Marco Ridolfi

3.5k total citations
75 papers, 1.2k citations indexed

About

Marco Ridolfi is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Marco Ridolfi has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 19 papers in Aerospace Engineering. Recurrent topics in Marco Ridolfi's work include Atmospheric Ozone and Climate (64 papers), Atmospheric and Environmental Gas Dynamics (48 papers) and Atmospheric chemistry and aerosols (25 papers). Marco Ridolfi is often cited by papers focused on Atmospheric Ozone and Climate (64 papers), Atmospheric and Environmental Gas Dynamics (48 papers) and Atmospheric chemistry and aerosols (25 papers). Marco Ridolfi collaborates with scholars based in Italy, Germany and France. Marco Ridolfi's co-authors include M. Carlotti, B. M. Dinelli, Piera Raspollini, B. Carli, Simone Ceccherini, T. von Clarmann, Luca Sgheri, A. Dudhia, M. Ḧopfner and Luca Magnani and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Optics Letters.

In The Last Decade

Marco Ridolfi

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ridolfi Italy 20 1.1k 823 301 202 151 75 1.2k
Piera Raspollini Italy 15 763 0.7× 567 0.7× 206 0.7× 106 0.5× 130 0.9× 62 838
R. D. Blatherwick United States 19 753 0.7× 500 0.6× 347 1.2× 106 0.5× 47 0.3× 44 893
Felix Friedl-Vallon Germany 19 983 0.9× 728 0.9× 184 0.6× 240 1.2× 108 0.7× 74 1.1k
J. J. Remedios United Kingdom 17 668 0.6× 489 0.6× 165 0.5× 221 1.1× 28 0.2× 33 768
R. A. McClatchey United States 10 449 0.4× 393 0.5× 242 0.8× 65 0.3× 80 0.5× 20 624
Thomas G. Kyle United States 13 367 0.3× 279 0.3× 201 0.7× 66 0.3× 93 0.6× 43 544
Hugh B. Howell United States 6 413 0.4× 337 0.4× 101 0.3× 22 0.1× 178 1.2× 7 545
Fred A. Best United States 12 909 0.8× 757 0.9× 138 0.5× 20 0.1× 363 2.4× 60 1.1k
Alain Sarkissian France 15 483 0.5× 385 0.5× 50 0.2× 189 0.9× 92 0.6× 54 693
A. V. Polyakov Russia 13 516 0.5× 450 0.5× 149 0.5× 56 0.3× 70 0.5× 106 602

Countries citing papers authored by Marco Ridolfi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ridolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ridolfi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ridolfi. A scholar is included among the top collaborators of Marco Ridolfi 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 Marco Ridolfi. Marco Ridolfi 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.
2.
Ridolfi, Marco, et al.. (2024). Characterization of Surface Spectral Emissivity Retrieved from EE9-FORUM Simulated Measurements. Remote Sensing in Earth Systems Sciences. 7(1). 15–25. 2 indexed citations
3.
Ceccherini, Simone, B. M. Dinelli, Marco Gai, et al.. (2021). Phosgene distribution derived from MIPAS ESA v8 data: intercomparisons and trends. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
4.
Dinelli, B. M., Piera Raspollini, Marco Gai, et al.. (2021). The ESA MIPAS/ENVISAT Level2-v8 dataset: 10 years of measurements retrieved with ORM v8.22. Repository KITopen (Karlsruhe Institute of Technology). 2 indexed citations
5.
Boone, C. D., Simone Ceccherini, Marco Gai, et al.. (2017). CCl 4 distribution derived from MIPAS ESA V7 data: validation, trend and lifetime estimation. 2 indexed citations
6.
Ridolfi, Marco & Luca Sgheri. (2014). Characterization of model errors in the calculation of tangent heights for atmospheric infrared limb measurements. Atmospheric measurement techniques. 7(12). 4117–4122.
7.
Raspollini, Piera, B. Carli, M. Carlotti, et al.. (2013). Ten years of MIPAS measurements with ESA Level 2 processor V6 – Part 1: Retrieval algorithm and diagnostics of the products. Atmospheric measurement techniques. 6(9). 2419–2439. 46 indexed citations
8.
Ridolfi, Marco & Luca Sgheri. (2011). Iterative approach to self-adapting and altitude-dependent regularization for atmospheric profile retrievals. Optics Express. 19(27). 26696–26696. 23 indexed citations
9.
Ceccherini, Simone, B. Carli, Piera Raspollini, & Marco Ridolfi. (2011). Rigorous determination of stratospheric water vapor trends from MIPAS observations. Optics Express. 19(S3). A340–A340. 2 indexed citations
10.
Ridolfi, Marco & Luca Sgheri. (2009). A self-adapting and altitude-dependent regularization method for atmospheric profile retrievals. Atmospheric chemistry and physics. 9(6). 1883–1897. 19 indexed citations
11.
Birk, Manfred, C. E. Blom, T. von Clarmann, et al.. (2007). MIPAS: an instrument for atmospheric and climate research. 17 indexed citations
12.
Ceccherini, Simone, Claudio Belotti, B. Carli, Piera Raspollini, & Marco Ridolfi. (2007). Technical Note: Regularization performances with the error consistency method in the case of retrieved atmospheric profiles. Atmospheric chemistry and physics. 7(5). 1435–1440. 21 indexed citations
13.
Carlotti, M., Enzo Papandrea, M. Prevedelli, et al.. (2006). GMTR: Two-dimensional geo-fit multitarget retrieval model for Michelson Interferometer for Passive Atmospheric Sounding/Environmental Satellite observations. Applied Optics. 45(4). 716–716. 46 indexed citations
14.
Flaud, J.‐M., et al.. (2006). MIPAS database: Validation of HNO 3 line parameters using MIPAS satellite measurements. Atmospheric chemistry and physics. 6(12). 5037–5048. 36 indexed citations
15.
Raspollini, Piera, Claudio Belotti, B. Carli, et al.. (2006). MIPAS level 2 operational analysis. Atmospheric chemistry and physics. 6(12). 5605–5630. 97 indexed citations
16.
Raspollini, Piera, B. Carli, M. Carlotti, et al.. (2003). MIPAS INSTRUMENT AND LEVEL 1 VERIFICATIONS USING LEVEL 2 RETRIEVAL CODE. ESASP. 531. 1 indexed citations
17.
Ridolfi, Marco, B. Carli, M. Carlotti, et al.. (2003). MIPAS Level 2 Processor Performance and Verification. ESASP. 531. 1 indexed citations
18.
Flaud, J.-M., J. Orphal, G. Bergametti, et al.. (2002). The Geostationary Fourier Imaging Spectrometer (GeoFIS) as part of the Geostationary Tropospheric Pollution Explorer (GeoTROPE) mission: objectives and capabilities. 34. 2675. 2 indexed citations
19.
Ridolfi, Marco, B. Carli, M. Carlotti, et al.. (2000). Optimized forward model and retrieval scheme for MIPAS near-real-time data processing. Applied Optics. 39(8). 1323–1323. 141 indexed citations
20.
Carli, B., P. A. R. Ade, Ugo Cortesi, et al.. (1999). SAFIRE-A: Spectroscopy of the Atmosphere Using Far-Infrared Emission/Airborne. Journal of Atmospheric and Oceanic Technology. 16(10). 1313–1328. 25 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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