Carl Schmitt

4.5k total citations
73 papers, 2.8k citations indexed

About

Carl Schmitt is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Carl Schmitt has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Atmospheric Science, 59 papers in Global and Planetary Change and 8 papers in Aerospace Engineering. Recurrent topics in Carl Schmitt's work include Atmospheric aerosols and clouds (54 papers), Atmospheric chemistry and aerosols (44 papers) and Meteorological Phenomena and Simulations (24 papers). Carl Schmitt is often cited by papers focused on Atmospheric aerosols and clouds (54 papers), Atmospheric chemistry and aerosols (44 papers) and Meteorological Phenomena and Simulations (24 papers). Carl Schmitt collaborates with scholars based in United States, Germany and United Kingdom. Carl Schmitt's co-authors include Andrew J. Heymsfield, Aaron Bansemer, C. H. Twohy, R. Paul Lawson, Brad Baker, Tara Jensen, Christian Hettich, S. Kühn, Ping Yang and Michael R. Poellot and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Carl Schmitt

69 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Schmitt United States 27 2.2k 2.0k 281 267 172 73 2.8k
Andreas Macke Germany 28 1.8k 0.8× 1.9k 0.9× 99 0.4× 115 0.4× 217 1.3× 96 2.5k
Anthony J. Baran United Kingdom 33 2.7k 1.3× 2.8k 1.4× 102 0.4× 242 0.9× 184 1.1× 96 3.2k
Zbigniew Ulanowski United Kingdom 21 1.1k 0.5× 1.2k 0.6× 174 0.6× 241 0.9× 42 0.2× 79 1.7k
Timo Nousiainen Finland 35 2.3k 1.1× 2.6k 1.3× 157 0.6× 143 0.5× 51 0.3× 89 3.3k
Evgenij Zubko United States 30 834 0.4× 914 0.5× 189 0.7× 144 0.5× 54 0.3× 132 2.7k
Yuriy Shkuratov United States 32 680 0.3× 792 0.4× 206 0.7× 278 1.0× 120 0.7× 149 2.9k
Peng‐Wang Zhai United States 22 927 0.4× 1.1k 0.5× 181 0.6× 145 0.5× 65 0.4× 73 1.7k
Michael Kahnert Sweden 31 1.7k 0.8× 1.8k 0.9× 293 1.0× 90 0.3× 21 0.1× 78 2.4k
Olga Muñoz Spain 29 2.4k 1.1× 2.7k 1.3× 107 0.4× 143 0.5× 59 0.3× 91 3.6k
Thomas E. Taylor United States 19 1.2k 0.6× 1.7k 0.8× 132 0.5× 221 0.8× 164 1.0× 38 2.2k

Countries citing papers authored by Carl Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Carl Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Schmitt. A scholar is included among the top collaborators of Carl Schmitt 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 Carl Schmitt. Carl Schmitt 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.
Schmitt, Carl, et al.. (2024). Microphysical Characterization of Boundary Layer Ice Particles: Results from a 3-Year Measurement Campaign in Interior Alaska. Journal of Applied Meteorology and Climatology. 63(6). 699–716. 3 indexed citations
2.
Pilz, Christian, Michael Lonardi, Ulrike Egerer, et al.. (2023). Profile observations of the Arctic atmospheric boundary layer with the BELUGA tethered balloon during MOSAiC. Scientific Data. 10(1). 534–534. 3 indexed citations
3.
Sulia, Kara, et al.. (2022). Classification of Cloud Particle Imagery from Aircraft Platforms Using Convolutional Neural Networks. Journal of Atmospheric and Oceanic Technology. 39(4). 405–424. 7 indexed citations
4.
Schmitt, Carl, et al.. (2019). The measurement and impact of light absorbing particles on snow surfaces. 4 indexed citations
5.
Sulia, Kara, et al.. (2019). The Ice Particle and Aggregate Simulator (IPAS). Part I: Extracting Dimensional Properties of Ice–Ice Aggregates for Microphysical Parameterization. Journal of the Atmospheric Sciences. 76(6). 1661–1676. 12 indexed citations
6.
7.
Khan, Alia L., Heidi M. Dierssen, Joshua P. Schwarz, et al.. (2017). Impacts of coal dust from an active mine on the spectral reflectance of Arctic surface snow in Svalbard, Norway. Journal of Geophysical Research Atmospheres. 122(3). 1767–1778. 26 indexed citations
8.
Schnaiter, Martin, Emma Järvinen, Paul Vochezer, et al.. (2016). Cloud chamber experiments on the origin of ice crystal complexity in cirrus clouds. Atmospheric chemistry and physics. 16(8). 5091–5110. 54 indexed citations
9.
Kretschmer, Erik, J. Blank, R. Dapp, et al.. (2015). In-flight control and communication architecture of the GLORIA imaging limb sounder on atmospheric research aircraft. Atmospheric measurement techniques. 8(6). 2543–2553.
10.
Yang, Ping, Patrick Minnis, Norman G. Loeb, et al.. (2014). A two-habit model for the microphysical and optical properties of ice clouds. Atmospheric chemistry and physics. 14(24). 13719–13737. 55 indexed citations
11.
Kim, Chang Ki, Martin Stuefer, Carl Schmitt, Andrew J. Heymsfield, & Greg Thompson. (2014). Numerical Modeling of Ice Fog in Interior Alaska Using the Weather Research and Forecasting Model. Pure and Applied Geophysics. 171(8). 1963–1982. 15 indexed citations
12.
Axisa, Duncan, J. C. Wilson, J. M. Reeves, et al.. (2013). New particle formation in, around and out of ice clouds in MACPEX. AIP conference proceedings. 575–578. 1 indexed citations
13.
Heymsfield, Andrew J., et al.. (2009). Aircraft-Induced Hole Punch and Canal Clouds. AGUFM. 2009. 1 indexed citations
14.
Schmitt, Carl, Jean Iaquinta, & Andrew J. Heymsfield. (2006). The Asymmetry Parameter of Cirrus Clouds Composed of Hollow Bullet Rosette–Shaped Ice Crystals from Ray-Tracing Calculations. Journal of Applied Meteorology and Climatology. 45(7). 973–981. 22 indexed citations
15.
Jensen, E. J., J. B. Smith, L. Pfister, et al.. (2005). Ice supersaturations exceeding 100% at the cold tropical tropopause: implications for cirrus formation and dehydration. Atmospheric chemistry and physics. 5(3). 851–862. 84 indexed citations
16.
Hettich, Christian, et al.. (2003). Coherent optical dipole coupling of two individual molecules at nanometre separation. KOPS (University of Konstanz). 330–330. 1 indexed citations
17.
Kühn, S., Christian Hettich, Carl Schmitt, J.-Ph. Poizat, & V. Sandoghdar. (2001). Diamond colour centres as a nanoscopic light source for scanning near‐field optical microscopy. Journal of Microscopy. 202(1). 2–6. 87 indexed citations
18.
Mitchell, David L., W. P. Arnott, Carl Schmitt, Douglas H. Lowenthal, & John Edwards. (1999). Ice Cloud Absorption Behavior in the Thermal Infrared Inferred from Laboratory Extinction Measurements. 1 indexed citations
19.
20.
Arnott, W. P., Carl Schmitt, Yangang Liu, & John Hallett. (1997). Droplet size spectra and water-vapor concentration of laboratory water clouds: inversion of Fourier transform infrared (500–5000 cm^-1) optical-depth measurement. Applied Optics. 36(21). 5205–5205. 24 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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2026