David Grawe

872 total citations
22 papers, 598 citations indexed

About

David Grawe is a scholar working on Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, David Grawe has authored 22 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 12 papers in Atmospheric Science and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in David Grawe's work include Wind and Air Flow Studies (10 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric chemistry and aerosols (5 papers). David Grawe is often cited by papers focused on Wind and Air Flow Studies (10 papers), Meteorological Phenomena and Simulations (7 papers) and Atmospheric chemistry and aerosols (5 papers). David Grawe collaborates with scholars based in Germany, United Kingdom and Australia. David Grawe's co-authors include K. Heinke Schlünzen, Sebastian Rast, Martin Widmann, Jonathan Eden, Mohamed Salim, Sylvia I. Bohnenstengel, R. Koppmann, Roy M. Harrison, Xiaoming Cai and Jennifer Salmond and has published in prestigious journals such as Journal of Climate, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

David Grawe

21 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Grawe Germany	13	328	244	233	145	77	22	598
Giovanni Leuzzi Italy	17	426 1.3×	161 0.7×	177 0.8×	147 1.0×	102 1.3×	60	659
Baomin Wang China	13	322 1.0×	252 1.0×	200 0.9×	208 1.4×	30 0.4×	23	580
Keer Zhang China	9	393 1.2×	95 0.4×	124 0.5×	198 1.4×	84 1.1×	18	517
Brent C. Hedquist United States	12	554 1.7×	202 0.8×	245 1.1×	332 2.3×	162 2.1×	15	733
Ioannis Koletsis Greece	12	162 0.5×	250 1.0×	291 1.2×	84 0.6×	46 0.6×	23	543
Hossein Malakooti Iran	9	177 0.5×	150 0.6×	147 0.6×	150 1.0×	38 0.5×	29	389
C. Helmis Greece	11	183 0.6×	157 0.6×	108 0.5×	220 1.5×	62 0.8×	31	421
Reneta Dimitrova Bulgaria	10	363 1.1×	163 0.7×	113 0.5×	210 1.4×	49 0.6×	29	506
M. Martin Germany	10	308 0.9×	638 2.6×	464 2.0×	233 1.6×	61 0.8×	14	815
Diamando Vlachogiannis Greece	17	215 0.7×	311 1.3×	364 1.6×	161 1.1×	22 0.3×	58	675

Countries citing papers authored by David Grawe

Since Specialization

Citations

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

Fields of papers citing papers by David Grawe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Grawe

This figure shows the co-authorship network connecting the top 25 collaborators of David Grawe. A scholar is included among the top collaborators of David Grawe 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 Grawe. David Grawe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Grawe, David, et al.. (2024). Variability of aerosol particle concentrations from tyre and brake wear emissions in an urban area. Atmospheric Environment X. 24. 100304–100304. 1 indexed citations

Schlünzen, K. Heinke, et al.. (2023). Parameterizing building effects on airflows within the urban canopy layer for high‐resolution models using a nudging approach. Quarterly Journal of the Royal Meteorological Society. 149(755). 2617–2633.

Matthias, Volker, et al.. (2022). Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4. Geoscientific model development. 15(10). 4077–4103. 6 indexed citations

Matthias, Volker, et al.. (2021). Parameterizing the vertical downward dispersion of ship exhaust gas in the near field. Atmospheric chemistry and physics. 21(8). 5935–5951. 15 indexed citations

Hanke, Georg, David M. Fleet, John W. Barry, et al.. (2020). A European Threshold Value and Assessment Method for Macro Litter on Coastlines.. IOC of UNESCO (Intergovernmental Oceanographic Commission). 15 indexed citations

Salim, Mohamed, et al.. (2018). The microscale obstacle-resolving meteorological model MITRAS v2.0: model theory. Geoscientific model development. 11(8). 3427–3445. 32 indexed citations

Augustin, Jobst, Matthias Augustin, Benjamin Bechtel, et al.. (2017). A Conceptual Modeling Approach to Health-Related Urban Well-Being. Urban Science. 1(2). 17–17. 24 indexed citations

Kolusu, Seshagiri Rao, K. Heinke Schlünzen, David Grawe, & Richard Seifert. (2017). Determination of chloromethane and dichloromethane in a tropical terrestrial mangrove forest in Brazil by measurements and modelling. Atmospheric Environment. 173. 185–197. 5 indexed citations

Meroney, Robert N., R. Ohba, Bernd Leitl, et al.. (2016). Review of CFD Guidelines for Dispersion Modeling. Fluids. 1(2). 14–14. 38 indexed citations

10.

Fischereit, Jana, et al.. (2016). Modelling tidal influence on sea breezes with models of different complexity. Meteorologische Zeitschrift. 25(4). 343–355. 4 indexed citations

11.

Kolusu, Seshagiri Rao, K. Heinke Schlünzen, David Grawe, & Richard Seifert. (2016). Chloromethane and dichloromethane in the tropical Atlantic Ocean. Atmospheric Environment. 150. 417–424. 10 indexed citations

12.

Fischereit, Jana, et al.. (2015). Influence of tides on the sea breeze in the German Bight: How much model complexity is needed?. EGUGA. 11807. 1 indexed citations

13.

Salim, Mohamed, K. Heinke Schlünzen, & David Grawe. (2015). Including trees in the numerical simulations of the wind flow in urban areas: Should we care?. Journal of Wind Engineering and Industrial Aerodynamics. 144. 84–95. 84 indexed citations

14.

Grawe, David, et al.. (2013). Comparison of results of an obstacle resolving microscale model with wind tunnel data. Atmospheric Environment. 79. 495–509. 11 indexed citations

15.

Schoetter, Robert, et al.. (2013). Impact of local adaptation measures and regional climate change on perceived temperature. Meteorologische Zeitschrift. 22(2). 117–130. 14 indexed citations

16.

Eden, Jonathan, Martin Widmann, David Grawe, & Sebastian Rast. (2012). Skill, Correction, and Downscaling of GCM-Simulated Precipitation. Journal of Climate. 25(11). 3970–3984. 155 indexed citations

17.

Grawe, David, et al.. (2012). Modelling the impact of urbanisation on regional climate in the Greater London Area. International Journal of Climatology. 33(10). 2388–2401. 53 indexed citations

18.

Schlünzen, K. Heinke, et al.. (2011). Joint modelling of obstacle induced and mesoscale changes—Current limits and challenges. Journal of Wind Engineering and Industrial Aerodynamics. 99(4). 217–225. 60 indexed citations

19.

Grawe, David, et al.. (2010). Coupling of the mesoscale meteorology model METRAS with an improved urban parameterisation. 2 indexed citations

20.

Grawe, David, et al.. (2004). A model system for the assessment of ambient air quality conforming to EC directives. Meteorologische Zeitschrift. 13(5). 387–394. 15 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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