Alex J. Cannon
- Global and Planetary Change top 0.2%
- Atmospheric Science top 0.5%
- Water Science and Technology top 0.2%
- Environmental Engineering top 0.5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Trevor Q. MurdockS. R. SobiePaul H. WhitfieldWilliam W. HsiehFrancis W. ZwiersA. T. WernerAranildo R. LimaKabir Rasouli
- Topics
- Climate variability and models (101 papers)Meteorological Phenomena and Simulations (48 papers)Hydrology and Watershed Management Studies (37 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Alex J. Cannon
145 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Global and Planetary Change 5.0k
- Atmospheric Science 3.2k
- Water Science and Technology 2.4k
- Environmental Engineering 1.4k
- Ecology, Evolution, Behavior and Systematics 556
Countries citing papers authored by Alex J. Cannon
This map shows the geographic impact of Alex J. Cannon'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 Alex J. Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex J. Cannon more than expected).
Fields of papers citing papers by Alex J. Cannon
This network shows the impact of papers produced by Alex J. Cannon. 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 Alex J. Cannon. The network helps show where Alex J. Cannon may publish in the future.
Co-authorship network of co-authors of Alex J. Cannon
This figure shows the co-authorship network connecting the top 25 collaborators of Alex J. Cannon. A scholar is included among the top collaborators of Alex J. Cannon 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 Alex J. Cannon. Alex J. Cannon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 115 | |
| 12 | 49 | |
| 13 | 82 | |
| 14 | 14 | |
| 15 | 63 | |
| 16 | 26 | |
| 17 | Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?breakdown → | 1050 |
| 18 | 6 | |
| 19 | Regulating AdWords: Consumer Protection in a Market Where the Commodity Is Speech | 0 |
| 20 | Polar plotting of seasonal hydrologic and climatic data | 5 |
About Alex J. Cannon
Alex J. Cannon is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 152 papers that have together received 7.5k indexed citations. Recurring topics across this work include Climate variability and models (101 papers), Meteorological Phenomena and Simulations (48 papers) and Hydrology and Watershed Management Studies (37 papers). The work is most often cited by research in Global and Planetary Change (5.0k citations), Atmospheric Science (3.2k citations) and Water Science and Technology (2.4k citations). Alex J. Cannon has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Trevor Q. Murdock, S. R. Sobie, Paul H. Whitfield, William W. Hsieh, Francis W. Zwiers, A. T. Werner, Aranildo R. Lima, Kabir Rasouli, Megan C. Kirchmeier‐Young and Xuebin Zhang. Their work appears in journals such as Nature Communications, The Science of The Total Environment and Scientific Reports.
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.