Marco Gai

669 total citations
38 papers, 396 citations indexed

About

Marco Gai is a scholar working on Atmospheric Science, Global and Planetary Change and Spectroscopy. According to data from OpenAlex, Marco Gai has authored 38 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 6 papers in Spectroscopy. Recurrent topics in Marco Gai's work include Atmospheric Ozone and Climate (22 papers), Atmospheric and Environmental Gas Dynamics (18 papers) and Atmospheric chemistry and aerosols (17 papers). Marco Gai is often cited by papers focused on Atmospheric Ozone and Climate (22 papers), Atmospheric and Environmental Gas Dynamics (18 papers) and Atmospheric chemistry and aerosols (17 papers). Marco Gai collaborates with scholars based in Italy, Germany and United Kingdom. Marco Gai's co-authors include Giovanni Macelloni, P. Pampaloni, S. Paloscia, F. Marliani, Samuele Del Bianco, B. Carli, Ugo Cortesi, B. M. Dinelli, Luca Palchetti and Giovanni Bianchini and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric chemistry and physics.

In The Last Decade

Marco Gai

35 papers receiving 371 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 Gai Italy 10 226 166 147 142 66 38 396
Agnieszka Białek United Kingdom 9 127 0.6× 49 0.3× 111 0.8× 196 1.4× 88 1.3× 31 375
Jeannette van den Bosch United States 5 139 0.6× 115 0.7× 190 1.3× 116 0.8× 86 1.3× 13 408
Peter J. Jarecke United States 9 184 0.8× 51 0.3× 92 0.6× 189 1.3× 103 1.6× 25 434
Jeremy Sauer United States 11 210 0.9× 199 1.2× 226 1.5× 44 0.3× 19 0.3× 21 367
Antoine Lacan Germany 7 301 1.3× 46 0.3× 290 2.0× 74 0.5× 46 0.7× 10 405
Jun Tanii Japan 10 96 0.4× 62 0.4× 86 0.6× 62 0.4× 84 1.3× 40 316
Songyan Gu China 11 452 2.0× 83 0.5× 347 2.4× 82 0.6× 35 0.5× 33 563
Laurent Poutier France 11 149 0.7× 129 0.8× 132 0.9× 86 0.6× 70 1.1× 31 355
Melvin Felton United States 10 271 1.2× 37 0.2× 249 1.7× 63 0.4× 16 0.2× 29 453
E.D. Danielson United States 6 116 0.5× 68 0.4× 137 0.9× 54 0.4× 100 1.5× 10 304

Countries citing papers authored by Marco Gai

Since Specialization
Citations

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

Fields of papers citing papers by Marco Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Gai. A scholar is included among the top collaborators of Marco Gai 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 Gai. Marco Gai 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.
Ordóñez, Paulina, G. P. Stiller, Piera Raspollini, et al.. (2024). Comparison of the H 2 O, HDO and δ D stratospheric climatologies between the MIPAS-ESA V8, MIPAS-IMK V5 and ACE-FTS V4.1/4.2 satellite datasets. Atmospheric measurement techniques. 17(11). 3401–3418.
2.
Belotti, Claudio, M. Barucci, Giovanni Bianchini, et al.. (2023). The Far-Infrared Radiation Mobile Observation System (FIRMOS) for spectral characterization of the atmospheric emission. Atmospheric measurement techniques. 16(10). 2511–2529. 6 indexed citations
3.
Cuccoli, Fabrizio, Luca Facheris, Ugo Cortesi, et al.. (2023). Integrated Water Vapor Estimation Through Microwave Propagation Measurements: Second Experiment on A Ground-to-Ground Radio Link. Florence Research (University of Florence). 3788–3791.
4.
Borri, Claudia, Sonia Centi, Patrizia Bogani, et al.. (2022). Paper-based genetic assays with bioconjugated gold nanorods and an automated readout pipeline. Scientific Reports. 12(1). 6223–6223. 2 indexed citations
5.
Palchetti, Luca, M. Barucci, Claudio Belotti, et al.. (2021). Observations of the downwelling far-infrared atmospheric emission at the Zugspitze observatory. Earth system science data. 13(9). 4303–4312. 13 indexed citations
6.
Natale, Gianluca Di, M. Barucci, Claudio Belotti, et al.. (2021). Comparison of mid-latitude single- and mixed-phase cloud optical depth from co-located infrared spectrometer and backscatter lidar measurements. Atmospheric measurement techniques. 14(10). 6749–6758. 6 indexed citations
7.
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
8.
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
9.
Zoppetti, Nicola, Simone Ceccherini, B. Carli, et al.. (2021). Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study. Atmospheric measurement techniques. 14(3). 2041–2053. 5 indexed citations
10.
Ceccherini, Simone, B. M. Dinelli, Marco Gai, et al.. (2021). Phosgene distribution derived from MIPAS ESA v8 data: intercomparisons and trends. Atmospheric measurement techniques. 14(12). 7959–7974. 3 indexed citations
11.
Zoppetti, Nicola, Simone Ceccherini, B. Carli, et al.. (2019). The Complete Data Fusion for a Full Exploitation of Copernicus Atmospheric Sentinel Level 2 Products. 16 indexed citations
12.
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
13.
Boone, C. D., Simone Ceccherini, Marco Gai, et al.. (2017). CCl 4 distribution derived from MIPAS ESA v7 data: intercomparisons, trend, and lifetime estimation. Atmospheric chemistry and physics. 17(16). 10143–10162. 10 indexed citations
14.
Cortesi, Ugo, Samuele Del Bianco, Simone Ceccherini, et al.. (2016). Synergy between middle infrared and millimeter-wave limb sounding of atmospheric temperature and minor constituents. Atmospheric measurement techniques. 9(5). 2267–2289. 9 indexed citations
15.
Gai, Marco, et al.. (2014). A Scientific Mission Based on a High Altitude Stratospheric Balloon. Journal of the aerospace sciences. 4(3). 18–29. 3 indexed citations
16.
Bianco, Samuele Del, et al.. (2014). XCO2 retrieved from IASI using KLIMA algorithm. Annals of Geophysics. 56. 6 indexed citations
17.
Cortesi, Ugo, Samuele Del Bianco, Marco Gai, & B. Carli. (2010). Carbon Dioxide Retrieval from IASI Measurements Using the KLIMA Inversion Algorithm. 686. 468. 2 indexed citations
18.
Dinelli, B. M., Elisa Castelli, B. Carli, et al.. (2009). Technical Note: Measurement of the tropical UTLS composition in presence of clouds using millimetre-wave heterodyne spectroscopy. Atmospheric chemistry and physics. 9(4). 1191–1207. 10 indexed citations
19.
Dinelli, B. M., Elisa Castelli, B. Carli, et al.. (2008). Measurement of the tropical UTLS composition in presence of clouds using millimetre-wave heterodyne spectroscopy. 2 indexed citations
20.
Gai, Marco, et al.. (2002). Monte Carlo code for mixed MIE and molecular scattering in lidar returns. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4538. 205–205.

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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