S. Havens

530 total citations
23 papers, 300 citations indexed

About

S. Havens is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, S. Havens has authored 23 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 12 papers in Water Science and Technology and 10 papers in Global and Planetary Change. Recurrent topics in S. Havens's work include Cryospheric studies and observations (16 papers), Hydrology and Watershed Management Studies (12 papers) and Landslides and related hazards (6 papers). S. Havens is often cited by papers focused on Cryospheric studies and observations (16 papers), Hydrology and Watershed Management Studies (12 papers) and Landslides and related hazards (6 papers). S. Havens collaborates with scholars based in United States, Switzerland and China. S. Havens's co-authors include A. R. Hedrick, Danny Marks, Hans‐Peter Marshall, Patrick R. Kormos, K. J. Bormann, J. B. Johnson, T. H. Painter, Jonathan D. Bates, Frederick B. Pierson and Stuart P. Hardegree and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

S. Havens

21 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Havens United States 10 194 115 106 78 60 23 300
Nicole Schaffer Chile 10 315 1.6× 30 0.3× 39 0.4× 82 1.1× 45 0.8× 20 392
J. Bradford United States 6 242 1.2× 34 0.3× 64 0.6× 26 0.3× 57 0.9× 21 328
Olga Makarieva Russia 9 278 1.4× 57 0.5× 53 0.5× 33 0.4× 42 0.7× 48 360
Pratima Pandey India 11 430 2.2× 31 0.3× 59 0.6× 153 2.0× 20 0.3× 35 490
Katherine Strattman United Kingdom 2 414 2.1× 50 0.4× 99 0.9× 129 1.7× 31 0.5× 2 474
Rakia Meister United Kingdom 4 101 0.5× 95 0.8× 81 0.8× 18 0.2× 12 0.2× 5 248
M. Funk Switzerland 12 446 2.3× 41 0.4× 94 0.9× 168 2.2× 15 0.3× 18 494
Eric Pohl Germany 10 207 1.1× 110 1.0× 78 0.7× 28 0.4× 16 0.3× 15 269
Paolo Pogliotti Italy 11 365 1.9× 30 0.3× 88 0.8× 133 1.7× 21 0.3× 24 412
Jaydeo K. Dharpure India 11 158 0.8× 75 0.7× 124 1.2× 32 0.4× 21 0.3× 19 303

Countries citing papers authored by S. Havens

Since Specialization
Citations

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

Fields of papers citing papers by S. Havens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Havens

This figure shows the co-authorship network connecting the top 25 collaborators of S. Havens. A scholar is included among the top collaborators of S. Havens 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 S. Havens. S. Havens 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.
Godsey, Sarah E., G. N. Flerchinger, S. Havens, et al.. (2023). Evapotranspiration and groundwater inputs control the timing of diel cycling of stream drying during low-flow periods. Frontiers in Water. 5. 4 indexed citations
2.
Kiewiet, Leonie, Ernesto Trujillo, A. R. Hedrick, et al.. (2022). Effects of spatial and temporal variability in surface water inputs on streamflow generation and cessation in the rain–snow transition zone. Hydrology and earth system sciences. 26(10). 2779–2796. 11 indexed citations
3.
Kiewiet, Leonie, Ernesto Trujillo, A. R. Hedrick, et al.. (2022). Drivers of spatiotemporal patterns of surface water inputs in a catchment at the rain-snow transition zone of the water-limited western United States. Journal of Hydrology. 616. 128699–128699. 3 indexed citations
4.
5.
Johnson, J. B., Jacob F. Anderson, Hans‐Peter Marshall, S. Havens, & Leighton M. Watson. (2021). Snow Avalanche Detection and Source Constraints Made Using a Networked Array of Infrasound Sensors. Journal of Geophysical Research Earth Surface. 126(3). 17 indexed citations
6.
Hedrick, A. R., Danny Marks, Hans‐Peter Marshall, et al.. (2020). From Drought to Flood: A Water Balance Analysis of the Tuolumne River Basin during Extreme Conditions (2015 – 2017). Hydrological Processes. 18 indexed citations
7.
8.
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
9.
Havens, S., et al.. (2019). Approximating Input Data to a Snowmelt Model Using Weather Research and Forecasting Model Outputs in Lieu of Meteorological Measurements. Journal of Hydrometeorology. 20(5). 847–862. 14 indexed citations
10.
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
11.
Hedrick, A. R., Danny Marks, S. Havens, et al.. (2018). Direct Insertion of NASA Airborne Snow Observatory‐Derived Snow Depth Time Series Into the iSnobal Energy Balance Snow Model. Water Resources Research. 54(10). 8045–8063. 82 indexed citations
12.
13.
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
14.
Havens, S., Danny Marks, Patrick R. Kormos, & A. R. Hedrick. (2017). Spatial Modeling for Resources Framework (SMRF): A modular framework for developing spatial forcing data for snow modeling in mountain basins. Computers & Geosciences. 109. 295–304. 14 indexed citations
15.
Kormos, Patrick R., Danny Marks, Frederick B. Pierson, et al.. (2016). Ecosystem Water Availability in Juniper versus Sagebrush Snow-Dominated Rangelands. Rangeland Ecology & Management. 70(1). 116–128. 54 indexed citations
16.
Havens, S.. (2014). Development and Application of Tools for Avalanche Forecasting, Avalanche Detection, and Snowpack Characterization. Scholar Works (Boise State University).
17.
Havens, S., et al.. (2012). Real Time Snow Slope Stability Modeling of Direct Action Avalanches. 866–871. 1 indexed citations
18.
Havens, S., Hans‐Peter Marshall, Christine Pielmeier, & Kelly Elder. (2012). Automatic Grain Type Classification of Snow Micro Penetrometer Signals With Random Forests. IEEE Transactions on Geoscience and Remote Sensing. 51(6). 3328–3335. 17 indexed citations
19.
Havens, S., et al.. (2010). SNOW MICRO PENETROMETER AND NEAR INFRARED PHOTOGRAPHY FOR GRAIN TYPE CLASSIFICATION.. 465–469. 1 indexed citations
20.
Marshall, Hans‐Peter, Christine Pielmeier, S. Havens, & Frank Techel. (2010). Slope-Scale Snowpack Stability Derived from Multiple Snowmicropen Measurements and High-Resolution Terrestrial FMCW Radar Surveys. 102–109. 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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