Matthew Hurst
About
Matthew Hurst has authored 22 papers that have received a total of 596 indexed citations.
This includes 15 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Web Data Mining and Analysis (10 papers), Advanced Text Analysis Techniques (8 papers) and Complex Network Analysis Techniques (4 papers). Matthew Hurst is often cited by papers focused on Web Data Mining and Analysis (10 papers), Advanced Text Analysis Techniques (8 papers) and Complex Network Analysis Techniques (4 papers) and collaborates with scholars based in United States, United Kingdom and Israel. Matthew Hurst's co-authors include Kamal Nigam, William W. Cohen, Takashi Tomokiyo, M.A. Siegler and Daniel Lopresti and has published in prestigious journals such as Biotechnology Progress and International Journal on Document Analysis and Recognition (IJDAR)
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