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.
Countries citing papers authored by Roderick Murray‐Smith
Since
Specialization
Citations
This map shows the geographic impact of Roderick Murray‐Smith'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 Roderick Murray‐Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roderick Murray‐Smith more than expected).
Fields of papers citing papers by Roderick Murray‐Smith
This network shows the impact of papers produced by Roderick Murray‐Smith. 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 Roderick Murray‐Smith. The network helps show where Roderick Murray‐Smith may publish in the future.
Co-authorship network of co-authors of Roderick Murray‐Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Roderick Murray‐Smith.
A scholar is included among the top collaborators of Roderick Murray‐Smith 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 Roderick Murray‐Smith. Roderick Murray‐Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Faccio, Daniele, et al.. (2018). Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 31. 3280–3291.7 indexed citations
7.
Blankertz, Benjamin, Guido Dornhege, Matthias Krauledat, et al.. (2006). The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell. Maynooth University ePrints and eTheses Archive (Maynooth University).74 indexed citations
8.
Murray‐Smith, Roderick & Barak A. Pearlmutter. (2003). Transformations of Gaussian Process Priors. Maynooth University ePrints and eTheses Archive (Maynooth University).1 indexed citations
9.
Girard, Agathe, et al.. (2003). Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty. Neural Information Processing Systems. 529–536.32 indexed citations
10.
Girard, Agathe, Carl Edward Rasmussen, Joaquin Quiñonero Candela, & Roderick Murray‐Smith. (2002). Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting. Cambridge University Engineering Department Publications Database. 15. 545–552.241 indexed citations
11.
Solak, Ercan, Roderick Murray‐Smith, Douglas J. Leith, & Carl Edward Rasmussen. (2002). Derivative Observations in Gaussian Process Models of Dynamic Systems. Cambridge University Engineering Department Publications Database. 1057–1064.167 indexed citations
12.
Leith, Douglas J., et al.. (2000). A Gaussian process prior/velocity-based framework for nonlinear modelling and control. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 indexed citations
Williamson, Matthew M., et al.. (1998). Robot Docking Using Mixtures of Gaussians. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 11. 945–951.4 indexed citations
15.
Shorten, Robert & Roderick Murray‐Smith. (1997). Side-effects of normalising basis functions in local model networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).14 indexed citations
Johansen, Tor Arne & Roderick Murray‐Smith. (1997). The operating regime approach to nonlinear modelling and control. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).67 indexed citations
18.
Murray‐Smith, Roderick & H. Gollee. (1995). A Constructive Learning Algorithm for Local Model Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).10 indexed citations
19.
Hunt, Kenneth J., et al.. (1994). Dimensionality reduction in basis-function networks: exploiting the link with fuzzy systems. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).2 indexed citations
20.
Murray‐Smith, Roderick. (1992). A fractal radial basis function network for modelling. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 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.