Anna M. Wilson

1.8k total citations
49 papers, 773 citations indexed

About

Anna M. Wilson is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Anna M. Wilson has authored 49 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 29 papers in Global and Planetary Change and 11 papers in Water Science and Technology. Recurrent topics in Anna M. Wilson's work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (20 papers) and Precipitation Measurement and Analysis (12 papers). Anna M. Wilson is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Climate variability and models (20 papers) and Precipitation Measurement and Analysis (12 papers). Anna M. Wilson collaborates with scholars based in United States, United Kingdom and Portugal. Anna M. Wilson's co-authors include Ana P. Barros, F. Martin Ralph, Meredith A. Fish, Forest Cannon, Brian Kawzenuk, Michael D. Dettinger, Dennis P. Lettenmaier, Jonathan J. Rutz, Kathleen A. Miller and J. A. Vano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Anna M. Wilson

44 papers receiving 760 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna M. Wilson United States 16 597 554 119 111 44 49 773
Linyong Wei China 15 329 0.6× 443 0.8× 161 1.4× 113 1.0× 53 1.2× 22 607
Zhu La China 12 499 0.8× 288 0.5× 145 1.2× 227 2.0× 71 1.6× 21 668
F. C. Bosveld Netherlands 7 420 0.7× 389 0.7× 44 0.4× 137 1.2× 32 0.7× 15 559
Guillermo J. Berri Argentina 12 356 0.6× 394 0.7× 64 0.5× 123 1.1× 39 0.9× 25 545
Lazhu China 12 603 1.0× 312 0.6× 105 0.9× 284 2.6× 98 2.2× 21 744
Olivier Nuissier France 18 1.0k 1.7× 1.1k 2.0× 144 1.2× 105 0.9× 101 2.3× 31 1.2k
Subimal Ghosh India 10 283 0.5× 477 0.9× 114 1.0× 82 0.7× 58 1.3× 23 557
F. Bouyssel France 10 445 0.7× 284 0.5× 74 0.6× 347 3.1× 108 2.5× 19 613
Forest Cannon United States 19 966 1.6× 878 1.6× 103 0.9× 55 0.5× 74 1.7× 43 1.2k
Akhilesh S. Nair India 12 156 0.3× 211 0.4× 167 1.4× 178 1.6× 60 1.4× 24 385

Countries citing papers authored by Anna M. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Wilson. 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 Anna M. Wilson. The network helps show where Anna M. Wilson may publish in the future.

Co-authorship network of co-authors of Anna M. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Wilson. A scholar is included among the top collaborators of Anna M. Wilson 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 Anna M. Wilson. Anna M. Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hordyniec, Paweł, et al.. (2025). Forward Modeling of Bending Angles With a Two‐Dimensional Operator for GNSS Airborne Radio Occultations in Atmospheric Rivers. Journal of Advances in Modeling Earth Systems. 17(4). 1 indexed citations
2.
Haase, Jennifer S., et al.. (2025). Observing atmospheric rivers using multi-GNSS airborne radio occultation: system description and data evaluation. Atmospheric measurement techniques. 18(14). 3361–3392.
3.
Martens, Hilary R., Donald F. Argus, Qian Cao, et al.. (2024). GNSS Geodesy Quantifies Water‐Storage Gains and Drought Improvements in California Spurred by Atmospheric Rivers. Geophysical Research Letters. 51(13). 6 indexed citations
4.
Jézéquel, Aglaé, Ana Bastos, Davide Faranda, et al.. (2024). Broadening the scope of anthropogenic influence in extreme event attribution. SHILAP Revista de lepidopterología. 3(4). 42003–42003. 5 indexed citations
5.
Zheng, Minghua, Ryan D. Torn, Luca Delle Monache, et al.. (2024). An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance. Monthly Weather Review. 152(3). 811–835. 4 indexed citations
6.
Cobb, Alison, Jason M. Cordeira, Michael D. Dettinger, et al.. (2023). A Multidisciplinary Training Opportunity for the Next Generation of Forecast-Informed Reservoir Operations (FIRO) Collaborators. Bulletin of the American Meteorological Society. 104(8). E1372–E1381. 2 indexed citations
7.
Lavers, David A., Anna M. Wilson, F. Martin Ralph, et al.. (2023). Advancing Atmospheric River Science and Inspiring Future Development of the Atmospheric River Reconnaissance Program. Bulletin of the American Meteorological Society. 105(1). E75–E83. 7 indexed citations
8.
Dettinger, Michael D., et al.. (2023). Keeping Water in Climate-Changed Headwaters Longer. San Francisco Estuary and Watershed Science. 21(4). 1 indexed citations
9.
Ramos, Alexandre M., Rémy Roca, Pedro M. M. Soares, et al.. (2021). Uncertainty in different precipitation products in the case of two atmospheric river events. Environmental Research Letters. 16(4). 45012–45012. 8 indexed citations
10.
Roy, Richard, Ken B. Cooper, Matthew Lebsock, et al.. (2021). First Airborne Measurements With a G-Band Differential Absorption Radar. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 10 indexed citations
11.
Hatchett, Benjamin J., Qian Cao, Phillip Dawson, et al.. (2020). Observations of an Extreme Atmospheric River Storm With a Diverse Sensor Network. Earth and Space Science. 7(8). 32 indexed citations
12.
Ogle, Stephen M., et al.. (2018). Atmospheric River Families and their Relationship to Landslides in Washington State. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
13.
Cannon, Forest, et al.. (2018). An Ensemble-Based Evaluation of WRF Precipitation Forecast Uncertainty in California Watersheds. AGU Fall Meeting Abstracts. 2018.
14.
Nolin, A. W., Eric A. Sproles, Ryan Crumley, et al.. (2017). Cloud-based Computing and Applications of New Snow Metrics for Societal Benefit. AGUFM. 2017. 4 indexed citations
15.
Wilson, Anna M.. (2017). Orographic Land-Atmosphere Interactions and the Diurnal Cycle of Low Level Clouds and Fog. 1 indexed citations
16.
Wilson, Anna M., et al.. (2015). Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014. Hydrology and earth system sciences. 19(3). 1501–1520. 49 indexed citations
17.
Barros, Ana P., Walter A. Petersen, Theresa Lang, et al.. (2014). IPHEx 2014: Observations of Orographic Precipitation Processes in the Southern Appalachians. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
18.
Williams, Christopher R., V. N. Bringi, Lawrence D. Carey, et al.. (2014). Describing the Shape of Raindrop Size Distributions Using Uncorrelated Raindrop Mass Spectrum Parameters. Journal of Applied Meteorology and Climatology. 53(5). 1282–1296. 81 indexed citations
19.
Squires, Michael F., J. H. Lawrimore, Richard R. Heim, et al.. (2009). Development of New Snowstorm Indices and Databases at the National Climatic Data Center. AGU Fall Meeting Abstracts. 2009.
20.
Cloude, S.R., et al.. (2002). The Glen Affric Project: forrest mapping using dual baseline polarimetric radar interferometry. ESASP. 475. 333–338. 6 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Linyong Wei Breakdown of academic impact, for papers by Zhu La Breakdown of academic impact, for papers by F. C. Bosveld Breakdown of academic impact, for papers by Guillermo J. Berri Breakdown of academic impact, for papers by Lazhu Breakdown of academic impact, for papers by Olivier Nuissier Breakdown of academic impact, for papers by Subimal Ghosh Breakdown of academic impact, for papers by F. Bouyssel Breakdown of academic impact, for papers by Forest Cannon Breakdown of academic impact, for papers by Akhilesh S. Nair
Rankless by CCL
2026