David Rappaport

103 papers receiving 976 citations

Peers

David Rappaport
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 491
  • Signal Processing 202
  • Computer Vision and Pattern Recognition 381
  • Computational Theory and Mathematics 231
  • Geology 74
Replace Ferrán Hurtado with:
Ferrán Hurtado Spain
Thérèse Biedl Canada
Christopher J. Van Wyk United States
Robert L. Scot Drysdale United States
Eric Schkufza United States
Otfried Schwarzkopf Netherlands
John Iacono United States
Raouf Hamzaoui United Kingdom
Donald S. Fussell United States
Lee South Korea
David Rappaport relative to Ferrán Hurtado Spain Ferrán Hurtado's profile →
Citations per field
00.5×5×10.6×
Ferrán Hurtado · 1×
Citations per year

Countries citing papers authored by David Rappaport

Since Specialization
Citations

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

Fields of papers citing papers by David Rappaport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 197152
3 199852
4 201445
5 200635
6
El Compás Flamenco: A Phylogenetic Analysis
200431
7 199430
8 198530
9 197029
10 200928
11 199228
12 200827
13 199325
14 199525
15 198923
16
Mathematical Measures of Syncopation
200523
17 199122
18 200721
19 199021
20 199820

About David Rappaport

David Rappaport is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Computational Mechanics, having authored 113 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (54 papers), Digital Image Processing Techniques (15 papers), Data Management and Algorithms (14 papers), Advanced Graph Theory Research (11 papers), Music and Audio Processing (9 papers), Algorithms and Data Compression (8 papers), semigroups and automata theory (8 papers) and DNA and Biological Computing (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (491 citations), Signal Processing (202 citations), Computer Vision and Pattern Recognition (381 citations), Computational Theory and Mathematics (231 citations) and Geology (74 citations). David Rappaport has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Henk Meijer, Leonard M. Silverman, Michael Greenspan, Godfried T. Toussaint, Kelly A. Lyons, Ferrán Hurtado, David Avis, Francisco Gómez, Esther M. Arkin and José Miguel Díaz-Báñez. Their work appears in journals such as Computational Geometry, School Science and Mathematics, Discrete Applied Mathematics, IEEE Transactions on Automatic Control 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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