Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science
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doi.org/10.1111/jcpp.13534 →Countries where authors are citing Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science
This map shows the geographic impact of Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science. 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 Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science more than expected).
Fields of papers citing Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science
This network shows the impact of Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science.
About Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science
This paper, published in 2021, received 338 indexed citations . Written by Elizabeth Pellicano and Jacquiline den Houting covering the research area of Cognitive Neuroscience, Genetics and Psychiatry and Mental health. It is primarily cited by scholars working on Cognitive Neuroscience (265 citations), Clinical Psychology (186 citations) and Education (65 citations). Published in Journal of Child Psychology and Psychiatry.
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/10.1111/jcpp.13534.