Harriet Fell

23 papers and 244 indexed citations i.

About

Harriet Fell is a scholar working on Artificial Intelligence, Education and Computational Theory and Mathematics. According to data from OpenAlex, Harriet Fell has authored 23 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Education and 5 papers in Computational Theory and Mathematics. Recurrent topics in Harriet Fell’s work include Computability, Logic, AI Algorithms (4 papers), Teaching and Learning Programming (4 papers) and Infant Health and Development (4 papers). Harriet Fell is often cited by papers focused on Computability, Logic, AI Algorithms (4 papers), Teaching and Learning Programming (4 papers) and Infant Health and Development (4 papers). Harriet Fell collaborates with scholars based in United States, France and Mexico. Harriet Fell's co-authors include Viera K. Proulx, Richard Rasala, Suzanne Boyce, Linda J. Ferrier, Karen Chenausky, Reza Asadı, John Casey, Timothy Bickmore, Ha Trinh and Cynthia A. Brown and has published in prestigious journals such as The Journal of the Acoustical Society of America, American Mathematical Monthly and Pacific Journal of Mathematics.

In The Last Decade

Co-authorship network of co-authors of Harriet Fell i

Fields of papers citing papers by Harriet Fell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Harriet Fell

Since Specialization
Citations

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