Mark S. Wigmosta

6.1k total citations · 1 hit paper
96 papers, 4.0k citations indexed

About

Mark S. Wigmosta is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Mark S. Wigmosta has authored 96 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Water Science and Technology, 46 papers in Global and Planetary Change and 34 papers in Atmospheric Science. Recurrent topics in Mark S. Wigmosta's work include Hydrology and Watershed Management Studies (51 papers), Cryospheric studies and observations (26 papers) and Flood Risk Assessment and Management (23 papers). Mark S. Wigmosta is often cited by papers focused on Hydrology and Watershed Management Studies (51 papers), Cryospheric studies and observations (26 papers) and Flood Risk Assessment and Management (23 papers). Mark S. Wigmosta collaborates with scholars based in United States, China and Australia. Mark S. Wigmosta's co-authors include Dennis P. Lettenmaier, L.W. Vail, L. Ruby Leung, André M. Coleman, Richard L. Skaggs, Stephen J. Burges, Ning Sun, Erik R. Venteris, Michael H. Huesemann and Hong‐Yi Li and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Journal of Cleaner Production.

In The Last Decade

Mark S. Wigmosta

89 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A distributed hydrology‐vegetation model for complex terrain

1994 1.1k citations Mark S. Wigmosta et al. Water Resources Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark S. Wigmosta United States	32	2.1k	1.9k	1.2k	857	564	96	4.0k
Ingjerd Haddeland Norway	20	2.9k 1.4×	2.2k 1.2×	617 0.5×	113 0.1×	660 1.2×	36	4.3k
Denghua Yan China	37	1.8k 0.9×	2.7k 1.4×	1.2k 1.0×	76 0.1×	1.2k 2.1×	263	5.3k
Joshua L. Heitman United States	33	426 0.2×	1.2k 0.6×	761 0.6×	486 0.6×	1.0k 1.8×	172	3.8k
Shulin Chen United States	28	1.1k 0.5×	939 0.5×	207 0.2×	147 0.2×	363 0.6×	84	3.0k
Xiaoying Yang China	27	1.2k 0.6×	747 0.4×	359 0.3×	98 0.1×	562 1.0×	89	2.3k
Yiping Wu China	44	2.4k 1.1×	2.4k 1.2×	759 0.6×	61 0.1×	1.2k 2.1×	175	5.0k
Alberto Pistocchi Italy	28	1.1k 0.5×	645 0.3×	329 0.3×	114 0.1×	545 1.0×	102	2.8k
Z. D. Tessler United States	15	1.1k 0.5×	1.1k 0.6×	397 0.3×	104 0.1×	289 0.5×	18	2.6k
Nathalie Voisin United States	36	3.1k 1.5×	2.5k 1.3×	1.1k 0.9×	94 0.1×	672 1.2×	109	4.7k
Sujith Ravi United States	37	339 0.2×	1.8k 0.9×	806 0.7×	259 0.3×	1.2k 2.1×	77	5.0k

Countries citing papers authored by Mark S. Wigmosta

Since Specialization

Citations

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

Fields of papers citing papers by Mark S. Wigmosta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Wigmosta. 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 Mark S. Wigmosta. The network helps show where Mark S. Wigmosta may publish in the future.

Co-authorship network of co-authors of Mark S. Wigmosta

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

All Works

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20 of 20 papers shown

Boisramé, Gabrielle, et al.. (2025). Improving model calibrations in a changing world: controlling for nonstationarity after mega disturbance reduces hydrological uncertainty. Hydrology and earth system sciences. 29(22). 6333–6352.

Cooper, Matthew G., Ning Sun, Mark S. Wigmosta, et al.. (2025). Enhanced flood synchrony and downstream severity in the Delaware River under rising temperatures. Communications Earth & Environment. 6(1). 1 indexed citations

Yan, Hongxiang, Mark S. Wigmosta, Ning Sun, Song Gao, & Michael H. Huesemann. (2025). Enhancing Biomass Productivity by Forecast‐Informed Pond Operations. Biotechnology and Bioengineering. 122(5). 1245–1257.

Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2025). How Flood Hazards in a Warming Climate Could Be Amplified by Changes in Spatiotemporal Patterns and Mechanisms of Water Available for Runoff. Earth s Future. 13(3). 2 indexed citations

Sun, Ning, Mark S. Wigmosta, Hongxiang Yan, et al.. (2024). Amplified Extreme Floods and Shifting Flood Mechanisms in the Delaware River Basin in Future Climates. Earth s Future. 12(3). 8 indexed citations

Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2024). Observation-Based Evaluation of Flood Estimation Techniques for a Small Snow-Dominated Basin in the Washington Cascade Mountains. Journal of Hydrologic Engineering. 29(3). 1 indexed citations

Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2023). The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada. Water Resources Research. 59(10). 10 indexed citations

Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2023). Next-Generation Intensity-Duration-Frequency Curves for Diverse Land across the Continental United States. Scientific Data. 10(1). 863–863. 1 indexed citations

Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2022). Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States. Scientific Data. 9(1). 154–154. 13 indexed citations

10.

Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2022). Forest Canopy Density Effects on Snowpack Across the Climate Gradients of the Western United States Mountain Ranges. Water Resources Research. 58(1). 28 indexed citations

11.

Yan, Hongxiang, Mark S. Wigmosta, Michael H. Huesemann, Ning Sun, & Song Gao. (2022). An ensemble data assimilation modeling system for operational outdoor microalgae growth forecasting. Biotechnology and Bioengineering. 120(2). 426–443. 3 indexed citations

12.

Yan, Hongxiang, Mark S. Wigmosta, Ning Sun, Michael H. Huesemann, & Song Gao. (2021). Real‐time ensemble microalgae growth forecasting with data assimilation. Biotechnology and Bioengineering. 118(3). 1419–1424. 5 indexed citations

13.

Ou, Longwen, Sudhanya Banerjee, Xu Hui, et al.. (2021). Utilizing high-purity carbon dioxide sources for algae cultivation and biofuel production in the United States: Opportunities and challenges. Journal of Cleaner Production. 321. 128779–128779. 41 indexed citations

14.

Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2019). Next-Generation Intensity–Duration–Frequency Curves to Reduce Errors in Peak Flood Design. Journal of Hydrologic Engineering. 24(7). 24 indexed citations

15.

Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2019). Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States. Journal of Geophysical Research Atmospheres. 124(10). 5296–5313. 61 indexed citations

16.

Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2019). Evaluating next‐generation intensity–duration–frequency curves for design flood estimates in the snow‐dominated western United States. Hydrological Processes. 34(5). 1255–1268. 20 indexed citations

17.

Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2019). Observed Spatiotemporal Changes in the Mechanisms of Extreme Water Available for Runoff in the Western United States. Geophysical Research Letters. 46(2). 767–775. 34 indexed citations

18.

Cristea, Nicoleta, et al.. (2018). Importance of model structure and irradiance input to modeling snow surface temperature and snowmelt in complex terrain. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

19.

Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2018). Next‐Generation Intensity‐Duration‐Frequency Curves for Hydrologic Design in Snow‐Dominated Environments. Water Resources Research. 54(2). 1093–1108. 75 indexed citations

20.

Voisin, Nathalie, et al.. (2013). On an improved sub-regional water resources management representation for integration into earth system models. Hydrology and earth system sciences. 17(9). 3605–3622. 114 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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