Mark D. Risser

1.9k total citations · 1 hit paper
49 papers, 1.2k citations indexed

About

Mark D. Risser is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Mark D. Risser has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 31 papers in Atmospheric Science and 7 papers in Water Science and Technology. Recurrent topics in Mark D. Risser's work include Climate variability and models (34 papers), Meteorological Phenomena and Simulations (22 papers) and Hydrology and Drought Analysis (10 papers). Mark D. Risser is often cited by papers focused on Climate variability and models (34 papers), Meteorological Phenomena and Simulations (22 papers) and Hydrology and Drought Analysis (10 papers). Mark D. Risser collaborates with scholars based in United States, Australia and India. Mark D. Risser's co-authors include Michael Wehner, Alan M. Rhoades, Mohammed Ombadi, William D. Collins, Charuleka Varadharajan, Travis O’Brien, Dáithí A. Stone, Paul Ullrich, Christina M. Patricola and Daniel Feldman and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mark D. Risser

47 papers receiving 1.1k citations

Hit Papers

A warming-induced reduction in snow fraction amplifies ra... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Risser United States 19 771 650 142 73 66 49 1.2k
Megan C. Kirchmeier‐Young Canada 12 874 1.1× 568 0.9× 90 0.6× 69 0.9× 71 1.1× 25 1.1k
Edoardo Vignotto Switzerland 6 845 1.1× 470 0.7× 116 0.8× 64 0.9× 61 0.9× 9 1.1k
Kathleen D. White United States 14 629 0.8× 465 0.7× 215 1.5× 92 1.3× 116 1.8× 49 1.1k
I. Simpson United Kingdom 7 679 0.9× 566 0.9× 59 0.4× 78 1.1× 95 1.4× 9 956
Jessica Keune Belgium 20 857 1.1× 507 0.8× 316 2.2× 240 3.3× 87 1.3× 38 1.3k
Fraser C. Lott United Kingdom 21 1.1k 1.4× 787 1.2× 108 0.8× 91 1.2× 81 1.2× 57 1.4k
Ana Cristina Costa Portugal 17 654 0.8× 370 0.6× 180 1.3× 168 2.3× 31 0.5× 55 1.1k
Julie Arrighi Netherlands 11 926 1.2× 540 0.8× 84 0.6× 90 1.2× 68 1.0× 18 1.3k
Neil Massey United Kingdom 14 785 1.0× 569 0.9× 112 0.8× 46 0.6× 45 0.7× 24 976
Do‐Woo Kim South Korea 18 663 0.9× 331 0.5× 123 0.9× 135 1.8× 103 1.6× 64 930

Countries citing papers authored by Mark D. Risser

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Risser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark D. Risser

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Risser. A scholar is included among the top collaborators of Mark D. Risser 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 D. Risser. Mark D. Risser 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.
Risser, Mark D., et al.. (2025). Data-driven upper bounds and event attribution for unprecedented heatwaves. Weather and Climate Extremes. 47. 100743–100743. 3 indexed citations
2.
Risser, Mark D., Mohammed Ombadi, & Michael Wehner. (2025). Granger causal inference for climate change attribution. Environmental Research Climate. 4(2). 22001–22001. 3 indexed citations
3.
Risser, Mark D., et al.. (2024). Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave. Journal of Agricultural Biological and Environmental Statistics. 31(1). 24–45. 6 indexed citations
4.
Wehner, Michael, et al.. (2024). On the uncertainty of long-period return values of extreme daily precipitation. Frontiers in Climate. 6. 5 indexed citations
5.
Noack, Marcus M., et al.. (2024). A unifying perspective on non-stationary kernels for deeper Gaussian processes. SHILAP Revista de lepidopterología. 2(1). 7 indexed citations
6.
Ullrich, Paul, et al.. (2024). Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains. Water Resources Research. 60(4). 3 indexed citations
7.
Noack, Marcus M., Harinarayan Krishnan, Mark D. Risser, & Kristofer G. Reyes. (2023). Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels. Scientific Reports. 13(1). 3155–3155. 11 indexed citations
8.
Vishnu, S., Mark D. Risser, Travis O’Brien, Paul Ullrich, & William R. Boos. (2023). Observed increase in the peak rain rates of monsoon depressions. npj Climate and Atmospheric Science. 6(1). 7 indexed citations
9.
Rhoades, Alan M., Benjamin J. Hatchett, Mark D. Risser, et al.. (2022). Asymmetric emergence of low-to-no snow in the midlatitudes of the American Cordillera. Nature Climate Change. 12(12). 1151–1159. 30 indexed citations
10.
O’Brien, Travis, et al.. (2022). Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave. Geophysical Research Letters. 49(23). 40 indexed citations
11.
Risser, Mark D., William D. Collins, Michael Wehner, et al.. (2022). A framework for detection and attribution of regional precipitation change: Application to the United States historical record. Climate Dynamics. 60(3-4). 705–741. 7 indexed citations
12.
Rhoades, Alan M., Mark D. Risser, Dáithí A. Stone, Michael Wehner, & Andrew D. Jones. (2021). Implications of warming on western United States landfalling atmospheric rivers and their flood damages. Weather and Climate Extremes. 32. 100326–100326. 36 indexed citations
13.
Risser, Mark D., Michael Wehner, John P. OʼBrien, et al.. (2021). Quantifying the influence of natural climate variability on in situ measurements of seasonal total and extreme daily precipitation. Climate Dynamics. 56(9-10). 3205–3230. 18 indexed citations
15.
O’Brien, Travis, Mark D. Risser, Burlen Loring, et al.. (2020). Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1. Geoscientific model development. 13(12). 6131–6148. 25 indexed citations
16.
Risser, Mark D. & Daniel Turek. (2019). Bayesian nonstationary Gaussian process modeling: the BayesNSGP package for R. arXiv (Cornell University). 1 indexed citations
17.
Feldman, Daniel, William D. Collins, Sébastien Biraud, et al.. (2018). Observationally derived rise in methane surface forcing mediated by water vapour trends. Nature Geoscience. 11(4). 238–243. 37 indexed citations
18.
Dayton, Elizabeth A., Christopher Holloman, Sakthi Kumaran Subburayalu, & Mark D. Risser. (2017). Using Crop Management Scenario Simulations to Evaluate the Sensitivity of the Ohio Phosphorus Risk Index. Journal of Environmental Protection. 8(2). 141–158. 2 indexed citations
19.
Tanner‐Smith, Emily E. & Mark D. Risser. (2016). A meta-analysis of brief alcohol interventions for adolescents and young adults: variability in effects across alcohol measures. The American Journal of Drug and Alcohol Abuse. 42(2). 140–151. 32 indexed citations
20.
Risser, Mark D.. (2015). Spatially-Varying Covariance Functions for Nonstationary Spatial Process Modeling. OhioLink ETD Center (Ohio Library and Information Network). 2 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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