Matthew Hurst

24 papers and 606 indexed citations i.

About

Matthew Hurst is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew Hurst has authored 24 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew Hurst’s work include 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). Matthew Hurst collaborates with scholars based in United States, United Kingdom and Japan. Matthew Hurst's co-authors include Takashi Tomokiyo, Kamal Nigam, Hassan Sayyadi, William W. Cohen, George Nagy, David W. Embley, Daniel Lopresti, Natalie Glance, M.A. Siegler and Michael Gamon and has published in prestigious journals such as Limnology and Oceanography, Biotechnology Progress and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Co-authorship network of co-authors of Matthew Hurst i

Fields of papers citing papers by Matthew Hurst

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Matthew Hurst. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matthew Hurst may publish in the future.

Countries citing papers authored by Matthew Hurst

Since Specialization
Citations

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

Rankless by CCL
2025