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.
Clustering Algorithms.
19761.1k citationsRobin Sibson et al.Journal of the Royal Statistical Society Series C (Applied Statistics)profile →
SLINK: An optimally efficient algorithm for the single-link cluster method
This map shows the geographic impact of Robin Sibson'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 Robin Sibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Sibson more than expected).
This network shows the impact of papers produced by Robin Sibson. 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 Robin Sibson. The network helps show where Robin Sibson may publish in the future.
Co-authorship network of co-authors of Robin Sibson
This figure shows the co-authorship network connecting the top 25 collaborators of Robin Sibson.
A scholar is included among the top collaborators of Robin Sibson 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 Robin Sibson. Robin Sibson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Harris, Simon C., David Williams, & Robin Sibson. (1999). Scaling random walks on arbitrary sets. Mathematical Proceedings of the Cambridge Philosophical Society. 125(3). 535–544.4 indexed citations
2.
Nason, Guy P. & Robin Sibson. (1992). Measuring multimodality. Statistics and Computing. 2(3). 153–160.5 indexed citations
3.
Sibson, Robin, et al.. (1991). Computation of Thin-Plate Splines.. SIAM Journal on Scientific Computing. 12. 1304–1313.1 indexed citations
4.
Sibson, Robin, et al.. (1991). Computation of Thin-Plate Splines. SIAM Journal on Scientific and Statistical Computing. 12(6). 1304–1313.54 indexed citations
Sibson, Robin. (1981). A brief description of natural neighbor interpolation. Medical Entomology and Zoology. 69(1). 21–36.475 indexed citations breakdown →
Sibson, Robin, et al.. (1976). Clustering Algorithms.. Journal of the Royal Statistical Society Series C (Applied Statistics). 25(1). 70–70.1085 indexed citations breakdown →
12.
Sibson, Robin, et al.. (1975). Dissociated random variables. Mathematical Proceedings of the Cambridge Philosophical Society. 77(1). 185–188.26 indexed citations
13.
Jardine, Nicholas & Robin Sibson. (1974). Mathematical Taxonomy. Journal of Marketing Research. 11(3). 348–348.377 indexed citations breakdown →
14.
Sibson, Robin. (1972). Order Invariant Methods for Data Analysis. Journal of the Royal Statistical Society Series B (Statistical Methodology). 34(3). 311–338.95 indexed citations
Sibson, Robin. (1970). A model for taxonomy. II. Mathematical Biosciences. 6. 405–430.17 indexed citations
17.
Sibson, Robin. (1969). Information radius. Probability Theory and Related Fields. 14(2). 149–160.157 indexed citations
18.
Sibson, Robin. (1969). Existence theorems for H-space inverses. Mathematical Proceedings of the Cambridge Philosophical Society. 65(1). 19–21.2 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.