Ryan D. Torn

4.7k total citations · 1 hit paper
74 papers, 3.5k citations indexed

About

Ryan D. Torn is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ryan D. Torn has authored 74 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Atmospheric Science, 64 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in Ryan D. Torn's work include Meteorological Phenomena and Simulations (57 papers), Climate variability and models (57 papers) and Tropical and Extratropical Cyclones Research (49 papers). Ryan D. Torn is often cited by papers focused on Meteorological Phenomena and Simulations (57 papers), Climate variability and models (57 papers) and Tropical and Extratropical Cyclones Research (49 papers). Ryan D. Torn collaborates with scholars based in United States, United Kingdom and Japan. Ryan D. Torn's co-authors include Gregory J. Hakim, Chris Snyder, Christopher A. Davis, Rosimar Rios‐Berrios, Martha C. Anderson, William P. Kustas, John M. Norman, Hui Liu, J. G. Anderson and Kevin Raeder and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Journal of Climate.

In The Last Decade

Ryan D. Torn

71 papers receiving 3.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Data Assimilation Research Testbed: A Community Facility

2009 492 citations Ryan D. Torn et al. Bulletin of the American Meteorological Society profile →

Peers

Countries citing papers authored by Ryan D. Torn

Since Specialization

Citations

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

Fields of papers citing papers by Ryan D. Torn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan D. Torn

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan D. Torn. A scholar is included among the top collaborators of Ryan D. Torn 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 Ryan D. Torn. Ryan D. Torn 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

#	Work	Indexed citations
1	Application of Ensemble Sensitivity for Hurricane Track Forecast Sensitivity and Flight Planning 2025 ·Weather and Forecasting ·Ryan D. Torn, Michael J. Brennan, Jason Dunion	1
2	A Comparison of Arctic and Atlantic Basin Cyclone Track and Intensity Forecast Uncertainty 2025 ·Monthly Weather Review ·(unknown), Ryan D. Torn	0
3	An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance 2024 ·Monthly Weather Review ·Minghua Zheng, Ryan D. Torn, Luca Delle Monache, James D. Doyle, F. Martin Ralph, Vijay Tallapragada, Christopher A. Davis, Daniel F. Steinhoff, Xingren Wu, Anna M. Wilson, (unknown), Patrick Mulrooney	4
4	Unusual tracks: Statistical, controlling factors and model prediction 2023 ·SHILAP Revista de lepidopterología ·Ying Li, Julian Heming, Ryan D. Torn, (unknown), (unknown), (unknown)	0
5	Advancing Atmospheric River Science and Inspiring Future Development of the Atmospheric River Reconnaissance Program 2023 ·Bulletin of the American Meteorological Society ·David A. Lavers, Anna M. Wilson, F. Martin Ralph, Vijay Tallapragada, Florian Pappenberger, Carolyn A. Reynolds, James D. Doyle, Luca Delle Monache, (unknown), Aneesh C. Subramanian, Ryan D. Torn, Jason M. Cordeira, Luca Centurioni, Jennifer S. Haase	7
6	Forecast evaluation of the North Pacific jet stream using AR Recon dropwindsondes 2023 ·Quarterly Journal of the Royal Meteorological Society ·David A. Lavers, Ryan D. Torn, Chris Davis, David Richardson, F. Martin Ralph, Florian Pappenberger	5
7	A Tale of Two Vortex Evolutions: Using a High-Resolution Ensemble to Assess the Impacts of Ventilation on a Tropical Cyclone Rapid Intensification Event 2022 ·Monthly Weather Review ·Michael S. Fischer, Paul D. Reasor, Brian H. Tang, Kristen L. Corbosiero, Ryan D. Torn, Xiaomin Chen	18
8	An Analog Comparison between Rapidly and Slowly Intensifying Tropical Cyclones 2022 ·Monthly Weather Review ·(unknown), Ryan D. Torn, Brian H. Tang	14
9	Validation of HWRF-based Probabilistic TC Wind and Precipitation forecasts 2021 ·Weather and Forecasting ·(unknown), Ryan D. Torn	7
10	Sensitivity of Forecast Uncertainty to Different Microphysics Schemes within a Convection-Allowing Ensemble during SoWMEX-IOP8 2021 ·Monthly Weather Review ·Chin-Hung Chen, (unknown), Shu‐Chih Yang, Li‐Hsin Chen, Pay‐Liam Lin, Ryan D. Torn	5
11	Process-Based Evaluation of Stochastic Perturbed Microphysics Parameterization Tendencies on Ensemble Forecasts of Heavy Rainfall Events 2021 ·Monthly Weather Review ·(unknown), Ryan D. Torn, (unknown)	1
12	A Feature-Based Approach to Classifying Summertime Potential Vorticity Streamers Linked to Rossby Wave Breaking in the North Atlantic Basin 2020 ·Journal of Climate ·(unknown), Lance F. Bosart, Ryan D. Torn	25
13	Ensemble Variability in Rainfall Forecasts of Hurricane Irene (2011) 2020 ·Weather and Forecasting ·(unknown), Ryan D. Torn, Kristen L. Corbosiero, Philip Pegion	5
14	The Impact of Initial Condition and Warm Conveyor Belt Forecast Uncertainty on Variability in the Downstream Waveguide in an ECWMF Case Study 2019 ·Monthly Weather Review ·(unknown), Ryan D. Torn	31
15	A Climatology of Central American Gyres 2017 ·Monthly Weather Review ·(unknown), Lance F. Bosart, Ryan D. Torn	14
16	Diagnosis of the Source and Evolution of Medium-Range Forecast Errors for Extratropical Cyclone Joachim 2016 ·Weather and Forecasting ·(unknown), Ryan D. Torn, Lance F. Bosart, Linus Magnusson	22
17	Modeling the effects of dust‐radiative forcing on the movement of Hurricane Helene (2006) 2015 ·Quarterly Journal of the Royal Meteorological Society ·Shu‐Hua Chen, (unknown), Terrence R. Nathan, Christopher A. Davis, Ryan D. Torn, (unknown), Chao‐Tzuen Cheng, Jen‐Ping Chen	23
18	Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis 2014 ·Weather and Forecasting ·Sharanya J. Majumdar, Ryan D. Torn	21
19	Performance of a Mesoscale Ensemble Kalman Filter (EnKF) during the NOAA High-Resolution Hurricane Test 2010 ·Monthly Weather Review ·Ryan D. Torn	84
20	Surface Tensions and Surface Segregation of n-Butanol in Sulfuric Acid 2002 ·The Journal of Physical Chemistry B ·Ryan D. Torn, Gilbert M. Nathanson	26

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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