Jason Lawrence

2.5k citations
61 papers · 1.8k · h-index 26

Impact in

Papers in

Jason Lawrence

61 papers receiving 1.8k citations

Peers

Jason Lawrence
Comparison fields: 5 of 87
  • Computer Graphics and Computer-Aided Design 1.3k
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Mechanics 627
  • Geology 133
  • Acoustics and Ultrasonics 16
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Jason Lawrence relative to Bruce Walter United States Bruce Walter's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Jason Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Jason Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006168
2 2004128
3 201090
4 200776
5 202174
6 200971
7 201470
8 200669
9 201468
10 200868
11 200767
12 200766
13
Principles of Appearance Acquisition and Representation
201363
14 200954
15 201151
16 201150
17 201438
18 200938
19 201132
20 201130

About Jason Lawrence

Jason Lawrence is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Human-Computer Interaction, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (43 papers), Advanced Vision and Imaging (27 papers), 3D Shape Modeling and Analysis (24 papers), Advanced Image Processing Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), 3D Surveying and Cultural Heritage (6 papers), Optical measurement and interference techniques (5 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (627 citations), Geology (133 citations) and Acoustics and Ultrasonics (16 citations). Jason Lawrence has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ravi Ramamoorthi, Szymon Rusinkiewicz, Michael Holroyd, Fabio Pellacini, Todd Zickler, Wojciech Matusik, Pedro V. Sander, Pitchaya Sitthi‐Amorn, Diego Nehab and Lei Yang. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, IEEE Transactions on Visualization and Computer Graphics and Graphical Models.

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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