Scott Landolt

1.6k total citations · 1 hit paper
26 papers, 998 citations indexed

About

Scott Landolt is a scholar working on Atmospheric Science, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, Scott Landolt has authored 26 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 15 papers in Aerospace Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Scott Landolt's work include Meteorological Phenomena and Simulations (17 papers), Icing and De-icing Technologies (13 papers) and Precipitation Measurement and Analysis (11 papers). Scott Landolt is often cited by papers focused on Meteorological Phenomena and Simulations (17 papers), Icing and De-icing Technologies (13 papers) and Precipitation Measurement and Analysis (11 papers). Scott Landolt collaborates with scholars based in United States, Canada and Spain. Scott Landolt's co-authors include Roy Rasmussen, Kyoko Ikeda, Julie M. Thériault, John Kochendorfer, Tilden P. Meyers, Bruce L. Baker, Mark E. Hall, Rodica Nitu, Craig D. Smith and Paul A. Kucera and has published in prestigious journals such as Sensors, Bulletin of the American Meteorological Society and Hydrology and earth system sciences.

In The Last Decade

Scott Landolt

25 papers receiving 987 citations

Hit Papers

How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter ... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Landolt United States 10 898 538 163 108 60 26 998
Craig D. Smith Canada 14 884 1.0× 546 1.0× 208 1.3× 117 1.1× 27 0.5× 27 1.0k
Rodica Nitu Canada 6 657 0.7× 426 0.8× 133 0.8× 73 0.7× 15 0.3× 10 730
Boris Sevruk Switzerland 14 934 1.0× 590 1.1× 267 1.6× 236 2.2× 35 0.6× 28 1.1k
J. L. McCreight United States 13 722 0.8× 224 0.4× 174 1.1× 163 1.5× 29 0.5× 32 884
Don Cline United States 11 725 0.8× 206 0.4× 244 1.5× 138 1.3× 17 0.3× 29 800
G. A. Sexstone United States 13 337 0.4× 203 0.4× 229 1.4× 70 0.6× 19 0.3× 31 520
Marco L. Carrera Canada 17 746 0.8× 566 1.1× 142 0.9× 260 2.4× 23 0.4× 36 907
Prabin Rokaya Canada 16 366 0.4× 142 0.3× 181 1.1× 91 0.8× 15 0.3× 26 557
Jenny Black United States 4 523 0.6× 327 0.6× 108 0.7× 57 0.5× 15 0.3× 5 577
Lizhao Wang China 9 264 0.3× 376 0.7× 62 0.4× 235 2.2× 39 0.7× 14 614

Countries citing papers authored by Scott Landolt

Since Specialization
Citations

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

Fields of papers citing papers by Scott Landolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Landolt

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Landolt. A scholar is included among the top collaborators of Scott Landolt 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 Scott Landolt. Scott Landolt 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.
Schvartzman, David, et al.. (2025). Considerations on UAS-Based In Situ Weather Sensing in Winter Precipitation Environments. Sensors. 25(3). 790–790.
2.
Bernstein, Ben, Scott Landolt, Mengistu Wolde, et al.. (2024). Airborne Observations of Highly Variable and Complex Freezing Drizzle and Mixed-Phase Environments. Journal of Applied Meteorology and Climatology. 63(11). 1343–1361. 1 indexed citations
3.
Kochendorfer, John, et al.. (2023). A new reference-quality precipitation gauge wind shield. Atmospheric measurement techniques. 16(22). 5647–5657. 2 indexed citations
4.
Jensen, Anders A., Courtney Weeks, Mei Xu, et al.. (2023). The Prediction of Supercooled Large Drops by a Microphysics and a Machine Learning Model for the ICICLE Field Campaign. Weather and Forecasting. 38(7). 1107–1124. 2 indexed citations
5.
Seefeldt, Mark W., et al.. (2021). Remote and autonomous measurements of precipitation for the northwestern Ross Ice Shelf, Antarctica. Earth system science data. 13(12). 5803–5817. 4 indexed citations
6.
Kochendorfer, John, Michael E. Earle, Daniel Hodyss, et al.. (2020). Undercatch Adjustments for Tipping-Bucket Gauge Measurements of Solid Precipitation. Journal of Hydrometeorology. 21(6). 1193–1205. 19 indexed citations
7.
Landolt, Scott, et al.. (2019). The Impacts of Automation on Present Weather–Type Observing Capabilities across the Conterminous United States. Journal of Applied Meteorology and Climatology. 58(12). 2699–2715. 19 indexed citations
8.
Xu, Mei, et al.. (2019). On the Value of Time-Lag-Ensemble Averaging to Improve Numerical Model Predictions of Aircraft Icing Conditions. Weather and Forecasting. 34(3). 507–519. 19 indexed citations
9.
Kochendorfer, John, Rodica Nitu, Mareile Wolff, et al.. (2018). Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE. Hydrology and earth system sciences. 22(2). 1437–1452. 58 indexed citations
10.
Landolt, Scott, et al.. (2018). The NCAR–FAA Snow Machine: An Artificial Snow-Generation System. Journal of Atmospheric and Oceanic Technology. 35(11). 2159–2168. 4 indexed citations
11.
Landolt, Scott. (2017). Impacts of the Implementation of the Automated Surface Observing System (ASOS) on the Reports of Precipitation Type in Airport Terminal Areas Around the United States. 2 indexed citations
12.
Kochendorfer, John, Roy Rasmussen, Mareile Wolff, et al.. (2017). The quantification and correction of wind-induced precipitation measurement errors. Hydrology and earth system sciences. 21(4). 1973–1989. 128 indexed citations
13.
Landolt, Scott, et al.. (2014). Weather Support for Terminal Area Icing Weather Information. 1 indexed citations
14.
Landolt, Scott, Matteo Colli, P. La Barbera, Luca G. Lanza, & Roy Rasmussen. (2012). Using laboratory experiments to improve reliability in rainfall and solid precipitation weighing-gauge measurements. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
15.
Thériault, Julie M., Roy Rasmussen, Kyoko Ikeda, & Scott Landolt. (2011). Dependence of Snow Gauge Collection Efficiency on Snowflake Characteristics. Journal of Applied Meteorology and Climatology. 51(4). 745–762. 85 indexed citations
16.
Rasmussen, Roy, et al.. (2010). The Hotplate Precipitation Gauge. Journal of Atmospheric and Oceanic Technology. 28(2). 148–164. 29 indexed citations
17.
Rasmussen, Roy, et al.. (2006). New Ground Deicing Hazard Associated with Freezing Drizzle Ingestion by Jet Engines. Journal of Aircraft. 43(5). 1448–1457. 8 indexed citations
18.
Landolt, Scott. (2004). A Characterization of Wind Flow in and around an Alter Shielded Snowgauge. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 1 indexed citations
19.
Rasmussen, Roy, et al.. (2003). ENDURANCE TIME TESTING USING THE NCAR SNOW MACHINE: RECONCILIATION OF OUTDOOR AND INDOOR TESTS OF TYPE IV FLUIDS. 1 indexed citations
20.
Rasmussen, Roy, et al.. (1999). Results of Holdover Time Testing of Type IV Anti-Icing Fluids With the Improved NCAR Artificial Snow Generation System. Defense Technical Information Center (DTIC). 5 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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