Heather D. Reeves

1.8k total citations
39 papers, 1.3k citations indexed

About

Heather D. Reeves is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Heather D. Reeves has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Heather D. Reeves's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (17 papers) and Cryospheric studies and observations (14 papers). Heather D. Reeves is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (17 papers) and Cryospheric studies and observations (14 papers). Heather D. Reeves collaborates with scholars based in United States, Germany and South Korea. Heather D. Reeves's co-authors include Alexander V. Ryzhkov, Terry J. Schuur, Richard Rotunno, Kimberly L. Elmore, Yuh‐Lang Lin, David J. Stensrud, Matthew R. Kumjian, Shuyi S. Chen, Kristen L. Corbosiero and Greg J. Holland and has published in prestigious journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Heather D. Reeves

39 papers receiving 1.3k citations

Peers

Heather D. Reeves
Marion Mittermaier United Kingdom
Haidao Lin United States
Paul J. Kocin United States
Tim Hewson United Kingdom
Myoung‐Hwan Ahn South Korea
Mei Xu United States
Heather D. Reeves
Citations per year, relative to Heather D. Reeves Heather D. Reeves (= 1×) peers Gwenaëlle Hello

Countries citing papers authored by Heather D. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Heather D. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather D. Reeves. 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 Heather D. Reeves. The network helps show where Heather D. Reeves may publish in the future.

Co-authorship network of co-authors of Heather D. Reeves

This figure shows the co-authorship network connecting the top 25 collaborators of Heather D. Reeves. A scholar is included among the top collaborators of Heather D. Reeves 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 Heather D. Reeves. Heather D. Reeves 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.
Reeves, Heather D., et al.. (2025). Creation and Evaluation of the Freezing Rain Accumulation National Analysis (FRANA) in Preparation for NWS Operations. Weather and Forecasting. 40(2). 319–332. 1 indexed citations
2.
Nelson, James A., et al.. (2024). Toward the Development of an Impact-Based Decision Support Tool for Surface-Transportation Hazards. Part II: An Hourly Winter Storm Severity Index. Weather and Forecasting. 39(8). 1129–1142. 2 indexed citations
3.
Reeves, Heather D., et al.. (2023). Exploring High-Impact Weather Communication across Time Scales for Route Planning through the Aviation Weather Testbed. Bulletin of the American Meteorological Society. 104(4). E810–E814. 2 indexed citations
4.
Reeves, Heather D., et al.. (2023). Evaluation of Ensemble Snowfall Forecasts Using Operationally Used Snow-to-Liquid Ratios in Five Winter Storms. Weather and Forecasting. 38(10). 2135–2147. 2 indexed citations
5.
Baldwin, Michael E., et al.. (2023). Evaluation of a Probabilistic Subfreezing Road Temperature Nowcast System Based on Machine Learning. Weather and Forecasting. 38(12). 2427–2440. 1 indexed citations
6.
Reeves, Heather D., et al.. (2022). Foundational Needs of Forecasters for Probabilistic Winter Forecasting. Weather and Forecasting. 38(1). 3–15. 3 indexed citations
7.
Carlin, Jacob T., Heather D. Reeves, & Alexander V. Ryzhkov. (2021). Polarimetric Observations and Simulations of Sublimating Snow: Implications for Nowcasting. Journal of Applied Meteorology and Climatology. 8 indexed citations
8.
Zhang, Guifu, et al.. (2019). Variational Retrieval of Rain Microphysics and Related Parameters from Polarimetric Radar Data with a Parameterized Operator. Journal of Atmospheric and Oceanic Technology. 36(12). 2483–2500. 13 indexed citations
9.
Reeves, Heather D., et al.. (2018). Dual-Polarized Radar Coverage in Terminal Airspaces and Its Effect on Interpretation of Winter Weather Signatures: Current Capabilities and Future Recommendations. Journal of Applied Meteorology and Climatology. 58(1). 165–183. 6 indexed citations
10.
Ryzhkov, Alexander, Pengfei Zhang, Heather D. Reeves, et al.. (2016). Quasi-Vertical Profiles—A New Way to Look at Polarimetric Radar Data. Journal of Atmospheric and Oceanic Technology. 33(3). 551–562. 117 indexed citations
11.
Schuur, Terry J., Alexander V. Ryzhkov, Heather D. Reeves, et al.. (2014). Recent modifications to a new surface-based polarimetric Hydrometeor Classification Algorithm for the WSR-88D network. 1 indexed citations
12.
Reeves, Heather D., Kimberly L. Elmore, Alexander Ryzhkov, Terry J. Schuur, & John Krause. (2014). Sources of Uncertainty in Precipitation-Type Forecasting. Weather and Forecasting. 29(4). 936–953. 61 indexed citations
13.
Schuur, Terry J., et al.. (2014). A Polarimetric and Microphysical Investigation of the Northeast Blizzard of 8–9 February 2013. Weather and Forecasting. 29(6). 1271–1294. 24 indexed citations
14.
Kumjian, Matthew R., Alexander V. Ryzhkov, Heather D. Reeves, & Terry J. Schuur. (2013). A Dual-Polarization Radar Signature of Hydrometeor Refreezing in Winter Storms. Journal of Applied Meteorology and Climatology. 52(11). 2549–2566. 62 indexed citations
15.
Reeves, Heather D., Kimberly L. Elmore, Geoffrey S. Manikin, & David J. Stensrud. (2011). Assessment of Forecasts during Persistent Valley Cold Pools in the Bonneville Basin by the North American Mesoscale Model. Weather and Forecasting. 26(4). 447–467. 20 indexed citations
16.
Reeves, Heather D., et al.. (2011). Comparison of Ensemble Kalman Filter–Based Forecasts to Traditional Ensemble and Deterministic Forecasts for a Case Study of Banded Snow. Weather and Forecasting. 27(1). 85–105. 4 indexed citations
17.
Reeves, Heather D. & Richard Rotunno. (2008). Orographic Flow Response to Variations in Upstream Humidity. Journal of the Atmospheric Sciences. 65(11). 3557–3570. 12 indexed citations
18.
Reeves, Heather D. & Yuh‐Lang Lin. (2007). The Effects of a Mountain on the Propagation of a Preexisting Convective System for Blocked and Unblocked Flow Regimes. Journal of the Atmospheric Sciences. 64(7). 2401–2421. 30 indexed citations
19.
Reeves, Heather D. & Yuh‐Lang Lin. (2006). Effect of Stable Layer Formation over the Po Valley on the Development of Convection during MAP IOP-8. Journal of the Atmospheric Sciences. 63(10). 2567–2584. 18 indexed citations
20.
Reeves, Heather D. & Gary M. Lackmann. (2004). An Investigation of the Influence of Latent Heat Release on Cold-Frontal Motion. Monthly Weather Review. 132(12). 2864–2881. 14 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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