Sean Helfrich

757 total citations
26 papers, 541 citations indexed

About

Sean Helfrich is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sean Helfrich has authored 26 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Sean Helfrich's work include Arctic and Antarctic ice dynamics (11 papers), Flood Risk Assessment and Management (10 papers) and Cryospheric studies and observations (10 papers). Sean Helfrich is often cited by papers focused on Arctic and Antarctic ice dynamics (11 papers), Flood Risk Assessment and Management (10 papers) and Cryospheric studies and observations (10 papers). Sean Helfrich collaborates with scholars based in United States, France and Switzerland. Sean Helfrich's co-authors include Bruce H. Ramsay, T. Baldwin, D. P. McNamara, Walter N. Meier, Roger C. Bales, Steven R. Fassnacht, F. Fetterer, J. Scott Stewart, N. P. Molotch and Christine Chen and has published in prestigious journals such as Remote Sensing, Climate Dynamics and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Sean Helfrich

24 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Helfrich United States 8 491 208 70 46 38 26 541
Ragnar Brækkan Norway 6 456 0.9× 232 1.1× 55 0.8× 42 0.9× 33 0.9× 6 507
David Pritchard United Kingdom 12 367 0.7× 319 1.5× 93 1.3× 24 0.5× 18 0.5× 19 507
Yu Cai China 11 240 0.5× 82 0.4× 52 0.7× 34 0.7× 38 1.0× 21 327
Kehan Yang United States 9 160 0.3× 209 1.0× 160 2.3× 74 1.6× 43 1.1× 14 354
Daniel Bannister United Kingdom 9 255 0.5× 202 1.0× 43 0.6× 18 0.4× 16 0.4× 14 309
Vicky Espinoza United States 6 243 0.5× 270 1.3× 62 0.9× 19 0.4× 28 0.7× 8 345
Aditya Kumar Dubey India 11 223 0.5× 256 1.2× 21 0.3× 35 0.8× 70 1.8× 23 350
Laura Rontu Finland 15 433 0.9× 298 1.4× 19 0.3× 45 1.0× 71 1.9× 37 490
Vanessa Drolon France 5 112 0.2× 230 1.1× 171 2.4× 75 1.6× 79 2.1× 5 335

Countries citing papers authored by Sean Helfrich

Since Specialization
Citations

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

Fields of papers citing papers by Sean Helfrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Helfrich

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Helfrich. A scholar is included among the top collaborators of Sean Helfrich 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 Sean Helfrich. Sean Helfrich 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.
Lee, Hyongki, Chi‐Hung Chang, Kel Markert, et al.. (2025). An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis. Environmental Modelling & Software. 192. 106562–106562. 2 indexed citations
2.
Kellndorfer, Josef, Oliver Cartus, & Sean Helfrich. (2025). Meeting the Big Synthetic Aperture Radar Data Processing Challenge: Introducing the Software for Earth Big Data Processing, Prediction Modeling, and Organization Cloud-Scaling Solution. IEEE Geoscience and Remote Sensing Magazine. 13(2). 210–219. 1 indexed citations
3.
Sun, Donglian, Sanmei Li, Satya Kalluri, et al.. (2024). Hazard or Non-Hazard Flood: Post Analysis for Paddy Rice, Wetland, and Other Potential Non-Hazard Flood Extraction from the VIIRS Flood Products. ISPRS Journal of Photogrammetry and Remote Sensing. 209. 415–431. 3 indexed citations
4.
Bayler, E. J., Paul Chang, Jacqueline L. De La Cour, et al.. (2024). Satellite Oceanography in NOAA: Research, Development, Applications, and Services Enabling Societal Benefits from Operational and Experimental Missions. Remote Sensing. 16(14). 2656–2656. 1 indexed citations
5.
Shen, Xinyi, Kang He, Qingyuan Zhang, et al.. (2024). Pre-failure operational anomalies of the Kakhovka Dam revealed by satellite data. Communications Earth & Environment. 5(1). 5 indexed citations
6.
7.
Ranson, J., et al.. (2024). Satellite Data For a Coastal Zone Digital Twin Use Case. 5927–5930.
8.
Jackson, Christopher, et al.. (2023). Observing Tropical Cyclone Morphology Using RADARSAT-2 and Sentinel-1 Synthetic Aperture Radar Images. Journal of Atmospheric and Oceanic Technology. 40(7). 789–801. 3 indexed citations
9.
Yang, Qing, Xinyi Shen, Qingyuan Zhang, et al.. (2023). Promoting SAR-Based Urban Flood Mapping with Adversarial Generative Network and Out of Distribution Detection. 2336–2338. 5 indexed citations
10.
11.
Liu, Yinghui, Sean Helfrich, Walter N. Meier, & Richard Dworak. (2020). Assessment of AMSR2 Ice Extent and Ice Edge in the Arctic Using IMS. Remote Sensing. 12(10). 1582–1582. 4 indexed citations
12.
Mitchell, Kenneth E., Sean Helfrich, Bruce H. Ramsay, et al.. (2016). 50 Years of NOAA N. Hemisphere Snow Cover Analysis: Impact on NOAA NWP Forecasts and Vice Versa. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
13.
Metzger, E. Joseph, Alan J. Wallcraft, David Hébert, et al.. (2015). Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems. ˜The œcryosphere. 9(4). 1735–1745. 42 indexed citations
14.
15.
Meier, Walter N., F. Fetterer, J. Scott Stewart, & Sean Helfrich. (2015). How do sea-ice concentrations from operational data compare with passive microwave estimates? Implications for improved model evaluations and forecasting. Annals of Glaciology. 56(69). 332–340. 39 indexed citations
16.
Bai, Xuezhi, Jia Wang, Jay A. Austin, et al.. (2014). A record-breaking low ice cover over the Great Lakes during winter 2011/2012: combined effects of a strong positive NAO and La Niña. Climate Dynamics. 44(5-6). 1187–1213. 18 indexed citations
17.
Helfrich, Sean, et al.. (2007). Enhancements to, and forthcoming developments in the Interactive Multisensor Snow and Ice Mapping System (IMS). Hydrological Processes. 21(12). 1576–1586. 283 indexed citations
18.
Kongoli, Cezar, Charles Dean, Sean Helfrich, & Ralph Ferraro. (2007). Evaluating the potential of a blended passive microwave‐interactive multi‐sensor product for improved mapping of snow cover and estimations of snow water equivalent. Hydrological Processes. 21(12). 1597–1607. 14 indexed citations
19.
Kongoli, Cezar, Charles Dean, Sean Helfrich, & Ralph Ferraro. (2006). The Retrievals of Snow Cover Extent and Snow Water Equivalent from a Blended Passive Microwave-Interactive Multi-Sensor Snow Product. 4 indexed citations
20.
Molotch, N. P., Steven R. Fassnacht, Roger C. Bales, & Sean Helfrich. (2004). Estimating the distribution of snow water equivalent and snow extent beneath cloud cover in the Salt–Verde River basin, Arizona. Hydrological Processes. 18(9). 1595–1611. 57 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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