Carol Righi

4 papers and 65 indexed citations i.

About

Carol Righi is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Carol Righi has authored 4 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Artificial Intelligence and 1 paper in Management Information Systems. Recurrent topics in Carol Righi’s work include Innovative Teaching and Learning Methods (1 paper), Big Data and Business Intelligence (1 paper) and Information Architecture and Usability (1 paper). Carol Righi is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Big Data and Business Intelligence (1 paper) and Information Architecture and Usability (1 paper). Carol Righi collaborates with scholars based in United States. Carol Righi's co-authors include Scott Isensee, Donald Day and Mary Alice White and has published in prestigious journals such as Educational Technology Research and Development, Journal of Usability Studies archive and Prentice Hall PTR eBooks.

In The Last Decade

Co-authorship network of co-authors of Carol Righi i

Fields of papers citing papers by Carol Righi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Righi. 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 Carol Righi. The network helps show where Carol Righi may publish in the future.

Countries citing papers authored by Carol Righi

Since Specialization
Citations

This map shows the geographic impact of Carol Righi'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 Carol Righi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Righi 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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2025