A. W. Nolin

5.9k total citations
96 papers, 3.8k citations indexed

About

A. W. Nolin is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, A. W. Nolin has authored 96 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 16 papers in Water Science and Technology. Recurrent topics in A. W. Nolin's work include Cryospheric studies and observations (78 papers), Climate change and permafrost (39 papers) and Climate variability and models (16 papers). A. W. Nolin is often cited by papers focused on Cryospheric studies and observations (78 papers), Climate change and permafrost (39 papers) and Climate variability and models (16 papers). A. W. Nolin collaborates with scholars based in United States, Switzerland and Canada. A. W. Nolin's co-authors include Jeff Dozier, Julienne Strœve, Christopher Daly, Travis R. Roth, Patrick Burns, Crystal Schaaf, Shunlin Liang, Kelly E. Gleason, T. H. Painter and Sarah L. Lewis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

A. W. Nolin

94 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. W. Nolin United States 36 2.7k 1.7k 704 700 599 96 3.8k
George A. Riggs United States 24 4.1k 1.5× 1.4k 0.8× 583 0.8× 652 0.9× 797 1.3× 61 4.8k
J. S. Deems United States 25 2.3k 0.9× 1.3k 0.8× 311 0.4× 983 1.4× 692 1.2× 57 3.2k
Tao Che China 36 3.4k 1.3× 1.8k 1.1× 675 1.0× 780 1.1× 1.3k 2.1× 193 4.9k
Simon Gascoin France 35 2.7k 1.0× 1.2k 0.7× 345 0.5× 965 1.4× 596 1.0× 156 3.7k
Chris Derksen Canada 47 6.9k 2.5× 2.0k 1.2× 462 0.7× 767 1.1× 1.6k 2.7× 205 7.7k
Michael Zemp Switzerland 27 3.4k 1.3× 751 0.5× 417 0.6× 339 0.5× 279 0.5× 65 4.1k
Antoine Rabatel France 38 3.3k 1.2× 834 0.5× 413 0.6× 469 0.7× 161 0.3× 131 4.0k
N. P. Molotch United States 50 5.6k 2.1× 3.6k 2.2× 566 0.8× 2.9k 4.1× 773 1.3× 125 7.2k
Dambaru Ballab Kattel China 13 2.5k 0.9× 1.2k 0.7× 255 0.4× 378 0.5× 172 0.3× 19 3.0k
Christoph Marty Switzerland 29 2.3k 0.8× 1.1k 0.7× 137 0.2× 520 0.7× 188 0.3× 81 2.7k

Countries citing papers authored by A. W. Nolin

Since Specialization
Citations

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

Fields of papers citing papers by A. W. Nolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. W. Nolin. 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 A. W. Nolin. The network helps show where A. W. Nolin may publish in the future.

Co-authorship network of co-authors of A. W. Nolin

This figure shows the co-authorship network connecting the top 25 collaborators of A. W. Nolin. A scholar is included among the top collaborators of A. W. Nolin 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 A. W. Nolin. A. W. Nolin 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.
Rittger, Karl, et al.. (2025). Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals. SHILAP Revista de lepidopterología. 5. 1 indexed citations
2.
Yu, Guo, Keith S. Jennings, Benjamin J. Hatchett, et al.. (2024). Crowdsourced Data Reveal Shortcomings in Precipitation Phase Products for Rain and Snow Partitioning. Geophysical Research Letters. 51(24). 3 indexed citations
3.
Webb, Ryan, et al.. (2023). Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR). ˜The œcryosphere. 17(5). 1997–2019. 17 indexed citations
4.
Hatchett, Benjamin J., Kristen Guirguis, Karl Rittger, et al.. (2023). Midwinter Dry Spells Amplify Post‐Fire Snowpack Decline. Geophysical Research Letters. 50(3). 16 indexed citations
5.
Arienzo, Monica M., et al.. (2023). Effective Engagement While Scaling Up: Lessons from a Citizen Science Program Transitioning from Single- to Multi-Region Scale. Citizen Science Theory and Practice. 8(1). 3 indexed citations
6.
Nolin, A. W., et al.. (2020). Widespread warming trends in storm temperatures and snowpack fate across the Western United States. Environmental Research Letters. 15(3). 34059–34059. 15 indexed citations
7.
Thorn, Jessica, Julia A. Klein, Cara Steger, et al.. (2020). A systematic review of participatory scenario planning to envision mountain social-ecological systems futures. Ecology and Society. 25(3). 45 indexed citations
8.
Nolin, A. W., et al.. (2020). Estimating Arctic sea ice surface roughness by using back propagation neural network. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
9.
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
10.
Sproles, Eric A., Travis R. Roth, & A. W. Nolin. (2017). Future snow? A spatial-probabilistic assessment of the extraordinarily low snowpacks of 2014 and 2015 in the Oregon Cascades. ˜The œcryosphere. 11(1). 331–341. 22 indexed citations
11.
Gleason, Kelly E., A. W. Nolin, & Travis R. Roth. (2017). Developing a representative snow-monitoring network in a forested mountain watershed. Hydrology and earth system sciences. 21(2). 1137–1147. 20 indexed citations
12.
Conklin, David R., et al.. (2016). Assessing Mechanisms of Climate Change Impact on the Upland Forest Water Balance of the Willamette River Basin. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
13.
Safeeq, Mohammad, Gordon E. Grant, Sarah L. Lewis, et al.. (2014). Integrated snow and hydrology modeling for climate change impact assessment in Oregon Cascades. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
14.
Schwarz, Gregory E., John W. Brakebill, Anne B. Hoos, et al.. (2013). Seasonally-Dynamic SPARROW Modeling of Nitrogen Flux Using Earth Observation Data. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Nolin, A. W., et al.. (2011). Variations in Snow Cover Frequency over the Contiguous US: Implications for Green Biomass and Water Stress. AGUFM. 2011. 1 indexed citations
16.
Nolin, A. W., et al.. (2009). It’s a Rough Place: Satellite Mapping of the Greenland Ice Sheet From MISR. AGUFM. 2009.
17.
Nolin, A. W. & D. Selkowitz. (2004). Multi-angle/Multi-spectral Mapping of Snow Covered Area and Vegetation Density Using MISR. AGUFM. 2004. 1 indexed citations
18.
Nolin, A. W., Bruce Raup, T. A. Scambos, & Julienne Strœve. (2001). Mapping Snow Grain Size and Albedo on the Greenland Ice Sheet Using an Imaging Spectrometer. AGU Fall Meeting Abstracts. 2001. 2 indexed citations
19.
Nolin, A. W. & Julienne Strœve. (1997). The changing albedo of the Greenland ice sheet: implications for climate modeling. Annals of Glaciology. 25. 51–57. 46 indexed citations
20.
Nolin, A. W., Jeff Dozier, & Leal A. K. Mertes. (1993). Mapping alpine snow using a spectral mixture modeling technique. Annals of Glaciology. 17. 121–124. 59 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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