Christopher Tuffley
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 3
- DNA and Biological Computing 1
-
- Algorithms and Data Compression 5
- Co-authors
- Mike Steel (3 shared papers)Michael D. Hendy (4 shared papers)David Penny (1 shared paper)Vincent Moulton (1 shared paper)James D. L. White (1 shared paper)Martin L. Hazelton (1 shared paper)Bruce van Brunt (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (2 papers)Bernoulli (1 paper)Molecular Biology and Evolution (1 paper)Mathematical Biosciences (1 paper)Pacific Journal of Mathematics (1 paper)
- Partner nations
- New ZealandUnited States
In The Last Decade
Christopher Tuffley
12 papers receiving 539 citations
Peers
Comparison fields: 5 of 56
- Paleontology 219
- Genetics 328
- Molecular Biology 397
- History and Philosophy of Science 24
- Ecology, Evolution, Behavior and Systematics 91
Countries citing papers authored by Christopher Tuffley
This map shows the geographic impact of Christopher Tuffley'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 Christopher Tuffley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Tuffley more than expected).
Fields of papers citing papers by Christopher Tuffley
This network shows the impact of papers produced by Christopher Tuffley. 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 Christopher Tuffley. The network helps show where Christopher Tuffley may publish in the future.
Co-authors
The 7 scholars most cited alongside Christopher Tuffley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 190 | |
| 2 | 1997 | 174 | |
| 3 | 1997 | 172 | |
| 4 | 2012 | 7 | |
| 5 | 2011 | 5 | |
| 6 | 1997 | 3 | |
| 7 | 2011 | 2 | |
| 8 | Dissimilarity maps and substitution models | 1997 | 2 |
| 9 | 2003 | 2 | |
| 10 | 2024 | 1 | |
| 11 | NTRFINDER: AN ALGORITHM TO FIND NESTED TANDEM REPEATS | 2010 | 1 |
| 12 | 2004 | 1 |
About Christopher Tuffley
Christopher Tuffley is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Discrete Mathematics and Combinatorics, having authored 12 papers that have together received 560 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (5 papers), Genetic diversity and population structure (4 papers), RNA and protein synthesis mechanisms (3 papers), Topological and Geometric Data Analysis (3 papers), Evolution and Genetic Dynamics (2 papers), Markov Chains and Monte Carlo Methods (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Paleontology (219 citations), Genetics (328 citations), Molecular Biology (397 citations), History and Philosophy of Science (24 citations) and Ecology, Evolution, Behavior and Systematics (91 citations). Christopher Tuffley has collaborated with scholars based in New Zealand and United States. Frequent co-authors include Mike Steel, Michael D. Hendy, David Penny, Vincent Moulton, James D. L. White, Martin L. Hazelton and Bruce van Brunt. Their work appears in journals such as Bulletin of Mathematical Biology, Bernoulli, Molecular Biology and Evolution, Mathematical Biosciences and Pacific Journal of Mathematics.
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.