Chris Gray

577 citations
44 papers · 296 · h-index 9

Impact in

Papers in

Chris Gray

38 papers receiving 267 citations

Peers

Chris Gray
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 39
  • Cardiology and Cardiovascular Medicine 173
  • Health 19
  • Signal Processing 19
  • Family Practice 3
Replace Oliver Wang with:
Oliver Wang United States
Roberto Leonarduzzi France
Eric Kerfoot United Kingdom
Daniel Howard United States
Sameer K. Singh United States
Md. Martuza Ahamad Bangladesh
Matthew Bullock United States
Tae Young Kim South Korea
Alexander Engel Germany
Dave Van Veen United States
Chris Gray relative to Oliver Wang United States Oliver Wang's profile →
Citations per field
00.5×4.2×
Oliver Wang · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201222
3 201722
4 201821
5 201918
6
Algorithms for Fat Objects: Decompositions and Applications
200416
7 199914
8 20189
9 20179
10 20208
11 20086
12 20196
13 20086
14
Optimistic Shortest Paths on Uncertain Terrains
20045
15 20065
16 20115
17 19955
18
Cutting cycles of rods in space: hardness and approximation
20084
19 20124
20 19924

About Chris Gray

Chris Gray is a scholar working on Cardiology and Cardiovascular Medicine, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing and Surgery, having authored 44 papers that have together received 296 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (15 papers), Cardiac Arrhythmias and Treatments (13 papers), Cardiac pacing and defibrillation studies (11 papers), Cardiac electrophysiology and arrhythmias (8 papers), Data Management and Algorithms (7 papers), Atrial Fibrillation Management and Outcomes (7 papers), Advanced Numerical Analysis Techniques (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (39 citations), Cardiology and Cardiovascular Medicine (173 citations), Health (19 citations), Signal Processing (19 citations) and Family Practice (3 citations). Chris Gray has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Ratika Parkash, John L. Sapp, Mark de Berg, Amir AbdelWahab, Steve Doucette, Martin Gardner, Kirk Magee, Martin J. Gardner, Valerie J. Brown and Boris Aronov. Their work appears in journals such as Canadian Journal of Cardiology, Computational Geometry, Pacing and Clinical Electrophysiology, Heart Rhythm and Surface and Coatings Technology.

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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