Eric A. Sproles

941 total citations
30 papers, 652 citations indexed

About

Eric A. Sproles is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Eric A. Sproles has authored 30 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 10 papers in Water Science and Technology. Recurrent topics in Eric A. Sproles's work include Cryospheric studies and observations (22 papers), Hydrology and Watershed Management Studies (10 papers) and Climate change and permafrost (9 papers). Eric A. Sproles is often cited by papers focused on Cryospheric studies and observations (22 papers), Hydrology and Watershed Management Studies (10 papers) and Climate change and permafrost (9 papers). Eric A. Sproles collaborates with scholars based in United States, Chile and United Kingdom. Eric A. Sproles's co-authors include A. W. Nolin, Lucía De Stefano, Jacob D. Petersen‐Perlman, Aaron T. Wolf, J. S. Famiglietti, P. J. Wigington, J. T. Reager, Scott G. Leibowitz, Karl Rittger and T. H. Painter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Eric A. Sproles

27 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric A. Sproles United States 14 274 267 250 97 97 30 652
Jannis Hoch Netherlands 12 178 0.6× 481 1.8× 468 1.9× 61 0.6× 103 1.1× 22 823
Bastien Dieppois United Kingdom 21 371 1.4× 272 1.0× 750 3.0× 21 0.2× 122 1.3× 57 940
Annina Sorg Switzerland 7 752 2.7× 316 1.2× 338 1.4× 89 0.9× 37 0.4× 8 1.0k
Somayeh Shadkam Germany 5 56 0.2× 234 0.9× 216 0.9× 66 0.7× 155 1.6× 8 495
Stephanie Higgins United States 8 279 1.0× 55 0.2× 277 1.1× 40 0.4× 77 0.8× 10 687
Stephen K. Gill United States 15 288 1.1× 84 0.3× 299 1.2× 53 0.5× 469 4.8× 45 856
C. M. Birkett United States 10 225 0.8× 555 2.1× 753 3.0× 31 0.3× 311 3.2× 18 1.0k
A. Barrera-Escoda Spain 14 256 0.9× 193 0.7× 490 2.0× 18 0.2× 15 0.2× 29 620
Kooiti Masuda Japan 16 469 1.7× 164 0.6× 568 2.3× 18 0.2× 138 1.4× 36 783
Andy Plater United Kingdom 16 274 1.0× 62 0.2× 130 0.5× 23 0.2× 120 1.2× 38 652

Countries citing papers authored by Eric A. Sproles

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Sproles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric A. Sproles

This figure shows the co-authorship network connecting the top 25 collaborators of Eric A. Sproles. A scholar is included among the top collaborators of Eric A. Sproles 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 Eric A. Sproles. Eric A. Sproles 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.
Valois, Rémi, Shelley MacDonell, Vincent Marc, et al.. (2025). Role of Sparsely Glacierized Basins and Groundwater in Semiarid Andes Periglacial Headwaters. Hydrological Processes. 39(10).
2.
Farina, Mary, Timothy R. McDermott, Scott Powell, et al.. (2025). Methane emission hotspots in a boreal forest-fen mosaic potentially linked to deep taliks. Environmental Research Letters. 20(10). 104029–104029.
3.
Sproles, Eric A., et al.. (2025). Influence of snow spatial variability on cosmic ray neutron snow water equivalent (SWE): case study in a northern prairie. ˜The œcryosphere. 19(8). 3177–3191. 1 indexed citations
4.
Sproles, Eric A., et al.. (2024). Evaluating Cosmic Ray Neutron Sensor Estimates of Snow Water Equivalent in a Prairie Environment Using UAV Lidar. Water Resources Research. 60(6). 2 indexed citations
5.
6.
Peitzsch, Erich, et al.. (2022). Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain. ˜The œcryosphere. 16(12). 4907–4930. 10 indexed citations
7.
MacDonell, Shelley, et al.. (2022). Snow and ice in the desert: reflections from a decade of connecting cryospheric science with communities in the semiarid Chilean Andes. Annals of Glaciology. 63(87-89). 158–164. 4 indexed citations
8.
Sproles, Eric A., et al.. (2022). An Operational Methodology for Validating Satellite-Based Snow Albedo Measurements Using a UAV. SHILAP Revista de lepidopterología. 2. 3 indexed citations
9.
Crumley, Ryan, et al.. (2020). SnowCloudMetrics: Snow Information for Everyone. Remote Sensing. 12(20). 3341–3341. 21 indexed citations
10.
Sproles, Eric A., et al.. (2018). SnowCloudHydro—A New Framework for Forecasting Streamflow in Snowy, Data-Scarce Regions. Remote Sensing. 10(8). 1276–1276. 21 indexed citations
11.
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
12.
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
13.
López‐Moreno, Juan Ignacio, Simon Gascoin, Javier Herrero, et al.. (2017). Different sensitivities of snowpacks to warming in Mediterranean climate mountain areas. Environmental Research Letters. 12(7). 74006–74006. 85 indexed citations
14.
Sproles, Eric A., Scott G. Leibowitz, J. T. Reager, et al.. (2015). GRACE storage-runoff hystereses reveal the dynamics of regional watersheds. Hydrology and earth system sciences. 19(7). 3253–3272. 42 indexed citations
15.
Sproles, Eric A., Scott G. Leibowitz, J. T. Reager, et al.. (2014). GRACE storage-streamflow hystereses reveal the dynamics of regional watersheds. Bangor University Research Portal (Bangor University). 6 indexed citations
16.
Leibowitz, Scott G., Randy L. Comeleo, P. J. Wigington, et al.. (2014). Hydrologic landscape classification evaluates streamflow vulnerability to climate change in Oregon, USA. Hydrology and earth system sciences. 18(9). 3367–3392. 24 indexed citations
17.
Patil, Sopan, P. J. Wigington, Scott G. Leibowitz, Eric A. Sproles, & Randy L. Comeleo. (2014). How does spatial variability of climate affect catchment streamflow predictions?. Journal of Hydrology. 517. 135–145. 15 indexed citations
18.
Sproles, Eric A., A. W. Nolin, Karl Rittger, & T. H. Painter. (2013). Climate change impacts on maritime mountain snowpack in the Oregon Cascades. Hydrology and earth system sciences. 17(7). 2581–2597. 66 indexed citations
19.
Bone, Christopher, Bart R. Johnson, Max Nielsen‐Pincus, Eric A. Sproles, & John P. Bolte. (2013). A Temporal Variant‐Invariant Validation Approach for Agent‐based Models of Landscape Dynamics. Transactions in GIS. 18(2). 161–182. 8 indexed citations
20.
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

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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