V. Mattioli

781 total citations
59 papers, 472 citations indexed

About

V. Mattioli is a scholar working on Atmospheric Science, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, V. Mattioli has authored 59 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 28 papers in Aerospace Engineering and 27 papers in Global and Planetary Change. Recurrent topics in V. Mattioli's work include Precipitation Measurement and Analysis (29 papers), Meteorological Phenomena and Simulations (25 papers) and Atmospheric aerosols and clouds (20 papers). V. Mattioli is often cited by papers focused on Precipitation Measurement and Analysis (29 papers), Meteorological Phenomena and Simulations (25 papers) and Atmospheric aerosols and clouds (20 papers). V. Mattioli collaborates with scholars based in Italy, United States and Germany. V. Mattioli's co-authors include Stefania Bonafoni, P. Basili, Nazzareno Pierdicca, P. Ciotti, E. R. Westwater, Frank S. Marzano, Domenico Cimini, S. I. Gutman, E. R. Westwater and Vernon R. Morris and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric chemistry and physics and IEEE Transactions on Antennas and Propagation.

In The Last Decade

V. Mattioli

54 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Mattioli Italy 12 360 209 194 85 81 59 472
P. Ciotti Italy 13 373 1.0× 188 0.9× 215 1.1× 147 1.7× 101 1.2× 62 518
Brett Candy United Kingdom 14 483 1.3× 359 1.7× 80 0.4× 81 1.0× 110 1.4× 25 573
Donny M. A. Aminou Netherlands 8 190 0.5× 214 1.0× 82 0.4× 37 0.4× 24 0.3× 34 346
Flavio Iturbide‐Sánchez United States 12 413 1.1× 249 1.2× 169 0.9× 95 1.1× 33 0.4× 41 585
Nigel Atkinson United Kingdom 14 545 1.5× 443 2.1× 80 0.4× 64 0.8× 46 0.6× 30 616
M. T. Decker United States 9 402 1.1× 288 1.4× 138 0.7× 96 1.1× 71 0.9× 18 504
Karen St. Germain United States 7 296 0.8× 116 0.6× 76 0.4× 178 2.1× 41 0.5× 17 365
Cathy Kessinger United States 9 370 1.0× 227 1.1× 86 0.4× 169 2.0× 29 0.4× 23 489
D Kunkee United States 8 328 0.9× 122 0.6× 67 0.3× 140 1.6× 151 1.9× 24 447
V. K. Anandan India 15 321 0.9× 184 0.9× 100 0.5× 55 0.6× 78 1.0× 44 468

Countries citing papers authored by V. Mattioli

Since Specialization
Citations

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

Fields of papers citing papers by V. Mattioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Mattioli

This figure shows the co-authorship network connecting the top 25 collaborators of V. Mattioli. A scholar is included among the top collaborators of V. Mattioli 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 V. Mattioli. V. Mattioli 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.
Cimini, Domenico, Stuart Fox, P. W. Rosenkranz, et al.. (2024). Uncertainty in simulated brightness temperature due to sensitivity to atmospheric gas spectroscopic parameters from the centimeter- to submillimeter-wave range. Atmospheric chemistry and physics. 24(12). 7283–7308. 3 indexed citations
2.
Fox, Stuart, et al.. (2024). An evaluation of atmospheric absorption models at millimetre and sub-millimetre wavelengths using airborne observations. Atmospheric measurement techniques. 17(16). 4957–4978. 1 indexed citations
3.
Rydberg, Bengt, et al.. (2024). The Ice Cloud Imager: retrieval of frozen water column properties. Atmospheric measurement techniques. 17(19). 5957–5987.
4.
Cimini, Domenico, Vasileios Barlakas, Fabien Carminati, et al.. (2024). Anatomy of the uncertainty of satellite vicarious calibration using radiosondes: concepts and preliminary results for microwave radiometric observations. Aisberg (University of Bergamo). 5(1).
5.
Mattioli, V., et al.. (2023). Multiyear assessment of ground-based Sun-tracking microwave radiometric observations in Rome, NY (USA) at millimeter and sub-millimeter wavelengths. IRIS Research product catalog (Sapienza University of Rome). 1–5.
6.
Casella, Daniele, Giulia Panegrossi, Paolo Sanò, et al.. (2022). Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions?. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–22. 2 indexed citations
7.
Mattioli, V., et al.. (2021). Investigating Spaceborne Millimeter-Wave Ice Cloud Imager Geolocation Using Landmark Targets and Frequency-Scaling Approach. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 2 indexed citations
8.
Eriksson, Patrick, Bengt Rydberg, V. Mattioli, et al.. (2020). Towards an operational Ice Cloud Imager (ICI) retrieval product. Atmospheric measurement techniques. 13(1). 53–71. 42 indexed citations
9.
Cadeddu, Maria, et al.. (2019). Intercomparison of Integrated Water Vapor Measurements at High Latitudes from Co-Located and Near-Located Instruments. Remote Sensing. 11(18). 2130–2130. 6 indexed citations
11.
Bonafoni, Stefania & V. Mattioli. (2017). Tropospheric dry delay for microwaves using a model based on surface measurements on a global scale. IET Microwaves Antennas & Propagation. 12(1). 9–14. 2 indexed citations
12.
Marzano, Frank S., et al.. (2016). Sun-Tracking Microwave Radiometry: All-Weather Estimation of Atmospheric Path Attenuation at $Ka$ -, $V$ -, and $W$ -Band. IEEE Transactions on Antennas and Propagation. 64(11). 4815–4827. 16 indexed citations
13.
Schönhuber, Michael, et al.. (2015). Use of microwave profiler and Ka/Q-band ground propagation terminal for alphasat ALDO TDP5 propagation experiment - first year of operation. European Conference on Antennas and Propagation. 1–4. 2 indexed citations
14.
Mattioli, V., et al.. (2015). Modeling and prediction of tropospheric radiopropagation parameters from ground-based multi-channel radiometric measurements between Ka and W band. European Conference on Antennas and Propagation. 1–5. 1 indexed citations
15.
Mattioli, V., Frank S. Marzano, Nazzareno Pierdicca, et al.. (2013). Modeling radio propagation effects at V- and W-band using physical-statistical approaches and ground-based data. European Conference on Antennas and Propagation. 2287–2291. 2 indexed citations
16.
Mattioli, V., et al.. (2012). A tomographic approach to the retrieval of the atmospheric specific attenuation coefficient from measured brightness temperature. IRIS Research product catalog (Sapienza University of Rome). 860–863.
17.
Cimini, Domenico, Nazzareno Pierdicca, Emanuela Pichelli, et al.. (2012). On the accuracy of integrated water vapor observations and the potential for mitigating electromagnetic path delay error in InSAR. Atmospheric measurement techniques. 5(5). 1015–1030. 25 indexed citations
18.
Crewell, Susanne, Frank S. Marzano, V. Mattioli, et al.. (2011). Use of remote sensing techniques and navigation data for tropospheric channel assessment. IRIS Research product catalog (Sapienza University of Rome). 3375–3379. 1 indexed citations
19.
Mattioli, V., Frank S. Marzano, Nazzareno Pierdicca, et al.. (2011). Physical-statistical models of sky noise temperature for Deep Space receiving stations from X band to W band. IRIS Research product catalog (Sapienza University of Rome). 3870–3874. 2 indexed citations
20.
Mattioli, V., P. Basili, Stefania Bonafoni, et al.. (2006). Cloud liquid models for propagation studies: Evaluation and refinements. IRIS Research product catalog (Sapienza University of Rome). 1–8. 3 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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