Mark S. Raleigh

2.5k total citations
41 papers, 1.4k citations indexed

About

Mark S. Raleigh is a scholar working on Atmospheric Science, Water Science and Technology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Mark S. Raleigh has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 16 papers in Water Science and Technology and 14 papers in Management, Monitoring, Policy and Law. Recurrent topics in Mark S. Raleigh's work include Cryospheric studies and observations (33 papers), Hydrology and Watershed Management Studies (16 papers) and Landslides and related hazards (14 papers). Mark S. Raleigh is often cited by papers focused on Cryospheric studies and observations (33 papers), Hydrology and Watershed Management Studies (16 papers) and Landslides and related hazards (14 papers). Mark S. Raleigh collaborates with scholars based in United States, Canada and Austria. Mark S. Raleigh's co-authors include Jessica D. Lundquist, Martyn Clark, Eric E. Small, Karl Lapo, Karl Rittger, James A. Lutz, Brian Henn, Laura M. Hinkelman, Christopher C. Landry and William P. King and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Mark S. Raleigh

39 papers receiving 1.3k citations

Peers

Countries citing papers authored by Mark S. Raleigh

Since Specialization

Citations

This map shows the geographic impact of Mark S. Raleigh'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. Raleigh 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. Raleigh more than expected).

Fields of papers citing papers by Mark S. Raleigh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Raleigh. A scholar is included among the top collaborators of Mark S. Raleigh 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. Raleigh. Mark S. Raleigh 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

#	Work	Indexed citations
1	Snow monitoring at strategic locations improves water supply forecasting more than basin-wide mapping 2025 ·Communications Earth & Environment ·Mark S. Raleigh, Eric E. Small, Edward H. Bair, Cameron Wobus, Karl Rittger	1
2	Using a Random Forest Model to Combine Airborne Lidar and Snotel Data for Daily Estimates of Snow Depth Across Mountain Drainage Basins of Colorado 2025 ·Water Resources Research ·(unknown), Mark S. Raleigh, Eric E. Small	0
3	Measuring tree sway frequency with videos for ecohydrologic applications: Assessing the efficacy of Eulerian processing algorithms 2025 ·Agricultural and Forest Meteorology ·(unknown), E. D. Gutmann, (unknown), Holly Barnard, (unknown), Steven P. Loheide, Mark S. Raleigh, Jessica D. Lundquist	0
4	Demonstrating a Hybrid Machine Learning Approach for Snow Characteristic Estimation Throughout the Western United States 2024 ·Water Resources Research ·(unknown), Eric E. Small, Mark S. Raleigh	7
5	Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA 2024 ·The cryosphere ·(unknown), (unknown), Hans‐Peter Marshall, E. J. Deeb, S. O’Neel, Daniel McGrath, Ryan Webb, (unknown), Mark S. Raleigh, C. A. Hiemstra, Kelly Elder	4
6	Spatio-temporal patterns and trends in MODIS-retrieved radiative forcing by snow impurities over the Western US from 2001 to 2022 2024 ·SHILAP Revista de lepidopterología ·(unknown), Karl Rittger, Mark S. Raleigh	3
7	Tracking the Evolution of Snow Drought in the U.S. Pacific Northwest at Variable Scales 2024 ·Water Resources Research ·(unknown), Mark S. Raleigh, Robert E. Kennedy	4
8	Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals 2023 ·The Science of The Total Environment ·Manuela Girotto, Giuseppe Formetta, (unknown), (unknown), (unknown), Gabriëlle De Lannoy, Hans Lievens, Sara Modanesi, Mark S. Raleigh, Riccardo Rigon, Christian Massari	11
9	Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets 2023 ·The cryosphere ·Timbo Stillinger, Karl Rittger, Mark S. Raleigh, (unknown), Robert E. Davis, Edward H. Bair	46
10	Leveraging Groundwater Dynamics to Improve Predictions of Summer Low‐Flow Discharges 2023 ·Water Resources Research ·(unknown), A. A. Harpold, Rosemary Carroll, Holly Barnard, Mark S. Raleigh, Catalina Segura, Li Li, Kenneth H. Williams, Wenming Dong, Pamela Sullivan	12
11	Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies With Tree Sway Monitoring 2022 ·Water Resources Research ·Mark S. Raleigh, E. D. Gutmann, John T. Van Stan, Sean P. Burns, Peter D. Blanken, Eric E. Small	14
12	Within‐Stand Boundary Effects on Snow Water Equivalent Distribution in Forested Areas 2020 ·Scholar Works (Boise State University) ·Ryan Webb, Mark S. Raleigh, Daniel McGrath, N. P. Molotch, Kelly Elder, C. A. Hiemstra, Ludovic Brucker, Hans‐Peter Marshall	16
13	Within‐Stand Boundary Effects on Snow Water Equivalent Distribution in Forested Areas 2020 ·Water Resources Research ·R. M. Webb, Mark S. Raleigh, Daniel McGrath, N. P. Molotch, (unknown), C. A. Hiemstra, Ludovic Brucker, Hans‐Peter Marshall	1
14	Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping 2019 ·Water Resources Research ·Karl Rittger, Mark S. Raleigh, Jeff Dozier, Alice F. Hill, James A. Lutz, T. H. Painter	67
15	Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data 2019 ·Earth system science data ·Cécile B. Ménard, Richard Essery, Alan Barr, Paul Bartlett, Jeff Derry, Marie Dumont, Charles Fierz, Hyungjun Kim, Anna Kontu, Yves Lejeune, Danny Marks, Masashi Niwano, Mark S. Raleigh, Libo Wang, Nander Wever	39
16	Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework 2015 ·Hydrology and earth system sciences ·Mark S. Raleigh, Jessica D. Lundquist, Martyn Clark	138
17	Spatial Heterogeneity in Ecologically Important Climate Variables at Coarse and Fine Scales in a High-Snow Mountain Landscape 2013 ·PLoS ONE ·Kevin R. Ford, Ailene K. Ettinger, Jessica D. Lundquist, Mark S. Raleigh, Janneke Hille Ris Lambers	61
18	Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability 2012 ·Advances in Water Resources ·A. G. Slater, A. P. Barrett, Martyn Clark, Jessica D. Lundquist, Mark S. Raleigh	55
19	Calculating snowmelt backwards - using the date of snowpack disappearance to determine how much snow fell over a season 2009 ·AGUFM ·Mark S. Raleigh, Jessica D. Lundquist	1
20	Most Critical Surface Meteorological Measurements for Modeling Distributed Snowmelt in the Sierra Nevada, California 2008 ·AGUFM ·Mark S. Raleigh, (unknown), Jessica D. Lundquist	2

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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