George M. Georgiou

9 papers and 210 indexed citations i.

About

George M. Georgiou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, George M. Georgiou has authored 9 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in George M. Georgiou’s work include Neural Networks and Applications (6 papers), Blind Source Separation Techniques (2 papers) and Face and Expression Recognition (2 papers). George M. Georgiou is often cited by papers focused on Neural Networks and Applications (6 papers), Blind Source Separation Techniques (2 papers) and Face and Expression Recognition (2 papers). George M. Georgiou collaborates with scholars based in United States. George M. Georgiou's co-authors include Cris Koutsougeras and Kerstin Voigt and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Electronics Letters and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Co-authorship network of co-authors of George M. Georgiou i

Fields of papers citing papers by George M. Georgiou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Georgiou. 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 George M. Georgiou. The network helps show where George M. Georgiou may publish in the future.

Countries citing papers authored by George M. Georgiou

Since Specialization
Citations

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