GH Glover

About

GH Glover is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Industrial relations. According to data from OpenAlex, GH Glover has authored 3 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in GH Glover’s work include Neural and Behavioral Psychology Studies (1 paper), Memory Processes and Influences (1 paper) and Neural Networks and Applications (1 paper). GH Glover is often cited by papers focused on Neural and Behavioral Psychology Studies (1 paper), Memory Processes and Influences (1 paper) and Neural Networks and Applications (1 paper). GH Glover collaborates with scholars based in United States. GH Glover's co-authors include Jonathan B. Demb, Chandan J. Vaidya and Norbert J. Pelc and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Magnetic Resonance Imaging.

In The Last Decade

Co-authorship network of co-authors of GH Glover i

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Fields of papers citing papers by GH Glover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by GH Glover

Since Specialization

Citations

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