Anthony Bagnall

45 papers and 3.1k indexed citations i.

Anthony Bagnall has authored 45 papers that have received a total of 3.1k indexed citations. This includes 32 papers in Artificial Intelligence, 28 papers in Signal Processing and 17 papers in Economics and Econometrics. The topics of these papers are Time Series Analysis and Forecasting (28 papers), Anomaly Detection Techniques and Applications (19 papers) and Complex Systems and Time Series Analysis (17 papers). Anthony Bagnall is often cited by papers focused on Time Series Analysis and Forecasting (28 papers), Anomaly Detection Techniques and Applications (19 papers) and Complex Systems and Time Series Analysis (17 papers) and collaborates with scholars based in United Kingdom, United States and France. Anthony Bagnall's co-authors include Jason Lines, James Large, Matthew Middlehurst, Eamonn Keogh and Jon Hills and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation