Edgar Fuller

38 papers and 420 indexed citations i.

About

Edgar Fuller is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Education. According to data from OpenAlex, Edgar Fuller has authored 38 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 8 papers in Education. Recurrent topics in Edgar Fuller’s work include Complex Network Analysis Techniques (9 papers), Neural Networks and Applications (5 papers) and Career Development and Diversity (5 papers). Edgar Fuller is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Neural Networks and Applications (5 papers) and Career Development and Diversity (5 papers). Edgar Fuller collaborates with scholars based in United States, China and Italy. Edgar Fuller's co-authors include Cun‐Quan Zhang, Xingqin Qi, Qin Wu, Yezhou Wu, Gwendolyn Lawrie, Elizabeth Marquis, Rong Luo, Yusen Zhang, Guodong Guo and Marjorie Darrah and has published in prestigious journals such as Science, Information Sciences and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Edgar Fuller i

Fields of papers citing papers by Edgar Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Edgar Fuller

Since Specialization
Citations

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