M. Kerschgens

585 total citations
28 papers, 376 citations indexed

About

M. Kerschgens is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, M. Kerschgens has authored 28 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in M. Kerschgens's work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (8 papers). M. Kerschgens is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (8 papers). M. Kerschgens collaborates with scholars based in Germany, Australia and Hong Kong. M. Kerschgens's co-authors include E. Raschke, Günther Heinemann, Joaquim G. Pinto, Andreas Hense, Mark Reyers, Gregor C. Leckebusch, Yaping Shao, Helmut Kraus, Andreas Krüger and A. Ebel and has published in prestigious journals such as Atmospheric Environment, Quarterly Journal of the Royal Meteorological Society and International Journal of Climatology.

In The Last Decade

M. Kerschgens

28 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Kerschgens Germany 12 263 242 102 32 22 28 376
Inge Bischoff-Gauß Germany 9 264 1.0× 262 1.1× 66 0.6× 24 0.8× 21 1.0× 14 391
M. Bull United States 7 471 1.8× 438 1.8× 55 0.5× 55 1.7× 13 0.6× 12 630
Oluwagbemiga O. Jegede Nigeria 11 271 1.0× 201 0.8× 106 1.0× 38 1.2× 69 3.1× 25 368
Yasemin Ezber Türkiye 9 241 0.9× 269 1.1× 168 1.6× 47 1.5× 9 0.4× 20 453
Steven R. Semmer United States 9 262 1.0× 300 1.2× 101 1.0× 12 0.4× 11 0.5× 12 417
Lawrence B. Dunn United States 9 357 1.4× 390 1.6× 61 0.6× 25 0.8× 8 0.4× 14 478
Edson Pereira Marques Filho Brazil 10 150 0.6× 118 0.5× 161 1.6× 28 0.9× 60 2.7× 32 306
Włodzimierz Pawlak Poland 13 284 1.1× 131 0.5× 243 2.4× 65 2.0× 10 0.5× 34 462
Adam Jaczewski Poland 8 237 0.9× 201 0.8× 25 0.2× 17 0.5× 23 1.0× 16 331
Hiromaru Hirakuchi Japan 8 249 0.9× 277 1.1× 131 1.3× 21 0.7× 3 0.1× 36 403

Countries citing papers authored by M. Kerschgens

Since Specialization
Citations

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

Fields of papers citing papers by M. Kerschgens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kerschgens

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kerschgens. A scholar is included among the top collaborators of M. Kerschgens 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 M. Kerschgens. M. Kerschgens 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.
Richner, Hans, et al.. (2021). Salutation to the 30th anniversary of “Meteorologische Zeitschrift/Contributions to Atmospheric Sciences”. Meteorologische Zeitschrift. 30(1). 3–5. 1 indexed citations
2.
Zacharias, Stefan, Mark Reyers, Joaquim G. Pinto, et al.. (2012). Heat and moisture budgets from airborne measurements and high-resolution model simulations. Meteorology and Atmospheric Physics. 117(1-2). 47–61. 4 indexed citations
3.
Pinto, Joaquim G., et al.. (2009). Estimation of wind storm impacts overWestern Germany under future climate conditions using a statistical–dynamical downscaling approach. Tellus A Dynamic Meteorology and Oceanography. 62(2). 188–188. 51 indexed citations
4.
Pinto, Joaquim G., et al.. (2009). Assessment of the Wind Gust Estimate Method in mesoscale modelling of storm events over West Germany. Meteorologische Zeitschrift. 18(5). 495–506. 17 indexed citations
5.
Kerschgens, M., et al.. (2007). Downscaling of current and future rainfall climatologies for southern Morocco. Part II: Climate change signals. International Journal of Climatology. 27(8). 1065–1073. 14 indexed citations
6.
Heinemann, Günther & M. Kerschgens. (2005). Comparison of methods for area-averaging surface energy fluxes over heterogeneous land surfaces using high-resolution non-hydrostatic simulations. International Journal of Climatology. 25(3). 379–403. 39 indexed citations
7.
Kerschgens, M., et al.. (2005). Mesoscale modelling of interactions between rainfall and the land surface in West Africa. Meteorology and Atmospheric Physics. 91(1-4). 211–221. 10 indexed citations
8.
Shao, Yaping, et al.. (2001). Effects of land-surface heterogeneity upon surface fluxes and turbulent conditions. Meteorology and Atmospheric Physics. 78(3-4). 157–181. 24 indexed citations
9.
Memmesheimer, M., et al.. (2001). Air quality modeling with the EURAD model. JuSER (Forschungszentrum Jülich). 2 indexed citations
10.
Kerschgens, M., et al.. (2001). Simulation of concentration statistics with an Eulerian model relevance of several factors to quality of results. Meteorologische Zeitschrift. 10(4). 247–252. 2 indexed citations
11.
Friese, Elmar, M. Memmesheimer, I.J. Ackermann, et al.. (2000). A study of aerosol-cloud interactions with a comprehensive air quality model. Journal of Aerosol Science. 31. 54–55. 3 indexed citations
12.
Kerschgens, M., et al.. (2000). Comments on turbulence parameters for the calculation of dispersion in the atmospheric boundary layer. Meteorologische Zeitschrift. 9(3). 155–163. 5 indexed citations
13.
Kerschgens, M., et al.. (1999). Stadtklima und Luftreinhaltung. 28 indexed citations
14.
Kerschgens, M., et al.. (1998). Tracerexperimente in der Region Freiburg-Schauinsland — Vergleich mit Strömungs- und Ausbreitungsmodellen. Meteorologische Zeitschrift. 7(1). 32–35. 4 indexed citations
15.
Kerschgens, M., et al.. (1994). On the generation of synthetic wind roses in orographically structured terrain (research note). Theoretical and Applied Climatology. 48(4). 203–207. 2 indexed citations
16.
Kerschgens, M., et al.. (1984). Energy fluxes in an alipine valley. Meteorology and Atmospheric Physics. 33(1). 11–20. 6 indexed citations
17.
Hense, Andreas, E. Raschke, & M. Kerschgens. (1982). An economical method for computing the radiative energy transfer in circulation models. Quarterly Journal of the Royal Meteorological Society. 108(455). 231–252. 40 indexed citations
18.
Kerschgens, M., et al.. (1978). A modified two-stream approximation for computations of the solar radiation budget in a cloudy atmosphere. Tellus A Dynamic Meteorology and Oceanography. 30(5). 429–429. 7 indexed citations
19.
Kerschgens, M., et al.. (1978). A modified two-stream approximation for computations of the solar radiation budget in a cloudy atmosphere. Tellus. 30(5). 429–435. 32 indexed citations
20.
Kerschgens, M., et al.. (1976). The absorption of solar radiation in model atmospheres. 49(2). 81–97. 10 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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