Nathan Chenette
Impact in
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- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Graph Labeling and Dimension Problems
Papers in
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- Advanced Graph Theory Research 3
- Topological and Geometric Data Analysis 1
- Complexity and Algorithms in Graphs 1
- Matrix Theory and Algorithms 1
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- Limits and Structures in Graph Theory 1
- Co-authors
- Ran Canetti (1 shared paper)Adam O’Neill (1 shared paper)George Kollios (1 shared paper)Leslie Hogben (1 shared paper)Robin Thomas (2 shared papers)Luke Postle (2 shared papers)Ken‐ichi Kawarabayashi (1 shared paper)Bernard Lidický (1 shared paper)
- Journals
- Journal of Combinatorial Theory Series B (1 paper)Electronic Journal of Linear Algebra (1 paper)Electronic Notes in Discrete Mathematics (1 paper)Rose-Hulman Scholar (Rose–Hulman Institute of Technology) (1 paper)
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Nathan Chenette
3 papers receiving 54 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 45
- Computational Theory and Mathematics 20
- Discrete Mathematics and Combinatorics 3
- Information Systems 18
- Geometry and Topology 5
Countries citing papers authored by Nathan Chenette
This map shows the geographic impact of Nathan Chenette'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 Nathan Chenette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Chenette more than expected).
Fields of papers citing papers by Nathan Chenette
This network shows the impact of papers produced by Nathan Chenette. 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 Nathan Chenette. The network helps show where Nathan Chenette may publish in the future.
Co-authors
The 10 scholars most cited alongside Nathan Chenette, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Nathan Chenette
Nathan Chenette is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 4 papers that have together received 57 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (3 papers), Topological and Geometric Data Analysis (1 paper), Complexity and Algorithms in Graphs (1 paper), Cryptography and Data Security (1 paper), Limits and Structures in Graph Theory (1 paper), Matrix Theory and Algorithms (1 paper), Cryptographic Implementations and Security (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Artificial Intelligence (45 citations), Computational Theory and Mathematics (20 citations), Discrete Mathematics and Combinatorics (3 citations), Information Systems (18 citations) and Geometry and Topology (5 citations). Nathan Chenette has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Ran Canetti, Adam O’Neill, George Kollios, Leslie Hogben, Robin Thomas, Luke Postle, Ken‐ichi Kawarabayashi, Bernard Lidický, Daniel Král͏̌ and Jan Kynčl. Their work appears in journals such as Journal of Combinatorial Theory Series B, Electronic Journal of Linear Algebra, Electronic Notes in Discrete Mathematics and Rose-Hulman Scholar (Rose–Hulman Institute of Technology).
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.