Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Magma Algebra System I: The User Language
19973.4k citationsWieb Bosma, John Cannon et al.Journal of Symbolic Computationprofile →
Ocean Basin Evolution and Global-Scale Plate Reorganization Events Since Pangea Breakup
2016809 citationsR. Dietmar Müller, Maria Seton et al.profile →
GPlates: Building a Virtual Earth Through Deep Time
2018505 citationsR. Dietmar Müller, John Cannon et al.profile →
A Global Plate Model Including Lithospheric Deformation Along Major Rifts and Orogens Since the Triassic
2019414 citationsR. Dietmar Müller, Sabin Zahirovic et al.Tectonicsprofile →
Extending full-plate tectonic models into deep time: Linking the Neoproterozoic and the Phanerozoic
2020317 citationsAndrew Merdith, Simon Williams et al.profile →
A Global Data Set of Present‐Day Oceanic Crustal Age and Seafloor Spreading Parameters
2020223 citationsMaria Seton, R. Dietmar Müller et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of John Cannon'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 John Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Cannon more than expected).
This network shows the impact of papers produced by John Cannon. 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 John Cannon. The network helps show where John Cannon may publish in the future.
Co-authorship network of co-authors of John Cannon
This figure shows the co-authorship network connecting the top 25 collaborators of John Cannon.
A scholar is included among the top collaborators of John Cannon 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 John Cannon. John Cannon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Müller, R. Dietmar, Sabin Zahirovic, Simon Williams, et al.. (2019). A Global Plate Model Including Lithospheric Deformation Along Major Rifts and Orogens Since the Triassic. Tectonics. 38(6). 1884–1907.414 indexed citations breakdown →
Williams, Simon, John Cannon, Xiaodong Qin, & R. Dietmar Müller. (2017). PyGPlates - a GPlates Python library for data analysis through space and deep geological time. EGUGA. 8556.1 indexed citations
Cannon, John, et al.. (2009). Algebraic Programming with Magma II: An Introduction to the Magma Categories. Springer eBooks.2 indexed citations
11.
Cannon, John, et al.. (2006). Algebraic Programming with Magma I: An Introduction to the Magma Language. Springer eBooks.8 indexed citations
12.
Bosma, Wieb & John Cannon. (2006). Discovering Mathematics with Magma: Reducing the Abstract to the Concrete (Algorithms and Computation in Mathematics).4 indexed citations
Bosma, Wieb, et al.. (1997). The Magma Algebra System I: The User Language. Journal of Symbolic Computation. 24(3-4). 235–265.3384 indexed citations breakdown →
Bosma, Wieb & John Cannon. (1992). Structural computations in finite permutation groups. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 5(2). 127–160.4 indexed citations
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.