Christopher Tuffley

771 citations
18 papers · 509 · h-index 6

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Protist diversity and phylogeny

Papers in

Christopher Tuffley

15 papers receiving 467 citations

Peers

Christopher Tuffley
Comparison fields: 5 of 40
  • Paleontology 98
  • Molecular Biology 343
  • Ecology, Evolution, Behavior and Systematics 77
  • Genetics 76
  • Mathematical Physics 26
Replace Andreas Spillner with:
Andreas Spillner Germany
W. J. Le Quesne
Carlos Johnson United States
István Miklós Hungary
E.O. Wiley
Yan Yu Zhou Canada
Christopher P. Randle United States
Nancy A. Neff United States
James A. Cavender United States
Cuong V. Than United States
Christopher Tuffley relative to Andreas Spillner Germany Andreas Spillner's profile →
Citations per field
00.5×2×4×5.2×
Andreas Spillner · 1×
Citations per year

Countries citing papers authored by Christopher Tuffley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 8 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.

Border = papers with Christopher Tuffley Line = papers co-authored together Christopher Tuffley links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1997237
2 1998219
3 200211
4 20178
5 20117
6 20126
7 20034
8 19973
9 20113
10
Dissimilarity maps and substitution models
19972
11 20042
12 20092
13 20122
14 20101
15 20131
16 20241
17 20210
18 20250

About Christopher Tuffley

Christopher Tuffley is a scholar working on Geometry and Topology, Mathematical Physics, Artificial Intelligence, Genetics and Molecular Biology, having authored 18 papers that have together received 509 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (6 papers), Geometric and Algebraic Topology (5 papers), Homotopy and Cohomology in Algebraic Topology (3 papers), Fractal and DNA sequence analysis (2 papers), Genome Rearrangement Algorithms (2 papers), Mathematical Dynamics and Fractals (1 paper) and Advanced Topics in Algebra (1 paper). The work is most often cited by research in Paleontology (98 citations), Molecular Biology (343 citations), Ecology, Evolution, Behavior and Systematics (77 citations), Genetics (76 citations) and Mathematical Physics (26 citations). Christopher Tuffley has collaborated with scholars based in New Zealand, United States and Oman. Frequent co-authors include Mike Steel, Michael D. Hendy, Vincent Moulton, David Penny, David Bryant, James D. L. White, Martin L. Hazelton and Bruce van Brunt. Their work appears in journals such as Algebraic & Geometric Topology, Bulletin of Mathematical Biology, Journal of Computational Biology, Molecular Biology and Evolution and International Journal of Bifurcation and Chaos.

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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