G. J. Wolken

1.2k total citations
34 papers, 654 citations indexed

About

G. J. Wolken is a scholar working on Atmospheric Science, Management, Monitoring, Policy and Law and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G. J. Wolken has authored 34 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 11 papers in Management, Monitoring, Policy and Law and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G. J. Wolken's work include Cryospheric studies and observations (26 papers), Climate change and permafrost (18 papers) and Landslides and related hazards (11 papers). G. J. Wolken is often cited by papers focused on Cryospheric studies and observations (26 papers), Climate change and permafrost (18 papers) and Landslides and related hazards (11 papers). G. J. Wolken collaborates with scholars based in United States, Canada and Germany. G. J. Wolken's co-authors include Martin Sharp, David Burgess, J. Graham Cogley, Claude Labine, Bert Wouters, Geir Moholdt, Alex Gardner, Carsten Braun, A. A. Arendt and John England and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

G. J. Wolken

32 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. J. Wolken United States	12	578	139	93	79	48	34	654
V. W. Chu United States	12	676 1.2×	153 1.1×	236 2.5×	84 1.1×	50 1.0×	21	746
G. A. Nosenko Russia	13	861 1.5×	150 1.1×	159 1.7×	84 1.1×	20 0.4×	40	929
Weijia Bao China	10	742 1.3×	88 0.6×	94 1.0×	110 1.4×	40 0.8×	10	803
Johannes Landmann Switzerland	7	737 1.3×	146 1.1×	167 1.8×	103 1.3×	26 0.5×	11	779
Takanobu Sawagaki Japan	13	623 1.1×	206 1.5×	182 2.0×	69 0.9×	16 0.3×	45	670
Justin Rich United States	3	982 1.7×	139 1.0×	195 2.1×	135 1.7×	63 1.3×	5	1.1k
Mariusz Grabiec Poland	18	655 1.1×	177 1.3×	145 1.6×	43 0.5×	21 0.4×	38	713
Thomas Slater United Kingdom	9	472 0.8×	89 0.6×	207 2.2×	107 1.4×	73 1.5×	16	568
Sarah Shannon United Kingdom	11	794 1.4×	182 1.3×	196 2.1×	202 2.6×	46 1.0×	15	869
F. Rémy France	8	692 1.2×	158 1.1×	161 1.7×	53 0.7×	48 1.0×	11	764

Countries citing papers authored by G. J. Wolken

Since Specialization

Citations

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

Fields of papers citing papers by G. J. Wolken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. J. Wolken. 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 G. J. Wolken. The network helps show where G. J. Wolken may publish in the future.

Co-authorship network of co-authors of G. J. Wolken

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Wolken. A scholar is included among the top collaborators of G. J. Wolken 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 G. J. Wolken. G. J. Wolken 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

Karasözen, Ezgi, M. E. West, Katherine R. Barnhart, et al.. (2025). 2024 Surprise Inlet Landslides: Insights From a Prototype Landslide‐Triggered Tsunami Monitoring System in Prince William Sound, Alaska. Geophysical Research Letters. 52(13).

White, Kevin S., et al.. (2024). Snow avalanches are a primary climate-linked driver of mountain ungulate populations. Communications Biology. 7(1). 423–423. 3 indexed citations

Dufresne, Anja, et al.. (2023). Back-analysis of the paraglacial slope failure at Grewingk Glacier and Lake, Alaska. Landslides. 21(4). 775–789. 5 indexed citations

Peitzsch, Erich, et al.. (2023). Tree‐Ring Derived Avalanche Frequency and Climate Associations in a High‐Latitude, Maritime Climate. Journal of Geophysical Research Earth Surface. 128(8). 2 indexed citations

Schaefer, Lauren N., Jeffrey A. Coe, Brian D. Collins, et al.. (2023). Kinematic Evolution of a Large Paraglacial Landslide in the Barry Arm Fjord of Alaska. Journal of Geophysical Research Earth Surface. 128(11). 8 indexed citations

Crumley, Ryan, et al.. (2021). Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations. Hydrology and earth system sciences. 25(9). 4651–4680. 11 indexed citations

Bliss, Andrew, Regine Hock, G. J. Wolken, et al.. (2020). Glaciers and climate of the Upper Susitna basin, Alaska. Earth system science data. 12(1). 403–427. 1 indexed citations

Hill, D. F., et al.. (2019). Converting snow depth to snow water equivalent using climatological variables. The cryosphere. 13(7). 1767–1784. 52 indexed citations

Wolken, G. J., et al.. (2018). Community Snow Observations (CSO): A Citizen Science Campaign to Validate Snow Remote Sensing Products and Hydrological Models. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

10.

Crumley, Ryan, et al.. (2017). Improving Snow Modeling by Assimilating Observational Data Collected by Citizen Scientists. AGU Fall Meeting Abstracts. 2017. 2 indexed citations

11.

Wolken, G. J., et al.. (2017). Evaluating controls on snow distribution in the eastern Chugach Mountains, Alaska. AGUFM. 2017. 1 indexed citations

12.

Sharp, Martin, G. J. Wolken, David Burgess, et al.. (2014). [The Arctic] Glaciers and ice caps (outside Greenland) [in “State of the Climate in 2013”]. Bulletin of the American Meteorological Society. 95(7). 2 indexed citations

13.

Wolken, G. J., et al.. (2013). [The Arctic] Glaciers and ice caps (outside Greenland) [in “State of the Climate in 2012”]. Bulletin of the American Meteorological Society. 93(7). 3 indexed citations

14.

McGrath, Daniel, A. Gusmeroli, S. O’Neel, et al.. (2013). Comparison of annual accumulation rates derived from in situ and ground penetrating radar methods across Alaskan glaciers. AGUFM. 2013. 1 indexed citations

15.

Wolken, G. J., et al.. (2013). Glaciers and ice caps (outside Greenland). Data Archiving and Networked Services (DANS). 2 indexed citations

16.

Wolken, G. J., Martin Sharp, Chris Derksen, et al.. (2011). Integrated Pan-Arctic Melt Onset Detection From Satellite Active/Passive Microwave Measurements, 2000-2009. AGU Fall Meeting Abstracts. 2011. 3 indexed citations

17.

Wolken, G. J., et al.. (2011). Estimating Rates of Sedimentation using LiDAR, GPS, and Historic Aerial Imagery. AGUFM. 2011. 1 indexed citations

18.

Gardner, Alex, Geir Moholdt, Bert Wouters, et al.. (2011). Sharply increased mass loss from glaciers and ice caps in the Canadian Arctic Archipelago. Nature. 473(7347). 357–360. 251 indexed citations

19.

Wolken, G. J., John England, & Arthur S. Dyke. (2010). Re-evaluating the Relevance of Vegetation Trimlines in the Canadian Arctic as an Indicator of Little Ice Age Paleoenvironments. ARCTIC. 58(4). 9 indexed citations

20.

Wolken, G. J., John England, & Arthur S. Dyke. (2008). Changes in late-Neoglacial perennial snow/ice extent and equilibrium-line altitudes in the Queen Elizabeth Islands, Arctic Canada. The Holocene. 18(4). 615–627. 21 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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