Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction
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doi.org/w47115621 →Countries where authors are citing Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction
This map shows the geographic impact of Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction. 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 Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction more than expected).
Fields of papers citing Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction
This network shows the impact of Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction.
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/w47115621.