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.
Prediction and Functional Analysis of Native Disorder in Proteins from the Three Kingdoms of Life
20041.6k citationsJonathan J. Ward, Jaspreet Singh Sodhi et al.profile →
The DISOPRED server for the prediction of protein disorder
2004575 citationsJonathan J. Ward, Bernard F. Buxton et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Bernard F. Buxton
Since
Specialization
Citations
This map shows the geographic impact of Bernard F. Buxton'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 Bernard F. Buxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard F. Buxton more than expected).
Fields of papers citing papers by Bernard F. Buxton
This network shows the impact of papers produced by Bernard F. Buxton. 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 Bernard F. Buxton. The network helps show where Bernard F. Buxton may publish in the future.
Co-authorship network of co-authors of Bernard F. Buxton
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard F. Buxton.
A scholar is included among the top collaborators of Bernard F. Buxton 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 Bernard F. Buxton. Bernard F. Buxton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Buxton, Bernard F., et al.. (2007). Enhanced Case-Based Reasoning trough Use of Argumentation and Numerical Taxonomy.. The Florida AI Research Society. 423–428.2 indexed citations
Chatten, Amanda J., K.W.J. Barnham, Bernard F. Buxton, Nicholas J. Ekins‐Daukes, & M. A. Malik. (2004). Quantum dot solar concentrators. Semiconductors. 38(8). 909–917.74 indexed citations
5.
Chatten, Amanda J., K.W.J. Barnham, Bernard F. Buxton, Nicholas J. Ekins‐Daukes, & M. A. Malik. (2003). The quantum dot concentrator: theory and results. 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of. 3. 2657–2660.10 indexed citations
6.
Zhang, Dongliang, et al.. (2003). Animating scanned human models. Digital Library (University of West Bohemia).7 indexed citations
7.
Langdon, William B. & Bernard F. Buxton. (2001). Genetic programming for combining classifiers. UCL Discovery (University College London). 66–73.29 indexed citations
8.
Alexander, Daniel C. & Bernard F. Buxton. (1997). Implementational Improvements for Active Region Models.. UCL Discovery (University College London).3 indexed citations
Buxton, Bernard F., et al.. (1988). Optimizing, regularization and simulated annealing in low-level computer vision. Oxford University Press eBooks. 1–18.3 indexed citations
Buxton, Bernard F., Hilary Buxton, David W. Murray, & N S Williams. (1984). 3D solutions to the aperture problem. Oxford University Research Archive (ORA) (University of Oxford). 105–114.15 indexed citations
Buxton, Bernard F., et al.. (1976). The symmetry of electron diffraction zone axis patterns. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 281(1301). 171–194.340 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.