Danny Marks

9.7k total citations · 1 hit paper
122 papers, 7.0k citations indexed

About

Danny Marks is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Danny Marks has authored 122 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Atmospheric Science, 70 papers in Water Science and Technology and 51 papers in Global and Planetary Change. Recurrent topics in Danny Marks's work include Cryospheric studies and observations (80 papers), Hydrology and Watershed Management Studies (70 papers) and Climate change and permafrost (35 papers). Danny Marks is often cited by papers focused on Cryospheric studies and observations (80 papers), Hydrology and Watershed Management Studies (70 papers) and Climate change and permafrost (35 papers). Danny Marks collaborates with scholars based in United States, Canada and United Kingdom. Danny Marks's co-authors include Timothy E. Link, A. H. Winstral, Jeff Dozier, John W. Pomeroy, D. C. Garen, M. S. Seyfried, Michele L. Reba, Donald L. Phillips, G. N. Flerchinger and Janet P. Hardy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

Danny Marks

121 papers receiving 6.6k citations

Hit Papers

The Airborne Snow Observatory: Fusion of scanning lidar, ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Marks United States 48 5.0k 3.3k 3.1k 1.0k 822 122 7.0k
N. P. Molotch United States 50 5.6k 1.1× 3.6k 1.1× 2.9k 0.9× 773 0.8× 787 1.0× 125 7.2k
Tobias Jonas Switzerland 44 4.1k 0.8× 1.8k 0.6× 1.5k 0.5× 774 0.8× 930 1.1× 133 5.4k
E. D. Gutmann United States 37 3.9k 0.8× 3.7k 1.1× 2.0k 0.6× 1.8k 1.8× 264 0.3× 95 6.4k
John W. Pomeroy Canada 71 11.4k 2.3× 6.0k 1.8× 6.5k 2.1× 1.9k 1.9× 1.8k 2.2× 345 15.4k
J. P. McNamara United States 47 3.2k 0.6× 1.5k 0.5× 2.6k 0.8× 1.4k 1.4× 573 0.7× 122 6.0k
David Gochis United States 45 5.1k 1.0× 6.2k 1.9× 3.6k 1.1× 1.7k 1.6× 304 0.4× 146 8.9k
Alain Pietroniro Canada 37 2.2k 0.4× 1.9k 0.6× 2.4k 0.8× 898 0.9× 190 0.2× 150 4.5k
A. G. Slater United States 32 5.3k 1.1× 3.5k 1.1× 1.9k 0.6× 1.0k 1.0× 215 0.3× 47 7.2k
Juraj Párajka Austria 42 2.4k 0.5× 4.1k 1.2× 4.5k 1.4× 1.4k 1.4× 182 0.2× 138 6.5k
A. A. Harpold United States 36 2.0k 0.4× 1.8k 0.6× 1.7k 0.6× 618 0.6× 329 0.4× 97 3.7k

Countries citing papers authored by Danny Marks

Since Specialization
Citations

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

Fields of papers citing papers by Danny Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Marks. 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 Danny Marks. The network helps show where Danny Marks may publish in the future.

Co-authorship network of co-authors of Danny Marks

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Marks. A scholar is included among the top collaborators of Danny Marks 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 Danny Marks. Danny Marks 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.
Marshall, Adrienne, et al.. (2019). Warming Alters Hydrologic Heterogeneity: Simulated Climate Sensitivity of Hydrology‐Based Microrefugia in the Snow‐to‐Rain Transition Zone. Water Resources Research. 55(3). 2122–2141. 31 indexed citations
2.
Ménard, Cécile B., Richard Essery, Alan Barr, et al.. (2019). Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data. Earth system science data. 11(2). 865–880. 39 indexed citations
3.
Trujillo, Ernesto, S. Havens, A. R. Hedrick, et al.. (2019). Utilizing Spatially Resolved SWE to Inform Snowfall Interpolation Across a Headwater Catchment in the Sierra Nevada. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
5.
Kormos, Patrick R., Danny Marks, M. S. Seyfried, et al.. (2018). 31 years of hourly spatially distributed air temperature, humidity, and precipitation amount and phase from Reynolds Critical Zone Observatory. Earth system science data. 10(2). 1197–1205. 16 indexed citations
6.
Painter, T. H., K. J. Bormann, J. S. Deems, et al.. (2017). Through the Looking Glass: Droughtorama to Snowpocalypse in the Sierra Nevada as studied with the NASA Airborne Snow Observatory. AGUFM. 2017. 2 indexed citations
7.
Kormos, Patrick R., Danny Marks, Frederick B. Pierson, et al.. (2017). Meteorological, snow, streamflow, topographic, and vegetation height data from four western juniper-dominated experimental catchments in southwestern Idaho, USA. Earth system science data. 9(1). 91–98. 2 indexed citations
9.
Goodrich, David C., Susan Moran, Jürgen Garbrecht, et al.. (2016). The USDA-ARS experimental watershed network - evolution, lessons learned, and moving forward. 211. 53–53. 3 indexed citations
11.
Pomeroy, John W., et al.. (2014). A Cold Rain-on-Snow Event in a Canadian Rockies Alpine Catchment: Characteristics and Modelling. 2014 AGU Fall Meeting. 2014. 1 indexed citations
12.
Kormos, Patrick R., Danny Marks, C. Jason Williams, et al.. (2014). Soil, snow, weather, and sub-surface storage data from a mountain catchment in the rain–snow transition zone. Earth system science data. 6(1). 165–173. 13 indexed citations
13.
Link, Timothy E., D. J. Carson, & Danny Marks. (2010). Quantification of snowpack mass and energy dynamics in across a canopy discontinuity. AGUFM. 2010. 2 indexed citations
14.
Flerchinger, G. N., Danny Marks, Michele L. Reba, Qian Yu, & M. S. Seyfried. (2010). Roles of spatially varying vegetation on surface fluxes within a small mountainous catchment. 1 indexed citations
15.
Flerchinger, G. N., Danny Marks, Michele L. Reba, Qiang Yu, & M. S. Seyfried. (2010). Surface fluxes and water balance of spatially varying vegetation within a small mountainous headwater catchment. Hydrology and earth system sciences. 14(6). 965–978. 37 indexed citations
16.
Rice, R., Roger C. Bales, M. W. Meadows, et al.. (2009). Design and implementation of a snow measurement network using ground-based wireless networks and space-borne measurements in the American River Basin of California. AGUFM. 2009. 1 indexed citations
17.
Marks, Danny, Timothy E. Link, Michele L. Reba, et al.. (2006). Sub-canopy radiant energy during snowmelt in uniform and non-uniform forests spanning the North American Cordillera. AGUSM. 2007. 1 indexed citations
18.
Sicart, Jean Emmanuel, Richard Essery, John W. Pomeroy, et al.. (2004). A Sensitivity Study of Daytime Net Radiation during Snowmelt to Forest Canopy and Atmospheric Conditions. Journal of Hydrometeorology. 5(5). 774–784. 139 indexed citations
19.
Hardy, Janet P., John W. Pomeroy, Aled Rowlands, et al.. (2002). Solar and longwave radiation dynamics around a single conifer tree with implications for snow modeling in forests.. AGUFM. 2002. 1 indexed citations
20.
Link, Timothy E., M. H. Unsworth, Danny Marks, & G. N. Flerchinger. (2001). Simulation of Water and Energy Fluxes in an Old Growth Seasonal Temperate Rainforest Using the Simultaneous Heat and Water (SHAW) Model. AGUFM. 2001. 3 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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