Talea Mayo

664 total citations
21 papers, 445 citations indexed

About

Talea Mayo is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Talea Mayo has authored 21 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Talea Mayo's work include Tropical and Extratropical Cyclones Research (12 papers), Meteorological Phenomena and Simulations (10 papers) and Climate variability and models (6 papers). Talea Mayo is often cited by papers focused on Tropical and Extratropical Cyclones Research (12 papers), Meteorological Phenomena and Simulations (10 papers) and Climate variability and models (6 papers). Talea Mayo collaborates with scholars based in United States, Saudi Arabia and France. Talea Mayo's co-authors include Ibrahim Hoteit, Clint Dawson, Ning Lin, Cigdem Özkan, Troy Butler, E. D. Gutmann, M. U. Altaf, Xiaodong Luo, Dingbao Wang and Arvind Singh and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Water Resources Research.

In The Last Decade

Talea Mayo

21 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Talea Mayo United States 14 204 170 144 72 49 21 445
Haihong Wang China 15 71 0.3× 120 0.7× 212 1.5× 24 0.3× 25 0.5× 67 748
Peter Hawkes United Kingdom 13 348 1.7× 348 2.0× 309 2.1× 250 3.5× 53 1.1× 40 723
Gregory G. Garner United States 12 114 0.6× 199 1.2× 72 0.5× 46 0.6× 25 0.5× 19 382
Shuyi Zhou China 11 105 0.5× 86 0.5× 173 1.2× 14 0.2× 30 0.6× 26 397
Ruben Jongejan Netherlands 14 148 0.7× 158 0.9× 96 0.7× 211 2.9× 29 0.6× 36 493
Maya K. Buchanan United States 11 336 1.6× 406 2.4× 117 0.8× 169 2.3× 18 0.4× 14 640
Nathan J. M. Laxague United States 15 297 1.5× 175 1.0× 568 3.9× 157 2.2× 72 1.5× 32 864
Hesam Ahmady‐Birgani Iran 10 156 0.8× 105 0.6× 51 0.4× 129 1.8× 13 0.3× 23 390
Ferdinand Diermanse Netherlands 11 179 0.9× 398 2.3× 40 0.3× 88 1.2× 35 0.7× 43 539
Dazhi Xi United States 10 357 1.8× 323 1.9× 76 0.5× 62 0.9× 8 0.2× 22 465

Countries citing papers authored by Talea Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Talea Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Talea Mayo. 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 Talea Mayo. The network helps show where Talea Mayo may publish in the future.

Co-authorship network of co-authors of Talea Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Talea Mayo. A scholar is included among the top collaborators of Talea Mayo 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 Talea Mayo. Talea Mayo 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.
Bader, Daniel, Naresh Devineni, Philip Orton, et al.. (2024). NPCC4: New York City climate risk information 2022—observations and projections. Annals of the New York Academy of Sciences. 1539(1). 13–48. 10 indexed citations
2.
Ortiz, Luis, Radley M. Horton, Daniel Bader, et al.. (2024). NPCC4: Tail risk, climate drivers of extreme heat, and new methods for extreme event projections. Annals of the New York Academy of Sciences. 1539(1). 49–76. 8 indexed citations
3.
Finn, Donovan, Kyle T. Mandli, Anamaria Bukvic, et al.. (2022). Moving from interdisciplinary to convergent research across geoscience and social sciences: challenges and strategies. Environmental Research Letters. 17(6). 61002–61002. 7 indexed citations
4.
Mayo, Talea & Ning Lin. (2022). Climate change impacts to the coastal flood hazard in the northeastern United States. Weather and Climate Extremes. 36. 100453–100453. 28 indexed citations
5.
Özkan, Cigdem, Talea Mayo, & Davina L. Passeri. (2022). The Potential of Wave Energy Conversion to Mitigate Coastal Erosion from Hurricanes. Journal of Marine Science and Engineering. 10(2). 143–143. 6 indexed citations
6.
Bukvic, Anamaria, Kyle T. Mandli, Donovan Finn, et al.. (2022). Advancing Interdisciplinary and Convergent Science for Communities: Lessons Learned through the NCAR Early-Career Faculty Innovator Program. Bulletin of the American Meteorological Society. 103(11). E2513–E2532. 2 indexed citations
8.
Fulweiler, Robinson W., Sarah W. Davies, Jennifer F. Biddle, et al.. (2021). Rebuild the Academy: Supporting academic mothers during COVID-19 and beyond. PLoS Biology. 19(3). e3001100–e3001100. 51 indexed citations
9.
Özkan, Cigdem, et al.. (2020). The impacts of wave energy conversion on coastal morphodynamics. The Science of The Total Environment. 712. 136424–136424. 19 indexed citations
10.
Mayo, Talea, et al.. (2020). Projected Climate Change Impacts on Hurricane Storm Surge Inundation in the Coastal United States. Frontiers in Built Environment. 6. 45 indexed citations
11.
Özkan, Cigdem & Talea Mayo. (2019). The renewable wave energy resource in coastal regions of the Florida peninsula. Renewable Energy. 139. 530–537. 34 indexed citations
12.
Mayo, Talea & Ning Lin. (2019). The Effect of the Surface Wind Field Representation in the Operational Storm Surge Model of the National Hurricane Center. Atmosphere. 10(4). 193–193. 24 indexed citations
13.
Mayo, Talea. (2019). Predicting the 100-year Flood to Improve Hurricane Storm Surge Resilience. Notices of the American Mathematical Society. 66(2). 176–176. 1 indexed citations
14.
Singh, Arvind, et al.. (2018). Fate and transport of radioactive gypsum stack water entering the Floridan aquifer due to a sinkhole collapse. Scientific Reports. 8(1). 11439–11439. 13 indexed citations
15.
Mayo, Talea, et al.. (2018). Ensemble Kalman filter inference of spatially-varying Manning’s n coefficients in the coastal ocean. Journal of Hydrology. 562. 664–684. 15 indexed citations
16.
Mayo, Talea, Ihab Sraj, Omar Knio, et al.. (2017). Assessing an ensemble Kalman filter inference of Manning’s n coefficient of an idealized tidal inlet against a polynomial chaos-based MCMC. Ocean Dynamics. 67(8). 1067–1094. 13 indexed citations
17.
Altaf, M. U., Troy Butler, Talea Mayo, et al.. (2014). A Comparison of Ensemble Kalman Filters for Storm Surge Assimilation. Monthly Weather Review. 142(8). 2899–2914. 19 indexed citations
18.
Mayo, Talea, Troy Butler, Clint Dawson, & Ibrahim Hoteit. (2014). Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient. Ocean Modelling. 76. 43–58. 58 indexed citations
19.
Altaf, M. U., Troy Butler, Xiaodong Luo, et al.. (2013). Improving Short-Range Ensemble Kalman Storm Surge Forecasting Using Robust Adaptive Inflation. Monthly Weather Review. 141(8). 2705–2720. 19 indexed citations
20.
Butler, Troy, M. U. Altaf, Clint Dawson, et al.. (2012). Data Assimilation within the Advanced Circulation (ADCIRC) Modeling Framework for Hurricane Storm Surge Forecasting. Monthly Weather Review. 140(7). 2215–2231. 30 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.

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