David A. Schecter

2.1k total citations · 1 hit paper
47 papers, 1.6k citations indexed

About

David A. Schecter is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David A. Schecter has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 15 papers in Oceanography. Recurrent topics in David A. Schecter's work include Tropical and Extratropical Cyclones Research (25 papers), Climate variability and models (18 papers) and Meteorological Phenomena and Simulations (17 papers). David A. Schecter is often cited by papers focused on Tropical and Extratropical Cyclones Research (25 papers), Climate variability and models (18 papers) and Meteorological Phenomena and Simulations (17 papers). David A. Schecter collaborates with scholars based in United States and Canada. David A. Schecter's co-authors include Michael T. Montgomery, D. H. E. Dubin, Satya N. Majumdar, S. N. Coppersmith, Onuttom Narayan, Thomas A. Witten, Sidney R. Nagel, C. F. Driscoll, T. M. O’Neil and Paul D. Reasor and has published in prestigious journals such as Science, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

David A. Schecter

45 papers receiving 1.6k citations

Hit Papers

Force Fluctuations in Bead Packs 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Schecter United States 20 708 599 431 383 228 47 1.6k
Marc Rabaud France 30 175 0.2× 1.5k 2.5× 292 0.7× 78 0.2× 174 0.8× 58 2.5k
Marius Ungarish Israel 22 449 0.6× 582 1.0× 400 0.9× 43 0.1× 57 0.3× 131 1.9k
B. Gjevik Norway 20 596 0.8× 333 0.6× 639 1.5× 249 0.7× 16 0.1× 59 1.4k
Kung‐Hau Ding United States 16 836 1.2× 81 0.1× 219 0.5× 205 0.5× 30 0.1× 43 2.5k
Stéphane Le Dizès France 25 339 0.5× 1.4k 2.3× 373 0.9× 75 0.2× 503 2.2× 83 2.1k
Michael H. Meylan Australia 37 2.1k 2.9× 1.2k 2.1× 1.5k 3.6× 56 0.1× 28 0.1× 187 4.3k
J. B. Johnson United States 31 462 0.7× 37 0.1× 136 0.3× 126 0.3× 182 0.8× 107 3.1k
Michaël Berhanu France 20 165 0.2× 295 0.5× 243 0.6× 42 0.1× 465 2.0× 50 1.2k
Stefano Dietrich Italy 25 1.3k 1.8× 83 0.1× 95 0.2× 738 1.9× 159 0.7× 111 1.8k
Stefan G. Llewellyn Smith United States 25 704 1.0× 575 1.0× 1.1k 2.5× 400 1.0× 128 0.6× 111 2.1k

Countries citing papers authored by David A. Schecter

Since Specialization
Citations

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

Fields of papers citing papers by David A. Schecter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Schecter

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Schecter. A scholar is included among the top collaborators of David A. Schecter 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 A. Schecter. David A. Schecter 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.
Schecter, David A.. (2023). Intensification Rates of Tropical Cyclone–Like Vortices in a Model with Downtilt Diabatic Forcing and Oceanic Surface Drag. Journal of the Atmospheric Sciences. 80(7). 1787–1814. 3 indexed citations
2.
Schecter, David A.. (2021). Intensification of Tilted Tropical Cyclones over Relatively Cool and Warm Oceans in Idealized Numerical Simulations. Journal of the Atmospheric Sciences. 79(2). 485–512. 21 indexed citations
3.
Schecter, David A.. (2018). On the instabilities of tropical cyclones generated by cloud resolving models. Tellus A Dynamic Meteorology and Oceanography. 70(1). 1525245–1525245. 4 indexed citations
4.
Schecter, David A.. (2015). Development and Nondevelopment of Binary Mesoscale Vortices into Tropical Cyclones in Idealized Numerical Experiments. Journal of the Atmospheric Sciences. 73(3). 1223–1254. 8 indexed citations
5.
Schecter, David A.. (2011). A Brief Critique of a Theory Used to Interpret the Infrasound of Tornadic Thunderstorms. Monthly Weather Review. 140(7). 2080–2089. 10 indexed citations
6.
Schecter, David A.. (2010). Hurricane intensity in the Ooyama (1969) paradigm. Quarterly Journal of the Royal Meteorological Society. 136(652). 1920–1926. 3 indexed citations
7.
Schecter, David A. & Melville E. Nicholls. (2009). Generation of Infrasound by Evaporating Hydrometeors in a Cloud Model. Journal of Applied Meteorology and Climatology. 49(4). 664–675. 8 indexed citations
8.
Schecter, David A. & Timothy J. Dunkerton. (2009). Hurricane formation in diabatic Ekman turbulence. Quarterly Journal of the Royal Meteorological Society. 135(641). 823–838. 27 indexed citations
9.
Schecter, David A. & Michael T. Montgomery. (2006). Conditions That Inhibit the Spontaneous Radiation of Spiral Inertia–Gravity Waves from an Intense Mesoscale Cyclone. Journal of the Atmospheric Sciences. 63(2). 435–456. 53 indexed citations
10.
Schecter, David A. & Michael T. Montgomery. (2004). Damping and pumping of a vortex Rossby wave in a monotonic cyclone: Critical layer stirring versus inertia–buoyancy wave emission. Physics of Fluids. 16(5). 1334–1348. 67 indexed citations
11.
Schecter, David A.. (2003). Maximum entropy theory and the rapid relaxation of three-dimensional quasi-geostrophic turbulence. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 66309–66309. 3 indexed citations
12.
Schecter, David A. & Michael T. Montgomery. (2003). On the symmetrization rate of an intense geophysical vortex. Dynamics of Atmospheres and Oceans. 37(1). 55–88. 51 indexed citations
13.
Schecter, David A., John Boyd, & Peter A. Gilman. (2001). “Shallow-Water” Magnetohydrodynamic Waves in the Solar Tachocline. The Astrophysical Journal. 551(2). L185–L188. 45 indexed citations
14.
Schecter, David A., et al.. (2000). Inviscid damping of asymmetries on a two-dimensional vortex. Physics of Fluids. 12(10). 2397–2412. 104 indexed citations
15.
Driscoll, C. F., Dezhe Z. Jin, David A. Schecter, Éric Moreau, & D. H. E. Dubin. (2000). Dynamics, Statistics and Vortex Crystals in the Relaxation of 2D Turbulence. Physica Scripta. T84(1). 76–76. 4 indexed citations
16.
Schecter, David A.. (1999). On the dynamics of inviscid relaxation in 2D fluids and nonneutral plasmas. PhDT. 5586. 4 indexed citations
17.
Driscoll, C. F., et al.. (1999). Relaxation of 2D turbulence of vortex crystals. Physica A Statistical Mechanics and its Applications. 263(1-4). 284–292. 9 indexed citations
18.
O’Neil, T. M., et al.. (1997). A Theory of Vortex Merger. Physical Review Letters. 79(8). 1479–1482. 29 indexed citations
19.
Schecter, David A. & D. H. E. Dubin. (1996). Dynamics of a Single Vortex in a Nonneutral Plasma.. APS. 1 indexed citations
20.
O’Neil, T. M., et al.. (1996). A Theory of Vortex Merger.. APS Division of Plasma Physics Meeting Abstracts. 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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