Alex Graves

32 papers and 26.0k indexed citations i.

About

Alex Graves is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alex Graves has authored 32 papers receiving a total of 26.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Alex Graves’s work include Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (7 papers). Alex Graves is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (7 papers). Alex Graves collaborates with scholars based in United States, United Kingdom and Germany. Alex Graves's co-authors include Jürgen Schmidhuber, Abdelrahman Mohamed, Geoffrey E. Hinton, Daan Wierstra, Koray Kavukcuoglu, Demis Hassabis, Georg Ostrovski, Marc G. Bellemare, David Silver and Volodymyr Mnih and has published in prestigious journals such as Nature, Nature Communications and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Alex Graves i

Fields of papers citing papers by Alex Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alex Graves

Since Specialization
Citations

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