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Researcher · Queen's University · Canada

David Rappaport

David Rappaport publishes mostly in Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Computational Geometry and Mesh Generation, Data Management and Algorithms and Digital Image Processing Techniques.

OpenAlex
World rank
#2,020,925
of 7,710,434 ranked researchers
Rank in Canada
#66,926
of 183,316
Works
149
Citations
1.5k
Citations per work
10.1
h-index
23
i10-index 42Top 13% in Computer Graphics and Computer-Aided Design
David Rappaport

What does David Rappaport research?

David Rappaport's work is mostly in Computer Science (43%), Social Sciences (5%), Engineering (4%).

Everything else: 72 works · 48.0% of their workPhysical Sciences: 71 works · 47.4% of their workComputer Science: 64 works · 43.1% of their workComputer Graphics and Computer-Aided Design: 25 works · 17.0% of their workComputer Vision and Pattern Recognition: 16 works · 10.9% of their workComputational Theory and Mathematics: 13 works · 8.6% of their workSignal Processing: 10 works · 6.6% of their workEngineering: 6 works · 4.3% of their workComputational Mechanics: 6 works · 4.3% of their workSocial Sciences: 7 works · 4.6% of their workSocial Sciences: 7 works · 4.6% of their workEducation: 7 works · 4.6% of their workTHEIR WORKDavid Rappaport149works
Physical Sciences47%Social Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else7248.0%
    1. Computer Science6443.1%
    2. Engineering64.3%
    1. Social Sciences74.6%
  1. 1Computer Graphics and Computer-Aided Design17% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Computational Theory and Mathematics9% of their works
  4. 4Signal Processing7% of their works
  5. 5Education5% of their works
  6. 6Computational Mechanics4% of their works

Research topics

Which keywords describe David Rappaport's research?

The keywords of their largest research topics: Approximation Algorithms, Delaunay Triangulations, Mesh Generation, Algorithms, GPS Trajectories, Trajectory Data Mining, Connected Components and Labeling.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Approximation Algorithms732 topics
  2. Delaunay Triangulations611 topic
  3. Mesh Generation611 topic
  4. Algorithms262 topics
  5. GPS Trajectories171 topic
  6. Trajectory Data Mining171 topic
  7. Connected Components161 topic
  8. Labeling161 topic
  9. Pedagogical Content Knowledge151 topic
  10. Teacher Knowledge151 topic
  11. Automata121 topic
  12. DNA Computing121 topic
  13. Formal Languages121 topic
  14. Graph Theory121 topic
  15. Molecular Computation121 topic
  16. Parameterized Complexity121 topic
  17. Compression101 topic
  18. Suffix Arrays101 topic

Where does David Rappaport work?

David Rappaport's main affiliation in the publication record is Queen's University, Canada.

How many publications and citations does David Rappaport have?

OpenAlex counts 149 works and 1,500 citations for David Rappaport, an h-index of 23, ranking #2,020,925 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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