D. S. Henn

882 total citations
22 papers, 697 citations indexed

About

D. S. Henn is a scholar working on Computational Mechanics, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, D. S. Henn has authored 22 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Environmental Engineering and 7 papers in Atmospheric Science. Recurrent topics in D. S. Henn's work include Wind and Air Flow Studies (13 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Meteorological Phenomena and Simulations (4 papers). D. S. Henn is often cited by papers focused on Wind and Air Flow Studies (13 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Meteorological Phenomena and Simulations (4 papers). D. S. Henn collaborates with scholars based in United States. D. S. Henn's co-authors include R. I. Sykes, W. S. Lewellen, S. F. Parker, Thomas T. Warner, Gregory C. Dodd, James Bowers, Rong‐Shyang Sheu, Prakash Karamchandani, Eladio Knipping and Naresh Kumar and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Hazardous Materials and Journal of the Atmospheric Sciences.

In The Last Decade

D. S. Henn

21 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. S. Henn United States 14 403 369 270 265 86 22 697
Robert E. Lawson United States 13 298 0.7× 487 1.3× 145 0.5× 160 0.6× 83 1.0× 29 690
N. E. Busch United States 10 323 0.8× 317 0.9× 213 0.8× 252 1.0× 29 0.3× 15 659
Marcus Oliver Letzel Germany 10 545 1.4× 817 2.2× 314 1.2× 516 1.9× 105 1.2× 17 1.2k
Micha Gryschka Germany 9 407 1.0× 465 1.3× 137 0.5× 308 1.2× 77 0.9× 13 766
Daniela Cava Italy 21 533 1.3× 449 1.2× 386 1.4× 754 2.8× 37 0.4× 44 1.0k
Klaus Ketelsen Germany 5 280 0.7× 304 0.8× 106 0.4× 248 0.9× 64 0.7× 8 574
F. A. Gifford United States 13 349 0.9× 427 1.2× 95 0.4× 290 1.1× 171 2.0× 34 771
U. Giostra Italy 21 525 1.3× 487 1.3× 320 1.2× 511 1.9× 143 1.7× 47 936
David G. Strimaitis United States 8 312 0.8× 431 1.2× 59 0.2× 200 0.8× 118 1.4× 20 691
Gary A. Briggs United States 13 301 0.7× 400 1.1× 105 0.4× 156 0.6× 108 1.3× 26 566

Countries citing papers authored by D. S. Henn

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Henn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. S. Henn

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Henn. A scholar is included among the top collaborators of D. S. Henn 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 D. S. Henn. D. S. Henn 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.
Karamchandani, Prakash, D. S. Henn, Greg Yarwood, et al.. (2020). Single source impacts on secondary pollutants using a Lagrangian reactive puff model: Comparison with photochemical grid models. Atmospheric Environment. 237. 117664–117664. 3 indexed citations
2.
Karamchandani, Prakash, et al.. (2015). Reactive puff model SCICHEM: Model enhancements and performance studies. Atmospheric Environment. 117. 242–258. 14 indexed citations
3.
Warner, Thomas T., Rong‐Shyang Sheu, James Bowers, et al.. (2002). Ensemble Simulations with Coupled Atmospheric Dynamic and Dispersion Models: Illustrating Uncertainties in Dosage Simulations. Journal of Applied Meteorology. 41(5). 488–504. 35 indexed citations
4.
Henn, D. S. & R. I. Sykes. (1999). Large-eddy simulation of flow over wavy surfaces. Journal of Fluid Mechanics. 383. 75–112. 124 indexed citations
5.
Sykes, R. I., et al.. (1999). The representation of dynamic flow effects in a Lagrangian puff dispersion model. Journal of Hazardous Materials. 64(3). 223–247. 23 indexed citations
6.
Sykes, R. I., et al.. (1995). A Multifractal Representation of the Small-Scale Structure in a Turbulent Plume. Journal of Applied Meteorology. 34(10). 2294–2305. 2 indexed citations
7.
Sykes, R. I. & D. S. Henn. (1995). Representation of Velocity Gradient Effects in a Gaussian Puff Model. Journal of Applied Meteorology. 34(12). 2715–2723. 26 indexed citations
8.
Sykes, R. I., D. S. Henn, & W. S. Lewellen. (1993). Surface‐layer description under free‐convection conditions. Quarterly Journal of the Royal Meteorological Society. 119(511). 409–421. 38 indexed citations
9.
Sykes, R. I., S. F. Parker, D. S. Henn, & W. S. Lewellen. (1993). Numerical Simulation of ANATEX Tracer Data Using a Turbulence Closure Model for Long-Range Dispersion. Journal of Applied Meteorology. 32(5). 929–947. 37 indexed citations
10.
Sykes, R. I. & D. S. Henn. (1992). An Improved Moment Conservation Method for the Advection-Diffusion Equation. Journal of Applied Meteorology. 31(1). 112–118. 6 indexed citations
11.
Sykes, R. I., D. S. Henn, S. F. Parker, & W. S. Lewellen. (1992). Large-eddy simulation of a turbulent reacting plume. Atmospheric Environment Part A General Topics. 26(14). 2565–2574. 46 indexed citations
12.
Henn, D. S. & R. I. Sykes. (1992). Large-eddy simulation of dispersion in the convective boundary layer. Atmospheric Environment Part A General Topics. 26(17). 3145–3159. 40 indexed citations
13.
Sykes, R. I. & D. S. Henn. (1992). Large-eddy simulation of concentration fluctuations in a dispersing plume. Atmospheric Environment Part A General Topics. 26(17). 3127–3144. 49 indexed citations
14.
Sykes, R. I., W. S. Lewellen, & D. S. Henn. (1990). Numerical Simulation of the Boundary-Layer Eddy Structureduring the Cold-Air Outbreak of GALE IOP 2. Monthly Weather Review. 118(2). 363–374. 24 indexed citations
15.
Sykes, R. I., W. S. Lewellen, S. F. Parker, & D. S. Henn. (1989). A hierarchy of dynamic plume models incorporating uncertainty: Volume 4, Second-order closure integrated puff: Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations
16.
Sykes, R. I., W. S. Lewellen, S. F. Parker, & D. S. Henn. (1989). A hierarchy of dynamic plume models incorporating uncertainty: Volume 3, Second-Order Closure Integrated Model Plume (SCIMP): Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
17.
Sykes, R. I. & D. S. Henn. (1989). Large-Eddy Simulation of Turbulent Sheared Convection. Journal of the Atmospheric Sciences. 46(8). 1106–1118. 110 indexed citations
18.
Sykes, R. I. & D. S. Henn. (1988). On the Numerical Computation of Two-Dimensional Convective Flow. Journal of the Atmospheric Sciences. 45(13). 1961–1964. 6 indexed citations
19.
Sykes, R. I., W. S. Lewellen, & D. S. Henn. (1988). A Numerical Study of the Development of Claud-Street Spacing. Journal of the Atmospheric Sciences. 45(18). 2556–2570. 35 indexed citations
20.
Sykes, R. I., W. S. Lewellen, & D. S. Henn. (1988). Large eddy simulation of concentration fluctuations. 8–11. 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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