Nathaniel Dean

26 papers receiving 355 citations

Peers

Nathaniel Dean
Comparison fields: 5 of 113
  • Discrete Mathematics and Combinatorics 55
  • Computer Graphics and Computer-Aided Design 57
  • Computational Theory and Mathematics 158
  • Computer Vision and Pattern Recognition 84
  • Geometry and Topology 35
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Erin Wolf Chambers United States
Tobias Müller Netherlands
Christian Komusiewicz Germany
Falk Hüffner Germany
Kenneth A. Berman 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 199325
3 199221
4 200019
5 198915
6 199413
7 201112
8 199012
9 199310
10 19949
11 20007
12 19866
13 19966
14 19926
15 19965
16 20004
17 20014
18 20183
19 20003
20
Computational Support for Discrete Mathematics: DIMACS Workshop March 12-14, 1992
19942

About Nathaniel Dean

Nathaniel Dean is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 27 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (14 papers), Computational Geometry and Mesh Generation (7 papers), Limits and Structures in Graph Theory (6 papers), Graph Labeling and Dimension Problems (4 papers), Graph Theory and Algorithms (4 papers), Data Visualization and Analytics (4 papers), graph theory and CDMA systems (3 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (55 citations), Computer Graphics and Computer-Aided Design (57 citations), Computational Theory and Mathematics (158 citations), Computer Vision and Pattern Recognition (84 citations) and Geometry and Topology (35 citations). Nathaniel Dean has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Andreas Buja, Heike Hofmann, Lisha Chen, Deborah F. Swayne, Michael L. Littman, Daniel Bienstock, Mekkia Kouider, Katsuhiro Ota, Robert L. Hemminger and Robin Thomas. Their work appears in journals such as Journal of Graph Theory, Discrete Mathematics, Journal of Combinatorial Theory Series B, Software Practice and Experience and Operations Research Letters.

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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