NETtalk: a parallel network that learns to read aloud
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In The Last Decade
doi.org/w6524803 →Countries where authors are citing NETtalk: a parallel network that learns to read aloud
This map shows the geographic impact of NETtalk: a parallel network that learns to read aloud. 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 NETtalk: a parallel network that learns to read aloud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NETtalk: a parallel network that learns to read aloud more than expected).
Fields of papers citing NETtalk: a parallel network that learns to read aloud
This network shows the impact of NETtalk: a parallel network that learns to read aloud. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the NETtalk: a parallel network that learns to read aloud.
About NETtalk: a parallel network that learns to read aloud
This paper, published in 1988, received 438 indexed citations . Written by Terrence J. Sejnowski and Charles Rosenberg. It is primarily cited by scholars working on Artificial Intelligence (261 citations), Cognitive Neuroscience (97 citations) and Experimental and Cognitive Psychology (56 citations). Published in MIT Press eBooks.
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.
This paper is also available at doi.org/w6524803.