19955
20 20135

About Chris Gray

Chris Gray is a scholar working on Computer Graphics and Computer-Aided Design, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, having authored 48 papers that have together received 336 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (19 papers), Cardiac pacing and defibrillation studies (9 papers), Data Management and Algorithms (9 papers), Cardiac Arrhythmias and Treatments (6 papers), Digital Image Processing Techniques (5 papers), Advanced Numerical Analysis Techniques (5 papers), Robotic Path Planning Algorithms (3 papers) and Optimization and Packing Problems (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (52 citations), Cardiology and Cardiovascular Medicine (156 citations), Signal Processing (28 citations), Health (16 citations) and Computer Vision and Pattern Recognition (32 citations). Chris Gray has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Mark de Berg, Ratika Parkash, John L. Sapp, Steve Doucette, Amir AbdelWahab, Martin Gardner, Martin J. Gardner, Kirk Magee, Rodrigo I. Silveira and Jafna L. Cox. Their work appears in journals such as Canadian Journal of Cardiology, Computational Geometry, Pacing and Clinical Electrophysiology, Surface and Coatings Technology and Heart Rhythm.

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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