This map shows the geographic impact of Colin Fyfe'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 Colin Fyfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Fyfe more than expected).
This network shows the impact of papers produced by Colin Fyfe. 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 Colin Fyfe. The network helps show where Colin Fyfe may publish in the future.
Co-authorship network of co-authors of Colin Fyfe
This figure shows the co-authorship network connecting the top 25 collaborators of Colin Fyfe.
A scholar is included among the top collaborators of Colin Fyfe 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 Colin Fyfe. Colin Fyfe 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.
Fyfe, Colin, et al.. (2013). Visualising Temporal Data Using Reservoir Computing. Journal of information science and engineering. 29. 695–709.1 indexed citations
2.
García‐Pedrajas, Nicolás, Francisco Herrera, José M. Benítez, Colin Fyfe, & Moonis Ali. (2010). Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III.1 indexed citations
3.
García‐Pedrajas, Nicolás, César García‐Osorio, & Colin Fyfe. (2007). Nonlinear Boosting Projections for Ensemble Construction. Journal of Machine Learning Research. 8(1). 1–33.71 indexed citations
4.
Wu, Ying & Colin Fyfe. (2007). The on-line cross entropy method for unsupervised data exploration. WSEAS Transactions on Mathematics archive. 6(12). 865–877.4 indexed citations
5.
Peña, Marian & Colin Fyfe. (2006). Outlier Identification with the Harmonic Topographic Mapping. The European Symposium on Artificial Neural Networks. 289–294.5 indexed citations
6.
García‐Pedrajas, Nicolás & Colin Fyfe. (2006). Immune Network based Ensembles.. The European Symposium on Artificial Neural Networks. 437–442.2 indexed citations
7.
Fyfe, Colin, et al.. (2006). A Gaussian process latent variable model formulation of canonical correlation analysis.. The European Symposium on Artificial Neural Networks. 413–418.7 indexed citations
8.
Peña, Marian, et al.. (2006). Quantization errors in the harmonic topographic mapping. International Conference on Signal Processing. 105–110.7 indexed citations
9.
Peña, Marian & Colin Fyfe. (2005). Tight clusters and smooth manifolds with the harmonic topographic map. 528–533.
10.
Fyfe, Colin, et al.. (2005). Phase transition in sparse associative neural networks. The European Symposium on Artificial Neural Networks. 387–392.1 indexed citations
11.
Fyfe, Colin & Emilio Corchado. (2002). Maximum Likelihood Hebbian Rules. The European Symposium on Artificial Neural Networks. 143–148.26 indexed citations
12.
Han, Ying & Colin Fyfe. (2002). Forecasting using twinned principal curves.. The European Symposium on Artificial Neural Networks. 471–476.2 indexed citations
13.
MacDonald, Donald & Colin Fyfe. (2002). Clustering in data space and feature space.. The European Symposium on Artificial Neural Networks. 137–142.4 indexed citations
14.
Tarbert, Heather, et al.. (2001). Risk adjusted returns to technical trading rules: a genetic programming approach.7 indexed citations
15.
Corchado, Emilio, Darryl Charles, & Colin Fyfe. (2001). Rectified Gaussian Distributions And The Formation Of Local Filters From Video Data. The European Symposium on Artificial Neural Networks. 397–402.2 indexed citations
16.
MacDonald, Donald, et al.. (1999). Comparison Of Kohonen, Scale-Invariant and GTM Self- organising Maps for interpretation of Spectral Data. The European Symposium on Artificial Neural Networks. 117–122.4 indexed citations
17.
MacDonald, Donald, Darryl Charles, & Colin Fyfe. (1999). Neural Networks which identify Composite Factors. The European Symposium on Artificial Neural Networks. 281–288.4 indexed citations
18.
Fyfe, Colin. (1999). Trends in Unsupervised Learning.. The European Symposium on Artificial Neural Networks. 319–326.1 indexed citations
19.
Fyfe, Colin, et al.. (1998). Canonical Correlation Analysis Using Artificial Neural Networks. The European Symposium on Artificial Neural Networks. 363–368.15 indexed citations
20.
Fyfe, Colin, et al.. (1998). Invariant feature maps for analysis of orientations in image data.. The European Symposium on Artificial Neural Networks. 215–220.2 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.