On the Rate of Gain of Information1952 · 1.7k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of W. E. Hick'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 W. E. Hick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. E. Hick more than expected).
This network shows the impact of papers produced by W. E. Hick. 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 W. E. Hick. The network helps show where W. E. Hick may publish in the future.
Co-authors
The 1 scholars most cited alongside W. E. Hick, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with W. E. HickLine = papers co-authored togetherW. E. Hick links everyone, so they are left out of the graph.
All Works
7 of 7 papers shown
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Work
1
On the Rate of Gain of Information
Quarterly Journal of Experimental Psychology·W. E. Hick
W. E. Hick is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Statistics and Probability, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (1 paper), Statistical Methods and Inference (1 paper), Bayesian Methods and Mixture Models (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Cognitive Neuroscience (920 citations), General Decision Sciences (87 citations), Human-Computer Interaction (226 citations), Experimental and Cognitive Psychology (343 citations) and Developmental and Educational Psychology (279 citations). W. E. Hick has collaborated with scholars based in United Kingdom. Frequent co-authors include A. T. Welford. Their work appears in journals such as Psychological Review, The Lancet and Quarterly Journal of Experimental Psychology.
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