Nathaniel Dean

30 papers receiving 462 citations

Peers

Nathaniel Dean
Comparison fields: 5 of 116
  • Computer Graphics and Computer-Aided Design 84
  • Discrete Mathematics and Combinatorics 58
  • Computational Theory and Mathematics 197
  • Computer Vision and Pattern Recognition 129
  • Signal Processing 53
Replace Elizna Burger with:
Elizna Burger South Africa
Monty Newborn Canada
Klaus Truemper United States
György Turán United States
David Lichtenstein United States
P. van Emde Boas Netherlands
Stéphane Pérennès France
Nobuji Saito Japan
Pierre Rosenstiehl France
Ge Xia United States
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Citations per year

Countries citing papers authored by Nathaniel Dean

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008212
2 199344
3 199723
4 199222
5 200020
6 198915
7 199415
8 201113
9 199012
10 199211
11 199311
12 199710
13 19949
14 20008
15 19947
16 20007
17 19867
18 19967
19 19966
20 19926

About Nathaniel Dean

Nathaniel Dean is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 33 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (15 papers), Computational Geometry and Mesh Generation (9 papers), Data Visualization and Analytics (6 papers), Limits and Structures in Graph Theory (6 papers), Graph Theory and Algorithms (6 papers), Graph Labeling and Dimension Problems (4 papers), Graph theory and applications (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (84 citations), Discrete Mathematics and Combinatorics (58 citations), Computational Theory and Mathematics (197 citations), Computer Vision and Pattern Recognition (129 citations) and Signal Processing (53 citations). Nathaniel Dean has collaborated with scholars based in United States, Japan and New Zealand. Frequent co-authors include Andreas Buja, Deborah F. Swayne, Heike Hofmann, Michael L. Littman, Lisha Chen, Daniel Bienstock, Mekkia Kouider, Tsan‐sheng Hsu, Vijaya Ramachandran and Katsuhiro Ota. Their work appears in journals such as Journal of Graph Theory, Discrete Mathematics, Journal of Combinatorial Theory Series B, Software Practice and Experience and IEEE Transactions on Plasma Science.

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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