Michael C. Coniglio

4.6k total citations
69 papers, 3.0k citations indexed

About

Michael C. Coniglio is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Michael C. Coniglio has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atmospheric Science, 58 papers in Global and Planetary Change and 19 papers in Environmental Engineering. Recurrent topics in Michael C. Coniglio's work include Meteorological Phenomena and Simulations (64 papers), Climate variability and models (57 papers) and Tropical and Extratropical Cyclones Research (31 papers). Michael C. Coniglio is often cited by papers focused on Meteorological Phenomena and Simulations (64 papers), Climate variability and models (57 papers) and Tropical and Extratropical Cyclones Research (31 papers). Michael C. Coniglio collaborates with scholars based in United States, United Kingdom and Netherlands. Michael C. Coniglio's co-authors include David J. Stensrud, John S. Kain, Fanyou Kong, Steven J. Weiss, Ming Xue, Ariel Cohen, Harold E. Brooks, Stephen F. Corfidi, David R. Bright and Steven M. Cavallo and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Michael C. Coniglio

63 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Coniglio United States 30 2.8k 2.6k 544 91 70 69 3.0k
Craig S. Schwartz United States 29 3.0k 1.0× 2.8k 1.0× 439 0.8× 87 1.0× 28 0.4× 64 3.1k
David E. Kingsmill United States 28 2.4k 0.8× 1.8k 0.7× 329 0.6× 193 2.1× 59 0.8× 54 2.6k
John D. Tuttle United States 26 2.3k 0.8× 2.0k 0.7× 248 0.5× 208 2.3× 115 1.6× 42 2.5k
Frederick H. Carr United States 16 1.2k 0.4× 1.1k 0.4× 315 0.6× 105 1.2× 51 0.7× 32 1.4k
Suzanne L. Gray United Kingdom 35 2.8k 1.0× 2.6k 1.0× 243 0.4× 405 4.5× 64 0.9× 122 3.0k
Cathy Hohenegger Germany 29 2.7k 1.0× 2.7k 1.0× 306 0.6× 234 2.6× 34 0.5× 81 3.0k
Sylvie Malardel France 13 1.1k 0.4× 980 0.4× 249 0.5× 214 2.4× 58 0.8× 25 1.3k
Richard E. Carbone United States 32 3.2k 1.1× 2.9k 1.1× 299 0.5× 313 3.4× 102 1.5× 63 3.4k
Humphrey Lean United Kingdom 20 2.4k 0.8× 2.3k 0.9× 405 0.7× 88 1.0× 38 0.5× 52 2.6k
Yvette Richardson United States 29 3.0k 1.1× 2.3k 0.9× 861 1.6× 111 1.2× 140 2.0× 66 3.2k

Countries citing papers authored by Michael C. Coniglio

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Coniglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Coniglio. 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 Michael C. Coniglio. The network helps show where Michael C. Coniglio may publish in the future.

Co-authorship network of co-authors of Michael C. Coniglio

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Coniglio. A scholar is included among the top collaborators of Michael C. Coniglio 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 Michael C. Coniglio. Michael C. Coniglio 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.
Wagner, Melissa, et al.. (2024). Harnessing UAS and High-Resolution Satellite Imagery to Better Characterize Wind Damage and Understand Tornado Behavior. Bulletin of the American Meteorological Society. 106(3). E492–E508.
2.
3.
Wilson, Matthew B., Adam L. Houston, Conrad L. Ziegler, et al.. (2023). Environmental and Storm-Scale Controls on Close Proximity Supercells Observed by TORUS on 8 June 2019. Monthly Weather Review. 151(12). 3013–3035. 3 indexed citations
4.
Wagner, Melissa, Chuyuan Wang, Erik N. Rasmussen, et al.. (2021). High-resolution observations of microscale influences on a tornado track using Unpiloted Aerial Systems (UAS). Monthly Weather Review. 5 indexed citations
5.
Coniglio, Michael C., et al.. (2020). Modes of Storm-Scale Variability and Tornado Potential in VORTEX2 Near- and Far-Field Tornadic Environments. Monthly Weather Review. 148(10). 4185–4207. 34 indexed citations
6.
Coniglio, Michael C., et al.. (2018). Comparison of Near- and Far-Field Supercell Inflow Environments Using Radiosonde Observations. Monthly Weather Review. 146(8). 2403–2415. 35 indexed citations
7.
Coniglio, Michael C., et al.. (2016). Impact of MPEX Upsonde Observations on Ensemble Analyses and Forecasts of the 31 May 2013 Convective Event over Oklahoma. Monthly Weather Review. 144(8). 2889–2913. 16 indexed citations
8.
Trapp, Robert J., David J. Stensrud, Michael C. Coniglio, et al.. (2015). Mobile Radiosonde Deployments during the Mesoscale Predictability Experiment (MPEX): Rapid and Adaptive Sampling of Upscale Convective Feedbacks. Bulletin of the American Meteorological Society. 97(3). 329–336. 19 indexed citations
9.
Jirak, Israel L., Michael C. Coniglio, Adam J. Clark, et al.. (2014). 46 AN OVERVIEW OF THE 2014 NOAA HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT. 6 indexed citations
10.
Coniglio, Michael C.. (2014). Evaluation of One-Hour Probabilistic Severe Weather Forecasts Issued during the 2014 NOAA Hazardous Weather Testbed Spring Forecasting Experiment.
11.
VandenBerg, Michael A., Michael C. Coniglio, & Adam J. Clark. (2014). Comparison of Next-Day Convection-Allowing Forecasts of Storm motion on 1- and 4-km Grids. Weather and Forecasting. 29(4). 878–893. 27 indexed citations
12.
Stensrud, David J., Louis J. Wicker, Ming Xue, et al.. (2012). Progress and challenges with Warn-on-Forecast. Atmospheric Research. 123. 2–16. 173 indexed citations
13.
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
14.
Coniglio, Michael C., Stephen F. Corfidi, & John S. Kain. (2011). Views on Applying RKW Theory: An Illustration Using the 8 May 2009 Derecho-Producing Convective System. Monthly Weather Review. 140(3). 1023–1043. 47 indexed citations
15.
Levit, Jason J., Gregory W. Carbin, David R. Bright, et al.. (2008). P10.5 THE NOAA HAZARDOUS WEATHER TESTBED 2008 SPRING EXPERIMENT: TECHINCAL AND SCIENTIFIC CHALLENGES OF CREATING A DATA VISUALIZATION ENVIRONMENT FOR STORM- SCALE DETERMINISTIC AND ENSEMBLE FORECASTS. 2 indexed citations
16.
Stensrud, David J., Nusrat Yussouf, David C. Dowell, & Michael C. Coniglio. (2008). Assimilating surface data into a mesoscale model ensemble: Cold pool analyses from spring 2007. Atmospheric Research. 93(1-3). 207–220. 31 indexed citations
17.
Coniglio, Michael C.. (2006). Forecasting the maintenance of mesoscale convective systems. 1 indexed citations
18.
Coniglio, Michael C.. (2005). Use of proximity sounding parameters to improve the prediction of Mesoscale Convective system (MCS) speed and dissipation. 2 indexed citations
19.
Stensrud, David J., Michael C. Coniglio, Robert Davies-Jones, & Jeffry S. Evans. (2005). Comments on “‘A Theory for Strong Long-Lived Squall Lines’ Revisited”. Journal of the Atmospheric Sciences. 62(8). 2989–2996. 49 indexed citations
20.
Coniglio, Michael C. & David J. Stensrud. (2001). Simulation of a Progressive Derecho Using Composite Initial Conditions. Monthly Weather Review. 129(7). 1593–1616. 53 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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