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.
Efficient Salient Region Detection with Soft Image Abstraction
2013411 citationsJonathan Warrell, Nigel Crook et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Nigel Crook'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 Nigel Crook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Crook more than expected).
This network shows the impact of papers produced by Nigel Crook. 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 Nigel Crook. The network helps show where Nigel Crook may publish in the future.
Co-authorship network of co-authors of Nigel Crook
This figure shows the co-authorship network connecting the top 25 collaborators of Nigel Crook.
A scholar is included among the top collaborators of Nigel Crook 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 Nigel Crook. Nigel Crook is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rolf, Matthias & Nigel Crook. (2016). What If: Robots Create Novel Goals? Ethics Based on Social Value Systems.. Radar (Oxford Brookes University). 20–25.3 indexed citations
Warrell, Jonathan, et al.. (2012). Simultaneous Human Segmentation, Depth and Pose Estimation via Dual Decomposition. ANU Open Research (Australian National University).6 indexed citations
Crook, Nigel, et al.. (2007). Human Motion Recognition using Nonlinear Transient Computation. Oxford University Research Archive (ORA) (University of Oxford). 543–548.1 indexed citations
13.
Crook, Nigel, et al.. (2007). Pattern Recognition using Chaotic Transients.. Oxford University Research Archive (ORA) (University of Oxford). 7–12.8 indexed citations
14.
Crook, Nigel. (2006). Nonlinear transient computation and variable noise tolerance.. The European Symposium on Artificial Neural Networks. 509–514.3 indexed citations
Crook, Nigel, et al.. (2005). The Nonlinear Dynamic State neuron.. The European Symposium on Artificial Neural Networks. 56(1). 37–42.12 indexed citations
17.
Crook, Nigel. (2004). A chaotic basis for neural coding.. The European Symposium on Artificial Neural Networks. 151–156.1 indexed citations
Crook, Nigel & T. Scheper. (2001). A novel chaotic neural network architecture.. The European Symposium on Artificial Neural Networks. 295–300.6 indexed citations
20.
Scheper, T., et al.. (1998). Chaos as a Desirable Stable State of Artificial Neural Networks.. Natural Computing. 419–423.4 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.