Pham Dinh Tuan

18 papers and 376 indexed citations i.

About

Pham Dinh Tuan is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Pham Dinh Tuan has authored 18 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Cognitive Neuroscience. Recurrent topics in Pham Dinh Tuan’s work include Blind Source Separation Techniques (8 papers), Neural Networks and Applications (6 papers) and Control Systems and Identification (3 papers). Pham Dinh Tuan is often cited by papers focused on Blind Source Separation Techniques (8 papers), Neural Networks and Applications (6 papers) and Control Systems and Identification (3 papers). Pham Dinh Tuan collaborates with scholars based in France, Germany and United States. Pham Dinh Tuan's co-authors include Joachim Möcks, Théo Gasser, W Köhler, Madan L. Puri and Thomas Gasser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Pham Dinh Tuan i

Fields of papers citing papers by Pham Dinh Tuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pham Dinh Tuan. 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 Pham Dinh Tuan. The network helps show where Pham Dinh Tuan may publish in the future.

Countries citing papers authored by Pham Dinh Tuan

Since Specialization
Citations

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