David Avis

127 papers receiving 3.7k citations

Hit Papers

Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI 2000 · 661 citations
6610+8+17Years since publication200400600

Peers

David Avis
Comparison fields: 5 of 177
  • Computer Graphics and Computer-Aided Design 1.1k
  • Computational Theory and Mathematics 921
  • Discrete Mathematics and Combinatorics 167
  • Computer Vision and Pattern Recognition 879
  • Signal Processing 307
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Citations per year

Countries citing papers authored by David Avis

Since Specialization
Citations

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

Fields of papers citing papers by David Avis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI
Hit paper breakdown →
2000661
2 1996366
3 1991296
4 1992280
5 1981161
6 1997142
7 1994128
8 1983114
9 2005111
10 1979105
11 198266
12 198165
13
A method for identifying geometrically simple surfaces from three-dimensional images
199857
14 201452
15 200951
16 200550
17 199447
18 198045
19 200638
20 201137

About David Avis

David Avis is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Mechanics, having authored 137 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (64 papers), Advanced Graph Theory Research (39 papers), Digital Image Processing Techniques (20 papers), Complexity and Algorithms in Graphs (15 papers), Optimization and Packing Problems (12 papers), graph theory and CDMA systems (11 papers), Advanced Numerical Analysis Techniques (11 papers) and Advanced Combinatorial Mathematics (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Computational Theory and Mathematics (921 citations), Discrete Mathematics and Combinatorics (167 citations), Computer Vision and Pattern Recognition (879 citations) and Signal Processing (307 citations). David Avis has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Komei Fukuda, Alan C. Evans, David MacDonald, Noor Jehan Kabani, Raimund Seidel, Godfried T. Toussaint, Hiroshi Imai, Hossam ElGindy, Godfried Toussaint and Tsuyoshi Ito. Their work appears in journals such as Discrete Applied Mathematics, Discrete & Computational Geometry, Mathematical Programming, Computational Geometry and Graphs and Combinatorics.

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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