Karen Kosiba

2.2k total citations
46 papers, 1.4k citations indexed

About

Karen Kosiba is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Karen Kosiba has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Karen Kosiba's work include Meteorological Phenomena and Simulations (43 papers), Tropical and Extratropical Cyclones Research (24 papers) and Climate variability and models (16 papers). Karen Kosiba is often cited by papers focused on Meteorological Phenomena and Simulations (43 papers), Tropical and Extratropical Cyclones Research (24 papers) and Climate variability and models (16 papers). Karen Kosiba collaborates with scholars based in United States, Canada and China. Karen Kosiba's co-authors include Joshua Wurman, Paul Robinson, Yvette Richardson, Paul Markowski, James Marquis, David C. Dowell, Robert J. Trapp, Erik N. Rasmussen, Robert Davies-Jones and Forrest J. Masters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Karen Kosiba

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Kosiba United States 23 1.2k 707 490 153 88 46 1.4k
Enric Terradellas Spain 14 881 0.7× 747 1.1× 557 1.1× 252 1.6× 49 0.6× 31 1.1k
Ivana Stiperski Austria 20 928 0.8× 710 1.0× 479 1.0× 188 1.2× 41 0.5× 45 1.1k
Christian Barthlott Germany 22 1.1k 0.9× 1.1k 1.6× 237 0.5× 82 0.5× 32 0.4× 49 1.3k
P. Mascart France 12 1.3k 1.0× 1.2k 1.7× 322 0.7× 95 0.6× 105 1.2× 17 1.5k
S. H. Derbyshire United Kingdom 14 1.1k 0.9× 886 1.3× 425 0.9× 304 2.0× 98 1.1× 21 1.2k
Dieter Etling Germany 14 750 0.6× 517 0.7× 389 0.8× 268 1.8× 256 2.9× 30 1.1k
Nolan T. Atkins United States 21 1.5k 1.2× 1.1k 1.6× 360 0.7× 66 0.4× 122 1.4× 30 1.6k
Matthew S. Mason Australia 14 443 0.4× 226 0.3× 349 0.7× 150 1.0× 158 1.8× 45 713
Gerhard Peters Germany 14 772 0.6× 622 0.9× 253 0.5× 45 0.3× 89 1.0× 49 982
J. P. Lafore France 3 779 0.6× 740 1.0× 171 0.3× 45 0.3× 113 1.3× 3 950

Countries citing papers authored by Karen Kosiba

Since Specialization
Citations

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

Fields of papers citing papers by Karen Kosiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Kosiba

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Kosiba. A scholar is included among the top collaborators of Karen Kosiba 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 Karen Kosiba. Karen Kosiba 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.
Lombardo, Franklin T., et al.. (2024). Properties of Tornado Wind Speed Profiles Used in the Development of the ASCE 7-22 Tornado Provisions. Journal of Structural Engineering. 151(1).
2.
Juliano, Timothy W., Neil P. Lareau, Maria Frediani, et al.. (2023). Toward a Better Understanding of Wildfire Behavior in the Wildland‐Urban Interface: A Case Study of the 2021 Marshall Fire. Geophysical Research Letters. 50(10). 17 indexed citations
3.
Kosiba, Karen & Joshua Wurman. (2023). The strongest winds in tornadoes are very near the ground. Communications Earth & Environment. 4(1). 11 indexed citations
4.
Minder, Justin R., Frédéric Fabry, Jeffrey R. French, et al.. (2023). P-Type Processes and Predictability: The Winter Precipitation Type Research Multiscale Experiment (WINTRE-MIX). Bulletin of the American Meteorological Society. 104(8). E1469–E1492. 10 indexed citations
5.
Chan, Pak Wai, K. K. Hon, Paul Robinson, et al.. (2022). Analysis and numerical simulation of a supercell tornado at the Hong Kong adjacent waters. Meteorological Applications. 29(2). 5 indexed citations
6.
Wurman, Joshua, et al.. (2021). Supercell tornadoes are much stronger and wider than damage-based ratings indicate. Proceedings of the National Academy of Sciences. 118(14). 24 indexed citations
7.
Wurman, Joshua, et al.. (2021). The Flexible Array of Radars and Mesonets (FARM). Bulletin of the American Meteorological Society. 102(8). E1499–E1525. 15 indexed citations
8.
Kosiba, Karen, et al.. (2019). Ontario Winter Lake-effect Systems (OWLeS): Bulk Characteristics and Kinematic Evolution of Misovortices in Long-Lake-Axis-Parallel Snowbands. Monthly Weather Review. 148(1). 131–157. 2 indexed citations
9.
Mulholland, Jake P., et al.. (2017). Observations of Misovortices within a Long-Lake-Axis-Parallel Lake-Effect Snowband during the OWLeS Project. Monthly Weather Review. 145(8). 3265–3291. 11 indexed citations
10.
Weiss, Christopher C., Anthony E. Reinhart, Jeffrey C. Snyder, et al.. (2017). In Situ and Radar Observations of the Low Reflectivity Ribbon in Supercells during VORTEX2. Monthly Weather Review. 146(1). 307–327. 3 indexed citations
11.
Kosiba, Karen. (2016). The TWIRL (Tornado Winds from In-situ and Radars at Low-level) Project. 2 indexed citations
12.
13.
Bell, Michael M., et al.. (2015). The Hawaiian Educational Radar Opportunity (HERO). Bulletin of the American Meteorological Society. 96(12). 2167–2181. 6 indexed citations
14.
Kosiba, Karen & Joshua Wurman. (2014). Finescale Dual-Doppler Analysis of Hurricane Boundary Layer Structures in Hurricane Frances (2004) at Landfall. Monthly Weather Review. 142(5). 1874–1891. 38 indexed citations
15.
Steiger, Scott M., et al.. (2013). Circulations, Bounded Weak Echo Regions, and Horizontal Vortices Observed within Long-Lake-Axis-Parallel–Lake-Effect Storms by the Doppler on Wheels*. Monthly Weather Review. 141(8). 2821–2840. 41 indexed citations
16.
Kosiba, Karen, Joshua Wurman, Forrest J. Masters, & Paul Robinson. (2013). Mapping of Near-Surface Winds in Hurricane Rita Using Finescale Radar, Anemometer, and Land-Use Data. Monthly Weather Review. 141(12). 4337–4349. 30 indexed citations
17.
Kosiba, Karen. (2012). Mobile radar observations and damage assessment of the 24 May 2011, Canton Lake, OK tornado. 1 indexed citations
18.
Chan, Pak Wai, Joshua Wurman, C. M. Shun, Paul Robinson, & Karen Kosiba. (2011). Application of a method for the automatic detection and Ground-Based Velocity Track Display (GBVTD) analysis of a tornado crossing the Hong Kong International Airport. Atmospheric Research. 106. 18–29. 6 indexed citations
19.
Kosiba, Karen, et al.. (2010). Fine-scale radar observations of boundary layer structures in landfalling hurricanes. EGUGA. 13908. 1 indexed citations
20.
Kosiba, Karen. (2009). A comparison of radar observations to real data simulations of axisymmetric tornadoes. Purdue e-Pubs (Purdue University System). 1 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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