Signe Redfield

11 papers and 1.7k indexed citations i.

About

Signe Redfield is a scholar working on Artificial Intelligence, Control and Systems Engineering and Neurology. According to data from OpenAlex, Signe Redfield has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Neurology. Recurrent topics in Signe Redfield’s work include Semantic Web and Ontologies (3 papers), Long-Term Effects of COVID-19 (3 papers) and Robotics and Automated Systems (2 papers). Signe Redfield is often cited by papers focused on Semantic Web and Ontologies (3 papers), Long-Term Effects of COVID-19 (3 papers) and Robotics and Automated Systems (2 papers). Signe Redfield collaborates with scholars based in United States, United Kingdom and Portugal. Signe Redfield's co-authors include Athena Akrami, Hannah Davis, Gina Assaf, Lisa McCorkell, Jared P. Austin, Yochai Re’em, Ryan Low, Hannah Wei, Paulo Gonçalves and Sandro Rama Fiorini and has published in prestigious journals such as Cell, Ocean Engineering and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Co-authorship network of co-authors of Signe Redfield

This figure shows the co-authorship network connecting the top 25 collaborators of Signe Redfield. A scholar is included among the top collaborators of Signe Redfield based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Signe Redfield. Signe Redfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Signe Redfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Signe Redfield

Since Specialization
Citations

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