E. W. Dolch

54 total papers · 468 total citations
6 papers, 31 citations indexed

About

E. W. Dolch is a scholar working on Artificial Intelligence, Education and Infectious Diseases. According to data from OpenAlex, E. W. Dolch has authored 6 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Education and 0 papers in Infectious Diseases. Recurrent topics in E. W. Dolch’s work include Natural Language Processing Techniques (1 paper) and Education and Technology Integration (1 paper). E. W. Dolch is often cited by papers focused on Natural Language Processing Techniques (1 paper) and Education and Technology Integration (1 paper). E. W. Dolch collaborates with scholars based in United States. E. W. Dolch's co-authors include and and has published in prestigious journals such as The Elementary School Journal, The Journal of Educational Research and The Journal of Negro Education.
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E. W. Dolch

3 papers receiving 14 citations

Fields of papers citing papers by E. W. Dolch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. W. Dolch. 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 E. W. Dolch. The network helps show where E. W. Dolch may publish in the future.

Countries citing papers authored by E. W. Dolch

Since Specialization
Citations

This map shows the geographic impact of E. W. Dolch'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 E. W. Dolch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. W. Dolch more than expected).

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.

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2026