C. Mitrescu

4.0k total citations · 2 hit papers
17 papers, 2.9k citations indexed

About

C. Mitrescu is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, C. Mitrescu has authored 17 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 1 paper in Artificial Intelligence. Recurrent topics in C. Mitrescu's work include Atmospheric aerosols and clouds (14 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). C. Mitrescu is often cited by papers focused on Atmospheric aerosols and clouds (14 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). C. Mitrescu collaborates with scholars based in United States, Australia and Romania. C. Mitrescu's co-authors include Steven D. Miller, Graeme L. Stephens, Angela Benedetti, Zhien Wang, R. T. Austin, Ewan O’Connor, Anthony J. Illingworth, William B. Rossow, R. J. Boain and D. Vane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

C. Mitrescu

16 papers receiving 2.8k citations

Hit Papers

THE CLOUDSAT MISSION AND THE A-TRAIN 2002 2026 2010 2018 2002 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Mitrescu United States 10 2.6k 2.6k 150 131 120 17 2.9k
Kerry Meyer United States 26 2.1k 0.8× 2.3k 0.9× 128 0.9× 92 0.7× 173 1.4× 83 2.5k
Norman B. Wood United States 26 2.4k 0.9× 1.8k 0.7× 91 0.6× 94 0.7× 52 0.4× 52 2.6k
Taneil Uttal United States 27 2.9k 1.1× 2.7k 1.0× 280 1.9× 84 0.6× 76 0.6× 76 3.0k
Roger Marchand United States 28 4.0k 1.5× 4.0k 1.6× 339 2.3× 150 1.1× 191 1.6× 79 4.4k
Anthony J. Illingworth United Kingdom 23 3.4k 1.3× 3.3k 1.3× 314 2.1× 64 0.5× 124 1.0× 35 3.6k
Howard W. Barker Canada 31 2.9k 1.1× 3.1k 1.2× 155 1.0× 56 0.4× 345 2.9× 113 3.3k
Carlos Toledano Spain 34 3.4k 1.3× 3.5k 1.4× 333 2.2× 113 0.9× 143 1.2× 128 3.8k
Thomas P. Charlock United States 26 1.9k 0.7× 2.1k 0.8× 47 0.3× 206 1.6× 217 1.8× 76 2.4k
David Oc. Starr United States 27 1.8k 0.7× 1.8k 0.7× 107 0.7× 63 0.5× 36 0.3× 92 2.0k
Stephen K. Cox United States 26 1.6k 0.6× 1.7k 0.7× 187 1.2× 146 1.1× 148 1.2× 90 2.0k

Countries citing papers authored by C. Mitrescu

Since Specialization
Citations

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

Fields of papers citing papers by C. Mitrescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Mitrescu

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

All Works

17 of 17 papers shown
1.
Loeb, Norman G., David R. Doelling, Hailan Wang, et al.. (2017). Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition-4.0 Data Product. Journal of Climate. 31(2). 895–918. 639 indexed citations breakdown →
2.
Miclăuş, Simona, et al.. (2017). Shielding Efficiency of a Fabric Based on Amorphous Glass-Covered Magnetic Microwires to Radiation Emitted by a Mobile Phone in 2G and 3G Communication Technologies. SHILAP Revista de lepidopterología. 22(4). 289–297. 2 indexed citations
3.
Miller, Steven D., J. M. Forsythe, Philip T. Partain, et al.. (2013). Estimating Three-Dimensional Cloud Structure via Statistically Blended Satellite Observations. Journal of Applied Meteorology and Climatology. 53(2). 437–455. 44 indexed citations
4.
Lee, Thomas F., Richard L. Bankert, & C. Mitrescu. (2011). Meteorological Education and Training Using A-Train Profilers. Bulletin of the American Meteorological Society. 93(5). 687–696. 1 indexed citations
5.
Mitrescu, C., Tristan L’Ecuyer, John M. Haynes, Steven D. Miller, & J. Turk. (2010). CloudSat Precipitation Profiling Algorithm—Model Description. Journal of Applied Meteorology and Climatology. 49(5). 991–1003. 50 indexed citations
6.
Haynes, John M., Tristan L’Ecuyer, Graeme L. Stephens, et al.. (2009). Rainfall retrieval over the ocean with spaceborne W‐band radar. Journal of Geophysical Research Atmospheres. 114(D8). 294 indexed citations
7.
Nachamkin, Jason E., Jerome M. Schmidt, & C. Mitrescu. (2009). Verification of Cloud Forecasts over the Eastern Pacific Using Passive Satellite Retrievals. Monthly Weather Review. 137(10). 3485–3500. 8 indexed citations
8.
Bankert, Richard L., C. Mitrescu, Steven D. Miller, & Robert Wade. (2009). Comparison of GOES Cloud Classification Algorithms Employing Explicit and Implicit Physics. Journal of Applied Meteorology and Climatology. 48(7). 1411–1421. 26 indexed citations
9.
Mitrescu, C., Steven D. Miller, Jeffrey D. Hawkins, et al.. (2008). Near-Real-Time Applications of CloudSat Data. Journal of Applied Meteorology and Climatology. 47(7). 1982–1994. 24 indexed citations
10.
Haynes, John M., Tristan L’Ecuyer, Graeme L. Stephens, C. Mitrescu, & S. D. Miller. (2007). Precipitation estimation from CloudSat. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
11.
Haynes, John M., C. Mitrescu, & Graeme L. Stephens. (2005). A combined lidar and radar retrieval of cloud optical properties. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5653. 88–88. 1 indexed citations
12.
Mitrescu, C., et al.. (2005). Cirrus cloud optical, microphysical, and radiative properties observed during the CRYSTAL‐FACE experiment: A lidar‐radar retrieval system. Journal of Geophysical Research Atmospheres. 110(D9). 12 indexed citations
13.
Mitrescu, C. & Graeme L. Stephens. (2004). On similarity and scaling of the radiative transfer equation. Journal of Quantitative Spectroscopy and Radiative Transfer. 86(4). 387–394. 13 indexed citations
14.
Mitrescu, C.. (2004). Lidar model with parameterized multiple scattering for retrieving cloud optical properties. Journal of Quantitative Spectroscopy and Radiative Transfer. 94(2). 201–224. 11 indexed citations
15.
Stephens, Graeme L., D. Vane, R. J. Boain, et al.. (2002). THE CLOUDSAT MISSION AND THE A-TRAIN. Bulletin of the American Meteorological Society. 83(12). 1771–1790. 1729 indexed citations breakdown →
16.
Mitrescu, C. & Graeme L. Stephens. (2002). A New Method for Determining Cloud Transmittance and Optical Depth Using the ARM Micropulsed Lidar. Journal of Atmospheric and Oceanic Technology. 19(7). 1073–1081. 5 indexed citations
17.
Mitrescu, C., R. T. Austin, & Graeme L. Stephens. (1999). LIRAD Analysis of Equatorial Cirrus at the TWP (Manus Island and Nauru) CART Sites.

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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