D. M. Lewis

974 total citations
25 papers, 642 citations indexed

About

D. M. Lewis is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Oceanography. According to data from OpenAlex, D. M. Lewis has authored 25 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 6 papers in Health, Toxicology and Mutagenesis and 5 papers in Oceanography. Recurrent topics in D. M. Lewis's work include Wind and Air Flow Studies (9 papers), Air Quality and Health Impacts (6 papers) and Particle Dynamics in Fluid Flows (5 papers). D. M. Lewis is often cited by papers focused on Wind and Air Flow Studies (9 papers), Air Quality and Health Impacts (6 papers) and Particle Dynamics in Fluid Flows (5 papers). D. M. Lewis collaborates with scholars based in United Kingdom, Canada and United States. D. M. Lewis's co-authors include P. C. Chatwin, Jeff A. Polton, T. J. Pedley, Stephen E. Belcher, S. E. Belcher, P. J. Sullivan, Clifford G. Robinson, P. J. Broadbent, Adam T. Clare and Carl Hauser and has published in prestigious journals such as Limnology and Oceanography, Marine Ecology Progress Series and Journal of Theoretical Biology.

In The Last Decade

D. M. Lewis

23 papers receiving 603 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. M. Lewis United Kingdom 13 323 195 138 125 116 25 642
Elena Roget Spain 15 406 1.3× 208 1.1× 166 1.2× 44 0.4× 41 0.4× 43 595
Pierpaolo Falco Italy 16 580 1.8× 416 2.1× 272 2.0× 20 0.2× 19 0.2× 51 957
Burkard Baschek Germany 17 740 2.3× 291 1.5× 294 2.1× 23 0.2× 30 0.3× 44 910
Helmut Z. Baumert Germany 14 598 1.9× 400 2.1× 255 1.8× 41 0.3× 54 0.5× 26 829
Hartmut Prandke Germany 15 622 1.9× 300 1.5× 196 1.4× 27 0.2× 34 0.3× 25 758
Claire Trenham Australia 13 433 1.3× 453 2.3× 415 3.0× 19 0.2× 19 0.2× 27 826
Lars Petter Røed Norway 15 584 1.8× 592 3.0× 286 2.1× 33 0.3× 33 0.3× 39 912
Peter D. Craig Australia 11 1.1k 3.5× 611 3.1× 415 3.0× 34 0.3× 27 0.2× 17 1.3k
Riccardo Gerin Italy 16 696 2.2× 264 1.4× 277 2.0× 11 0.1× 11 0.1× 41 835
Tracy Haack United States 18 470 1.5× 705 3.6× 385 2.8× 60 0.5× 30 0.3× 45 960

Countries citing papers authored by D. M. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. M. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Lewis. A scholar is included among the top collaborators of D. M. Lewis 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. M. Lewis. D. M. Lewis 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.
Lewis, D. M., et al.. (2018). Large-eddy simulation of subsurface phytoplankton dynamics: an optimum condition for chlorophyll patchiness induced by Langmuir circulations. Marine Ecology Progress Series. 593. 15–27. 8 indexed citations
2.
3.
Hauser, Carl, et al.. (2007). Image Transformations and Printing of Plaster Layers in Spiral Growth Manufacturing. Texas Digital Library (University of Texas). 1 indexed citations
4.
Lewis, D. M., et al.. (2007). An examination of saltatory predation strategies employed by fish larvae foraging in a variety of different turbulent regimes. Marine Ecology Progress Series. 359. 261–274. 4 indexed citations
5.
Lewis, D. M., et al.. (2006). Plankton predation rates in turbulence: A study of the limitations imposed on a predator with a non-spherical field of sensory perception. Journal of Theoretical Biology. 242(1). 44–61. 21 indexed citations
6.
Lewis, D. M.. (2005). A simple model of plankton population dynamics coupled with a LES of the surface mixed layer. Journal of Theoretical Biology. 234(4). 565–591. 28 indexed citations
7.
Polton, Jeff A., D. M. Lewis, & Stephen E. Belcher. (2005). The Role of Wave-Induced Coriolis–Stokes Forcing on the Wind-Driven Mixed Layer. Journal of Physical Oceanography. 35(4). 444–457. 161 indexed citations
8.
Lewis, D. M. & S. E. Belcher. (2004). Time-dependent, coupled, Ekman boundary layer solutions incorporating Stokes drift. Dynamics of Atmospheres and Oceans. 37(4). 313–351. 90 indexed citations
9.
Lewis, D. M.. (2003). Planktonic encounter rates in homogeneous isotropic turbulence: the case of predators with limited fields of sensory perception. Journal of Theoretical Biology. 222(1). 73–97. 27 indexed citations
10.
Lewis, D. M.. (2003). The orientation of gyrotactic spheroidal micro-organisms in a homogeneous isotropic turbulent flow. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 459(2033). 1293–1323. 14 indexed citations
11.
Lewis, D. M. & T. J. Pedley. (2001). The Influence of Turbulence on Plankton Predation Strategies. Journal of Theoretical Biology. 210(3). 347–365. 53 indexed citations
12.
Lewis, D. M. & T. J. Pedley. (2000). Planktonic Contact Rates in Homogeneous Isotropic Turbulence: Theoretical Predictions and Kinematic Simulations. Journal of Theoretical Biology. 205(3). 377–408. 55 indexed citations
13.
Lewis, D. M.. (1999). A Simple Model of Concentration Fluctuations in Neutrally Buoyant Clouds. Boundary-Layer Meteorology. 90(1). 117–153. 5 indexed citations
14.
Lewis, D. M., et al.. (1997). Investigation of the collapse of the skewness and kurtosis exhibited in atmospheric dispersion data. 20(3). 385–398. 12 indexed citations
15.
Chatwin, P. C., et al.. (1997). Comments on the properties and uses of atmospheric dispersion datasets. CNR Solar (Scientific Open-access Literature Archive and Repository) (Consiglio Nazionale delle Ricerche). 20(3). 475–489. 4 indexed citations
16.
Lewis, D. M.. (1997). Monte Carlo estimates of dosages of gases dispersing in the atmosphere. Environmetrics. 8(6). 629–650. 3 indexed citations
17.
Chatwin, P. C., et al.. (1996). Atmospheric diffusion: some new mathematical models. Advances in Computational Mathematics. 6(1). 227–242. 4 indexed citations
18.
Robinson, Clifford G., D. M. Lewis, & P. C. Chatwin. (1995). The pitfalls of thresholding atmospheric dispersion data. Boundary-Layer Meteorology. 73(1-2). 183–188. 6 indexed citations
19.
Lewis, D. M. & P. C. Chatwin. (1995). A new model pdf for contaminants dispersing in the atmosphere. Environmetrics. 6(6). 583–593. 27 indexed citations
20.
Lewis, D. M. & P. C. Chatwin. (1995). The treatment of atmospheric dispersion data in the presence of noise and baseline drift. Boundary-Layer Meteorology. 72(1-2). 53–85. 22 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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