Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy
Impact in
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- David Wiley
In The Last Decade
doi.org/w26178107 →Countries where authors are citing Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy
This map shows the geographic impact of Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. 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 Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy more than expected).
Fields of papers citing Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy
This network shows the impact of Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy.
About Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy
This paper, published in 2000, received 1.1k indexed citations . Written by David Wiley covering the research area of Computer Science Applications and Sociology and Political Science. It is primarily cited by scholars working on Computer Science Applications (842 citations), Information Systems (308 citations), Education (268 citations), Developmental and Educational Psychology (166 citations) and Sociology and Political Science (155 citations).
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/w26178107.