Patrick Marais

45 papers receiving 735 citations

Peers

Patrick Marais
Comparison fields: 5 of 115
  • Computer Graphics and Computer-Aided Design 232
  • Computer Science Applications 107
  • Developmental and Educational Psychology 197
  • Computer Vision and Pattern Recognition 264
  • Computational Mechanics 214
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Zoë J. Wood United States
Darwyn Peachey Canada
Alark Joshi United States
Kalpathi Subramanian United States
John M. Gauch United States
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Countries citing papers authored by Patrick Marais

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Marais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Marais, 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 Patrick Marais Line = papers co-authored together Patrick Marais links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013219
2 200976
3 200672
4 201260
5 201237
6 199633
7 200631
8 201530
9 200626
10 201223
11 201519
12 201218
13 200118
14 202013
15 200511
16 201610
17 20128
18 20138
19 20007
20 20017

About Patrick Marais

Patrick Marais is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Geology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 789 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), 3D Shape Modeling and Analysis (16 papers), 3D Surveying and Cultural Heritage (7 papers), Medical Image Segmentation Techniques (5 papers), Advanced Vision and Imaging (5 papers), Advanced Numerical Analysis Techniques (5 papers), Data Visualization and Analytics (4 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (232 citations), Computer Science Applications (107 citations), Developmental and Educational Psychology (197 citations), Computer Vision and Pattern Recognition (264 citations) and Computational Mechanics (214 citations). Patrick Marais has collaborated with scholars based in South Africa, Germany and United States. Frequent co-authors include James Gain, Bruce Merry, Wolfgang Straßer, Michelle M. Kuttel, Simon Perkins, Michael Sakuma, Andrew Zisserman, R. Guillemaud, M. Brady and Sandra W. Jacobson. Their work appears in journals such as Computer Graphics Forum, Journal on Computing and Cultural Heritage, IEEE Transactions on Visualization and Computer Graphics, Powder Technology and Autonomous Agents and Multi-Agent Systems.

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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