GE Hinton

10 total papers · 1.2k total citations
6 papers, 570 citations indexed

About

GE Hinton is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, GE Hinton has authored 6 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in GE Hinton’s work include Neural Networks and Applications (2 papers), Scientific Research and Discoveries (1 paper) and Bayesian Methods and Mixture Models (1 paper). GE Hinton is often cited by papers focused on Neural Networks and Applications (2 papers), Scientific Research and Discoveries (1 paper) and Bayesian Methods and Mixture Models (1 paper). GE Hinton collaborates with scholars based in Canada. GE Hinton's co-authors include Zoubin Ghahramani, Zoubin Ghahramani, Andriy Mnih, Peter Dayan, Albert C. To, Tanya Schmah, Grigori Yourganov and Stephen C. Strother and has published in prestigious journals such as NeuroImage, UCL Discovery (University College London) and Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Co-authorship network of co-authors of GE Hinton

This figure shows the co-authorship network connecting the top 25 collaborators of GE Hinton. A scholar is included among the top collaborators of GE Hinton 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 GE Hinton. GE Hinton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

GE Hinton

6 papers receiving 527 citations

Fields of papers citing papers by GE Hinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by GE Hinton

Since Specialization
Citations

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