Justin Sieglaff

1.2k total citations
27 papers, 883 citations indexed

About

Justin Sieglaff is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Justin Sieglaff has authored 27 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Justin Sieglaff's work include Meteorological Phenomena and Simulations (20 papers), Atmospheric aerosols and clouds (17 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Justin Sieglaff is often cited by papers focused on Meteorological Phenomena and Simulations (20 papers), Atmospheric aerosols and clouds (17 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Justin Sieglaff collaborates with scholars based in United States. Justin Sieglaff's co-authors include Michael J. Pavolonis, John L. Cintineo, Andrew K. Heidinger, Lee M. Cronce, Daniel T. Lindsey, Wayne F. Feltz, Jason A. Otkin, Roger P. Denlinger, Jason Brunner and Kristopher M. Bedka and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

Justin Sieglaff

26 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin Sieglaff United States	19	732	687	74	64	62	27	883
Mark J. Rokey United States	4	650 0.9×	595 0.9×	35 0.5×	31 0.5×	38 0.6×	9	816
Nick Schutgens Netherlands	25	1.5k 2.1×	1.5k 2.1×	85 1.1×	29 0.5×	47 0.8×	69	1.7k
Meta Sienkiewicz United States	8	995 1.4×	936 1.4×	100 1.4×	87 1.4×	52 0.8×	14	1.2k
M. M. Khaiyer United States	13	830 1.1×	844 1.2×	59 0.8×	16 0.3×	58 0.9×	42	915
Som Sharma India	15	489 0.7×	433 0.6×	122 1.6×	260 4.1×	64 1.0×	83	828
Toyoshi Shimomai Japan	17	695 0.9×	411 0.6×	156 2.1×	125 2.0×	79 1.3×	51	793
Byung‐Ju Sohn South Korea	19	1.2k 1.6×	1.0k 1.5×	83 1.1×	24 0.4×	68 1.1×	49	1.3k
Elisa Carboni United Kingdom	19	997 1.4×	1.0k 1.5×	73 1.0×	43 0.7×	46 0.7×	57	1.2k
Sunny Sun‐Mack United States	22	1.5k 2.1×	1.6k 2.3×	42 0.6×	56 0.9×	74 1.2×	63	1.7k
A. Scott Bachmeier United States	21	1.1k 1.6×	1.1k 1.5×	92 1.2×	92 1.4×	96 1.5×	25	1.3k

Countries citing papers authored by Justin Sieglaff

Since Specialization

Citations

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

Fields of papers citing papers by Justin Sieglaff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Sieglaff

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Sieglaff. A scholar is included among the top collaborators of Justin Sieglaff 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 Justin Sieglaff. Justin Sieglaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Crawford, Alice, Tianfeng Chai, Mark Cohen, et al.. (2025). Improving Volcanic SO ₂ Cloud Modeling Through Data Fusion and Trajectory Analysis: A Case Study of the 2022 Hunga Tonga Eruption. Journal of Geophysical Research Atmospheres. 130(4).

Crawford, Alice, Tianfeng Chai, Barbara J. B. Stunder, et al.. (2022). Evaluation and bias correction of probabilistic volcanic ash forecasts. Atmospheric chemistry and physics. 22(21). 13967–13996. 8 indexed citations

Pavolonis, Michael J., et al.. (2021). A Novel Approach to Estimating Time-Averaged Volcanic SO2 Fluxes from Infrared Satellite Measurements. Remote Sensing. 13(5). 966–966. 2 indexed citations

Cintineo, John L., et al.. (2020). A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images. Weather and Forecasting. 35(6). 2567–2588. 27 indexed citations

Cintineo, John L., Michael J. Pavolonis, Justin Sieglaff, Lee M. Cronce, & Jason Brunner. (2020). NOAA ProbSevere v2.0—ProbHail, ProbWind, and ProbTor. Weather and Forecasting. 35(4). 1523–1543. 44 indexed citations

Pavolonis, Michael J., Justin Sieglaff, & John L. Cintineo. (2018). Automated Detection of Explosive Volcanic Eruptions Using Satellite‐Derived Cloud Vertical Growth Rates. Earth and Space Science. 5(12). 903–928. 30 indexed citations

Cintineo, John L., Michael J. Pavolonis, Justin Sieglaff, et al.. (2018). The NOAA/CIMSS ProbSevere Model: Incorporation of Total Lightning and Validation. Weather and Forecasting. 33(1). 331–345. 43 indexed citations

Griffin, Sarah M., Jason A. Otkin, Christopher M. Rozoff, et al.. (2017). Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification. Journal of Applied Meteorology and Climatology. 56(8). 2317–2334. 22 indexed citations

Griffin, Sarah M., Jason A. Otkin, Christopher M. Rozoff, et al.. (2016). Methods for Comparing Simulated and Observed Satellite Infrared Brightness Temperatures and What Do They Tell Us?. Weather and Forecasting. 32(1). 5–25. 23 indexed citations

10.

Mecikalski, John R., Kristopher M. Bedka, Ralph A. Petersen, et al.. (2015). Demonstration of a GOES-R Satellite Convective Toolkit to “Bridge the Gap” between Severe Weather Watches and Warnings: An Example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak. Bulletin of the American Meteorological Society. 97(1). 69–84. 27 indexed citations

11.

Pavolonis, Michael J., Justin Sieglaff, & John L. Cintineo. (2015). Spectrally Enhanced Cloud Objects—A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 2. Cloud object analysis and global application. Journal of Geophysical Research Atmospheres. 120(15). 7842–7870. 30 indexed citations

12.

Cintineo, John L., Michael J. Pavolonis, Justin Sieglaff, & Daniel T. Lindsey. (2014). An Empirical Model for Assessing the Severe Weather Potential of Developing Convection. Weather and Forecasting. 29(3). 639–653. 71 indexed citations

13.

Pavolonis, Michael J., Andrew K. Heidinger, & Justin Sieglaff. (2013). Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements. Journal of Geophysical Research Atmospheres. 118(3). 1436–1458. 101 indexed citations

14.

Sieglaff, Justin, et al.. (2013). Probability of Convectively Induced Turbulence Associated with Geostationary Satellite–Inferred Cloud-Top Cooling. Journal of Applied Meteorology and Climatology. 53(2). 429–436. 4 indexed citations

15.

Cintineo, John L., Michael J. Pavolonis, Justin Sieglaff, & Andrew K. Heidinger. (2013). Evolution of Severe and Nonsevere Convection Inferred from GOES-Derived Cloud Properties. Journal of Applied Meteorology and Climatology. 52(9). 2009–2023. 46 indexed citations

16.

Sieglaff, Justin, Lee M. Cronce, & Wayne F. Feltz. (2013). Improving Satellite-Based Convective Cloud Growth Monitoring with Visible Optical Depth Retrievals. Journal of Applied Meteorology and Climatology. 53(2). 506–520. 15 indexed citations

17.

Lindsey, Daniel T., Jason A. Otkin, Justin Sieglaff, et al.. (2012). Synthetic Satellite Imagery for Real-Time High-Resolution Model Evaluation. Weather and Forecasting. 27(3). 784–795. 36 indexed citations

18.

Sieglaff, Justin, et al.. (2012). A Satellite-Based Convective Cloud Object Tracking and Multipurpose Data Fusion Tool with Application to Developing Convection. Journal of Atmospheric and Oceanic Technology. 30(3). 510–525. 33 indexed citations

19.

Denlinger, Roger P., Michael J. Pavolonis, & Justin Sieglaff. (2012). A robust method to forecast volcanic ash clouds. Journal of Geophysical Research Atmospheres. 117(D13). 70 indexed citations

20.

Otkin, Jason A., Thomas J. Greenwald, Justin Sieglaff, & Hung‐Lung Huang. (2009). Validation of a Large-Scale Simulated Brightness Temperature Dataset Using SEVIRI Satellite Observations. Journal of Applied Meteorology and Climatology. 48(8). 1613–1626. 56 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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