Arlene W. Weiner

About

Arlene W. Weiner is a scholar working on Developmental and Educational Psychology, Education and Artificial Intelligence. According to data from OpenAlex, Arlene W. Weiner has authored 7 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental and Educational Psychology, 3 papers in Education and 1 paper in Artificial Intelligence. Recurrent topics in Arlene W. Weiner’s work include Innovative Teaching and Learning Methods (4 papers), E-Learning and Knowledge Management (1 paper) and Online and Blended Learning (1 paper). Arlene W. Weiner is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), E-Learning and Knowledge Management (1 paper) and Online and Blended Learning (1 paper). Arlene W. Weiner collaborates with scholars based in United States. Arlene W. Weiner's co-authors include Eva Erdosne Toth, Dan Suthers, Daniel D. Suthers, Alan M. Lesgold, Madalon Amenta, Massimo Paolucci, John Connelly, Violetta Cavalli‐Sforza and Anthony Lutkus and has published in prestigious journals such as Science Education, Psychological Reports and Geriatric Nursing.

In The Last Decade

Co-authorship network of co-authors of Arlene W. Weiner i

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Fields of papers citing papers by Arlene W. Weiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arlene W. Weiner

Since Specialization

Citations

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