A Critical Review of Recurrent Neural Networks for Sequence Learning2015 · 1.4k 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.
Countries citing papers authored by John Berkowitz
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Citations
This map shows the geographic impact of John Berkowitz'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 John Berkowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Berkowitz more than expected).
This network shows the impact of papers produced by John Berkowitz. 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 John Berkowitz. The network helps show where John Berkowitz may publish in the future.
Co-authors
The 3 scholars most cited alongside John Berkowitz, 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 John BerkowitzLine = papers co-authored togetherJohn Berkowitz links everyone, so they are left out of the graph.
All Works
3 of 3 papers shown
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Work
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A Critical Review of Recurrent Neural Networks for Sequence Learning
John Berkowitz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), stochastic dynamics and bifurcation (1 paper), Neuroscience and Neural Engineering (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Signal Processing (185 citations), Artificial Intelligence (519 citations), Computer Vision and Pattern Recognition (254 citations), Management Science and Operations Research (105 citations) and Building and Construction (93 citations). John Berkowitz has collaborated with scholars based in United States. Frequent co-authors include Zachary C. Lipton, Charles Elkan and Tatyana O. Sharpee. Their work appears in journals such as Neural Computation, Current Opinion in Behavioral Sciences and arXiv (Cornell University).
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