James Mapp
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Neural Networks and Applications
Papers in
-
- Advanced X-ray Imaging Techniques 1
- Co-authors
- Anthony J. Bagnall (2 shared papers)Jason Lines (2 shared papers)Jon Hills (1 shared paper)Mark H. Fisher (3 shared papers)Ewan Hunter (2 shared papers)Jeroen van der Kooij (1 shared paper)Robert Atwood (1 shared paper)G.D. Bell (1 shared paper)
- Journals
- Journal of Fish Biology (1 paper)Fisheries Research (1 paper)Data Mining and Knowledge Discovery (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
James Mapp
5 papers receiving 457 citations
James Mapp's Hit Papers
Peers
Comparison fields: 5 of 66
- Signal Processing 351
- Artificial Intelligence 272
- Economics and Econometrics 100
- Aquatic Science 23
- Global and Planetary Change 50
Countries citing papers authored by James Mapp
This map shows the geographic impact of James Mapp'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 James Mapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Mapp more than expected).
Fields of papers citing papers by James Mapp
This network shows the impact of papers produced by James Mapp. 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 James Mapp. The network helps show where James Mapp may publish in the future.
Co-authors
The 12 scholars most cited alongside James Mapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Classification of time series by shapelet transformation Hit paper breakdown → | 2013 | 408 |
| 2 | 2017 | 47 | |
| 3 | 2016 | 11 | |
| 4 | Energy-efficient purchasing by state and local government: Triggering a landslide down the slippery slope to market transformation | 2004 | 4 |
| 5 | 2013 | 2 |
About James Mapp
James Mapp is a scholar working on Paleontology, Radiation, Signal Processing, Management, Monitoring, Policy and Law and Nature and Landscape Conservation, having authored 5 papers that have together received 472 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (1 paper), Genetic and phenotypic traits in livestock (1 paper), Energy, Environment, and Transportation Policies (1 paper), Advanced X-ray Imaging Techniques (1 paper), Time Series Analysis and Forecasting (1 paper), Optical measurement and interference techniques (1 paper), Marine and fisheries research (1 paper) and Energy Efficiency and Management (1 paper). The work is most often cited by research in Signal Processing (351 citations), Artificial Intelligence (272 citations), Economics and Econometrics (100 citations), Aquatic Science (23 citations) and Global and Planetary Change (50 citations). James Mapp has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Anthony J. Bagnall, Jason Lines, Jon Hills, Mark H. Fisher, Ewan Hunter, Jeroen van der Kooij, Robert Atwood, G.D. Bell, Mark K. Greco and Jeffrey P. Harris. Their work appears in journals such as Journal of Fish Biology, Fisheries Research, Data Mining and Knowledge Discovery and eScholarship (California Digital Library).
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.