Anthony Bagnall
- Signal Processing top 0.1%
- Artificial Intelligence top 0.5%
- Economics and Econometrics top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 2%
- Co-authors
- Jason LinesJames LargeAaron BostromJon HillsEamonn KeoghMatthew MiddlehurstSarah TaylorV. J. Rayward‐Smith
- Topics
- Time Series Analysis and Forecasting (32 papers)Complex Systems and Time Series Analysis (20 papers)Anomaly Detection Techniques and Applications (19 papers)
- Journals
- Pattern RecognitionIEEE Transactions on CyberneticsIEEE Transactions on Evolutionary Computation
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Anthony Bagnall
53 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Signal Processing 2.6k
- Artificial Intelligence 2.3k
- Economics and Econometrics 688
- Computer Vision and Pattern Recognition 293
- Information Systems 284
Countries citing papers authored by Anthony Bagnall
This map shows the geographic impact of Anthony Bagnall'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 Anthony Bagnall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Bagnall more than expected).
Fields of papers citing papers by Anthony Bagnall
This network shows the impact of papers produced by Anthony Bagnall. 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 Anthony Bagnall. The network helps show where Anthony Bagnall may publish in the future.
Co-authorship network of co-authors of Anthony Bagnall
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Bagnall. A scholar is included among the top collaborators of Anthony Bagnall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anthony Bagnall. Anthony Bagnall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bake off redux: a review and experimental evaluation of recent time series classification algorithmsbreakdown → | 58 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advancesbreakdown → | 285 |
| 9 | 4 | |
| 10 | 54 | |
| 11 | 58 | |
| 12 | 17 | |
| 13 | 65 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana | 2 |
| 17 | A Comparison of DWT/PAA and DFT for Time Series Classification | 0 |
| 18 | 4 | |
| 19 | A multi-adaptive agent model of generator bidding in the UK market in electricity | 26 |
| 20 | 17 |
About Anthony Bagnall
Anthony Bagnall is a scholar working on Signal Processing, Artificial Intelligence and Economics and Econometrics, having authored 56 papers that have together received 3.8k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (32 papers), Complex Systems and Time Series Analysis (20 papers) and Anomaly Detection Techniques and Applications (19 papers). The work is most often cited by research in Signal Processing (2.6k citations), Artificial Intelligence (2.3k citations) and Software (144 citations). Anthony Bagnall has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Jason Lines, James Large, Aaron Bostrom, Jon Hills, Eamonn Keogh, Matthew Middlehurst, Sarah Taylor, V. J. Rayward‐Smith, G. J. Janacek and Ian Whittley. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.
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.