Mary E. Kaye

13 papers and 181 indexed citations i.

About

Mary E. Kaye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mary E. Kaye has authored 13 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mary E. Kaye’s work include Autonomous Vehicle Technology and Safety (3 papers), Energy Load and Power Forecasting (3 papers) and Robotic Path Planning Algorithms (3 papers). Mary E. Kaye is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Energy Load and Power Forecasting (3 papers) and Robotic Path Planning Algorithms (3 papers). Mary E. Kaye collaborates with scholars based in Canada, United States and Japan. Mary E. Kaye's co-authors include Liuchen Chang, Ashraf Ul Haque, Paras Mandal, Tomonobu Senjyu, Julian Meng, Chris Diduch, Rachid Errouissi, Erik Scheme, Howard Li and Yi Fu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and IEEE Transactions on Smart Grid.

In The Last Decade

Co-authorship network of co-authors of Mary E. Kaye i

Fields of papers citing papers by Mary E. Kaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Kaye. 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 Mary E. Kaye. The network helps show where Mary E. Kaye may publish in the future.

Countries citing papers authored by Mary E. Kaye

Since Specialization
Citations

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