Michael Anderson

1.8k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

Michael Anderson is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Michael Anderson has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 20 papers in Water Science and Technology. Recurrent topics in Michael Anderson's work include Climate variability and models (31 papers), Meteorological Phenomena and Simulations (20 papers) and Hydrology and Watershed Management Studies (20 papers). Michael Anderson is often cited by papers focused on Climate variability and models (31 papers), Meteorological Phenomena and Simulations (20 papers) and Hydrology and Watershed Management Studies (20 papers). Michael Anderson collaborates with scholars based in United States, Japan and Australia. Michael Anderson's co-authors include M. L. Kavvas, Michael D. Dettinger, F. Martin Ralph, Kei Ishida, David W. Reynolds, Jonathan J. Rutz, Jason M. Cordeira, L. Schick, N. Ohara and Arlen D. Feldman and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Water Resources Research.

In The Last Decade

Michael Anderson

42 papers receiving 1.1k citations

Hit Papers

A Scale to Characterize the Strength and Impacts of Atmos... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Anderson United States 17 877 708 394 97 68 44 1.1k
Alan M. Rhoades United States 21 1.0k 1.2× 1.0k 1.4× 377 1.0× 79 0.8× 51 0.8× 50 1.4k
Mohammed Ombadi United States 11 654 0.7× 670 0.9× 266 0.7× 215 2.2× 42 0.6× 20 1.0k
Jianhui Wei Germany 22 734 0.8× 449 0.6× 408 1.0× 138 1.4× 65 1.0× 51 908
Nathan Forsythe United Kingdom 15 452 0.5× 492 0.7× 338 0.9× 84 0.9× 39 0.6× 29 865
Yuting Fan China 11 473 0.5× 370 0.5× 301 0.8× 89 0.9× 47 0.7× 29 763
Marco Braun Canada 13 866 1.0× 511 0.7× 576 1.5× 110 1.1× 30 0.4× 22 1.1k
Marta Martínková Czechia 11 755 0.9× 376 0.5× 425 1.1× 81 0.8× 37 0.5× 15 996
Amin Dezfuli United States 19 860 1.0× 657 0.9× 117 0.3× 106 1.1× 115 1.7× 33 1.1k
Fengpeng Sun United States 17 842 1.0× 628 0.9× 169 0.4× 152 1.6× 167 2.5× 29 1.1k
Alexander Gelfan Russia 16 551 0.6× 525 0.7× 702 1.8× 145 1.5× 52 0.8× 57 1.1k

Countries citing papers authored by Michael Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Anderson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Anderson. A scholar is included among the top collaborators of Michael Anderson 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 Michael Anderson. Michael Anderson 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.
Gershunov, Alexander, Benjamin J. Hatchett, Michael D. Dettinger, et al.. (2025). Atmospheric Rivers and Floods in California’s Changing Hydroclimate. San Francisco Estuary and Watershed Science. 23(3).
2.
3.
Guirguis, Kristen, Benjamin J. Hatchett, Alexander Gershunov, et al.. (2024). Reinterpreting ENSO's Role in Modulating Impactful Precipitation Events in California. Geophysical Research Letters. 51(14). 2 indexed citations
5.
Castellano, Christopher, Michael J. DeFlorio, Peter B. Gibson, et al.. (2023). Development of a Statistical Subseasonal Forecast Tool to Predict California Atmospheric Rivers and Precipitation Based on MJO and QBO Activity. Journal of Geophysical Research Atmospheres. 128(6). 8 indexed citations
6.
Shulgina, Tamara, Alexander Gershunov, Benjamin J. Hatchett, et al.. (2023). Observed and projected changes in snow accumulation and snowline in California’s snowy mountains. Climate Dynamics. 61(9-10). 4809–4824. 18 indexed citations
7.
Cui, Guotao, Michael Anderson, & Roger C. Bales. (2023). Runoff response to the uncertainty from key water-budget variables in a seasonally snow-covered mountain basin. Journal of Hydrology Regional Studies. 50. 101601–101601. 3 indexed citations
8.
Peters‐Lidard, C. D., Kevin C. Rose, Julie E. Kiang, et al.. (2021). Indicators of climate change impacts on the water cycle and water management. Climatic Change. 165(1-2). 17 indexed citations
9.
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
10.
He, Minxue, et al.. (2020). Technical note: Precipitation-phase partitioning at landscape scales to regional scales. Hydrology and earth system sciences. 24(11). 5317–5328. 33 indexed citations
11.
Ishida, Kei, N. Ohara, Ali Ercan, et al.. (2019). Impacts of climate change on snow accumulation and melting processes over mountainous regions in Northern California during the 21st century. The Science of The Total Environment. 685. 104–115. 17 indexed citations
12.
Haleem, Kirolos, et al.. (2018). Comparing the Crash Injury Severity Risk Factors at High-Volume and Low-Volume Intersections with Different Traffic Control in Alabama. 8(4). 173–188. 1 indexed citations
13.
Ishida, Kei, et al.. (2018). Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed. The Science of The Total Environment. 626. 244–254. 51 indexed citations
14.
Ishida, Kei, Ali Ercan, Toan Trinh, et al.. (2018). Analysis of future climate change impacts on snow distribution over mountainous watersheds in Northern California by means of a physically-based snow distribution model. The Science of The Total Environment. 645. 1065–1082. 12 indexed citations
15.
Haleem, Kirolos, et al.. (2018). Comparison of Crash Severity Risk Factors at Signalized and Stop-Controlled Intersections in Urban and Rural Areas in Alabama. International Journal of Statistics and Probability. 7(5). 50–50. 2 indexed citations
16.
Anderson, Michael, et al.. (2017). Analysis of Not At-Fault Truck Crashes in Alabama. International Journal for Traffic and Transport Engineering. 6(2). 28–35. 2 indexed citations
18.
Kavvas, M. L., Kei Ishida, Toan Trinh, et al.. (2017). A Performance Evaluation of Dynamical Downscaling of Precipitation over Northern California. Sustainability. 9(8). 1457–1457. 14 indexed citations
19.
Dettinger, Michael D., Jamie Anderson, Michael Anderson, et al.. (2016). Climate Change and the Delta. San Francisco Estuary and Watershed Science. 14(3). 56 indexed citations
20.
Anderson, Michael, et al.. (2002). Coupling HEC-HMS with Atmospheric Models for Prediction of Watershed Runoff. Journal of Hydrologic Engineering. 7(4). 312–318. 130 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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