Kevin Cattell
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- J.C. MuzioShujian ZhangM. SerraMichael R. FellowsMichael J. DinneenJoe SawadaC. Robert MiersFrank Ruskey
- Topics
- Cellular Automata and Applications (8 papers)DNA and Biological Computing (5 papers)Interconnection Networks and Systems (4 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsHardware and Architecture
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsBioTechniques
- Partner nations
- CanadaUnited StatesNew Zealand
In The Last Decade
Kevin Cattell
13 papers receiving 204 citations
Peers
Comparison fields: 5 of 30
- Computational Theory and Mathematics 172
- Artificial Intelligence 108
- Molecular Biology 66
- Electrical and Electronic Engineering 47
- Computer Networks and Communications 41
Countries citing papers authored by Kevin Cattell
This map shows the geographic impact of Kevin Cattell'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 Kevin Cattell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Cattell more than expected).
Fields of papers citing papers by Kevin Cattell
This network shows the impact of papers produced by Kevin Cattell. 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 Kevin Cattell. The network helps show where Kevin Cattell may publish in the future.
Co-authorship network of co-authors of Kevin Cattell
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Cattell. A scholar is included among the top collaborators of Kevin Cattell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Cattell. Kevin Cattell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | Tables of linear cellular automata for minimal weight primitive polynomials of degrees up to 300 | 2 |
| 4 | 17 | |
| 5 | 46 | |
| 6 | 22 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 57 | |
| 12 | 9 | |
| 13 | 34 |
About Kevin Cattell
Kevin Cattell is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 13 papers that have together received 228 indexed citations. Recurring topics across this work include Cellular Automata and Applications (8 papers), DNA and Biological Computing (5 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (172 citations), Discrete Mathematics and Combinatorics (26 citations) and Hardware and Architecture (40 citations). Kevin Cattell has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include J.C. Muzio, Shujian Zhang, M. Serra, Michael R. Fellows, Michael J. Dinneen, Joe Sawada, C. Robert Miers, Frank Ruskey, Michael A. Langston and Rodney G. Downey. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and BioTechniques.
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.