David M. Romps

4.9k total citations · 1 hit paper
77 papers, 3.2k citations indexed

About

David M. Romps is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, David M. Romps has authored 77 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 56 papers in Atmospheric Science and 10 papers in Environmental Engineering. Recurrent topics in David M. Romps's work include Meteorological Phenomena and Simulations (44 papers), Climate variability and models (34 papers) and Atmospheric aerosols and clouds (22 papers). David M. Romps is often cited by papers focused on Meteorological Phenomena and Simulations (44 papers), Climate variability and models (34 papers) and Atmospheric aerosols and clouds (22 papers). David M. Romps collaborates with scholars based in United States, United Kingdom and China. David M. Romps's co-authors include Jacob T. Seeley, Zhiming Kuang, Nadir Jeevanjee, David Vollaro, John Molinari, Wolfgang Langhans, Ruşen Öktem, Caroline Müller, Kyongmin Yeo and Peter N. Blossey and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David M. Romps

76 papers receiving 3.2k citations

Hit Papers

Projected increase in lig... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Romps 2.7k 2.6k 304 282 179 77 3.2k
John Edwards 3.4k 1.2× 3.4k 1.3× 512 1.7× 137 0.5× 362 2.0× 64 4.1k
Évelyne Richard 2.6k 1.0× 2.7k 1.1× 512 1.7× 196 0.7× 294 1.6× 88 3.2k
Luiz A. T. Machado 2.9k 1.1× 2.7k 1.1× 303 1.0× 244 0.9× 248 1.4× 132 3.7k
João Teixeira 2.1k 0.8× 1.8k 0.7× 418 1.4× 63 0.2× 241 1.3× 67 2.6k
David B. Parsons 4.4k 1.6× 4.2k 1.6× 428 1.4× 197 0.7× 530 3.0× 74 5.2k
Gunilla Svensson 3.0k 1.1× 3.6k 1.4× 596 2.0× 68 0.2× 319 1.8× 100 4.1k
Robert G. Fovell 2.3k 0.9× 2.6k 1.0× 425 1.4× 238 0.8× 468 2.6× 75 3.2k
Véronique Ducrocq 3.2k 1.2× 3.1k 1.2× 464 1.5× 284 1.0× 615 3.4× 109 4.1k
Vaughan T. J. Phillips 3.3k 1.2× 3.4k 1.3× 162 0.5× 207 0.7× 78 0.4× 86 3.8k
Courtney Schumacher 3.2k 1.2× 3.5k 1.3× 273 0.9× 132 0.5× 596 3.3× 78 3.9k

Countries citing papers authored by David M. Romps

Since Specialization
Citations

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

Fields of papers citing papers by David M. Romps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Romps. 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 David M. Romps. The network helps show where David M. Romps may publish in the future.

Co-authorship network of co-authors of David M. Romps

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Romps. A scholar is included among the top collaborators of David M. Romps 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 David M. Romps. David M. Romps 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.
Romps, David M., et al.. (2023). Is a wet-bulb temperature of 35 C the correct threshold for human survivability?. Environmental Research Letters. 18(9). 94021–94021. 24 indexed citations
2.
Negrón‐Juárez, Robinson, et al.. (2023). Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Nature Communications. 14(1). 101–101. 25 indexed citations
3.
Romps, David M., Qindan Zhu, Christoph Mahnke, et al.. (2023). Air Pollution Unable to Intensify Storms via Warm‐Phase Invigoration. Geophysical Research Letters. 50(2). 12 indexed citations
4.
Bloch‐Johnson, Jonah, et al.. (2021). Evolving CO2 Rather Than SST Leads to a Factor of Ten Decrease in GCM Convergence Time. Journal of Advances in Modeling Earth Systems. 13(11). e2021MS002505–e2021MS002505. 5 indexed citations
5.
Williams, Christopher R., Karen Johnson, Scott Giangrande, et al.. (2021). Identifying insects, clouds, and precipitation using vertically pointing polarimetric radar Doppler velocity spectra. Atmospheric measurement techniques. 14(6). 4425–4444. 6 indexed citations
7.
Romps, David M., et al.. (2021). A Closure for the Virtual Origin of Turbulent Plumes. Journal of the Atmospheric Sciences. 79(5). 1459–1471. 2 indexed citations
8.
Romps, David M.. (2021). Accurate Expressions for the Dewpoint and Frost Point Derived from the Rankine–Kirchhoff Approximations. Journal of the Atmospheric Sciences. 78(7). 2113–2116. 7 indexed citations
9.
Seeley, Jacob T., Nadir Jeevanjee, & David M. Romps. (2019). FAT or FiTT: Are Anvil Clouds or the Tropopause Temperature Invariant?. Geophysical Research Letters. 46(3). 1842–1850. 42 indexed citations
10.
Endo, Satoshi, Damao Zhang, Andrew M. Vogelmann, et al.. (2019). Reconciling Differences Between Large‐Eddy Simulations and Doppler Lidar Observations of Continental Shallow Cumulus Cloud‐Base Vertical Velocity. Geophysical Research Letters. 46(20). 11539–11547. 19 indexed citations
11.
Seeley, Jacob T., Nadir Jeevanjee, Wolfgang Langhans, & David M. Romps. (2019). Formation of Tropical Anvil Clouds by Slow Evaporation. Geophysical Research Letters. 46(1). 492–501. 47 indexed citations
12.
Romps, David M., et al.. (2018). CAPE Times P Explains Lightning Over Land But Not the Land‐Ocean Contrast. Geophysical Research Letters. 45(22). 56 indexed citations
13.
Wright, Jonathon S., et al.. (2018). On the Utility (or Futility) of Using Stable Water Isotopes to Constrain the Bulk Properties of Tropical Convection. Journal of Advances in Modeling Earth Systems. 10(2). 516–529. 4 indexed citations
14.
Jeevanjee, Nadir & David M. Romps. (2018). Mean precipitation change from a deepening troposphere. Proceedings of the National Academy of Sciences. 115(45). 11465–11470. 64 indexed citations
15.
Romps, David M. & Ruşen Öktem. (2018). Observing Clouds in 4D with Multiview Stereophotogrammetry. Bulletin of the American Meteorological Society. 99(12). 2575–2586. 18 indexed citations
16.
Romps, David M.. (2016). The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection. Journal of Advances in Modeling Earth Systems. 8(1). 319–344. 29 indexed citations
17.
Romps, David M., Jacob T. Seeley, David Vollaro, & John Molinari. (2014). Projected Increase in Lightning Strikes in the United States Due to Global Warming. 2014 AGU Fall Meeting. 2014. 2 indexed citations
18.
Langhans, Wolfgang, Kyongmin Yeo, & David M. Romps. (2014). Lagrangian Investigation of the Precipitation Efficiency of Convective Clouds. Journal of the Atmospheric Sciences. 72(3). 1045–1062. 27 indexed citations
19.
Öktem, Ruşen & David M. Romps. (2013). Observing Vertical Motion of Deep Convective Clouds by Stereo Photogrammetry. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
20.
Romps, David M. & Zhiming Kuang. (2009). Nature versus Nurture in Shallow Convection. Journal of the Atmospheric Sciences. 67(5). 1655–1666. 90 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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