A. Anzalone

5.2k total citations
18 papers, 52 citations indexed

About

A. Anzalone is a scholar working on Artificial Intelligence, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, A. Anzalone has authored 18 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Global and Planetary Change and 5 papers in Atmospheric Science. Recurrent topics in A. Anzalone's work include Solar Radiation and Photovoltaics (6 papers), Atmospheric aerosols and clouds (6 papers) and Astrophysics and Cosmic Phenomena (3 papers). A. Anzalone is often cited by papers focused on Solar Radiation and Photovoltaics (6 papers), Atmospheric aerosols and clouds (6 papers) and Astrophysics and Cosmic Phenomena (3 papers). A. Anzalone collaborates with scholars based in Italy, Spain and France. A. Anzalone's co-authors include Francesco Isgrò, Domenico Tegolo, Antonio Tutone, A. Pagliaro, Susana Briz, S. Ferrarese, М. Бертаина, Claudio Cassardo, Antonio Arjona Castro and Roberto Prevete and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Applied Sciences.

In The Last Decade

A. Anzalone

16 papers receiving 48 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Anzalone Italy 3 16 13 13 10 8 18 52
Michael Bernas United States 3 11 0.7× 5 0.4× 12 0.9× 2 0.2× 6 43
Andreas Herten Germany 4 8 0.5× 6 0.5× 8 0.6× 7 0.7× 15 36
G. Damke Chile 5 16 1.0× 7 0.5× 2 0.2× 5 0.5× 8 71
C. Husillos Spain 2 10 0.6× 13 1.0× 5 0.4× 4 0.4× 5 24
A. Mancilla Argentina 4 21 1.3× 6 0.5× 14 1.1× 4 0.4× 6 37
C. Satriano Italy 5 17 1.1× 14 1.1× 16 1.2× 4 0.4× 7 67
Yiyang Huang China 3 21 1.3× 7 0.5× 15 1.2× 6 47
Johannes Buehl Germany 3 12 0.8× 11 0.8× 8 0.6× 4 46
Andreas Kvammen Norway 5 10 0.6× 4 0.3× 2 0.2× 2 0.2× 13 98
James Requeima United Kingdom 5 5 0.3× 21 1.6× 10 0.8× 1 0.1× 7 40

Countries citing papers authored by A. Anzalone

Since Specialization
Citations

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

Fields of papers citing papers by A. Anzalone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Anzalone

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

All Works

18 of 18 papers shown
1.
Anzalone, A., A. Pagliaro, & Antonio Tutone. (2024). An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications. Applied Sciences. 14(7). 2887–2887. 9 indexed citations
2.
Shinozaki, Kenji, М. Бертаина, L. Conti, et al.. (2019). Estimation of the exposure for the air shower detection mode of EUSO-SPB1. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 427–427. 2 indexed citations
3.
Bruno, A., et al.. (2019). A Method for Cloud Mapping in the Field of View of the Infra-Red Camera During the EUSO-SPB1 Flight. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 454–454. 1 indexed citations
4.
Shinozaki, K., Silvia De Monte, S. Ferrarese, et al.. (2019). Cloud distribution evaluated by the WRF model during the EUSO-SPB1 flight. SHILAP Revista de lepidopterología. 210. 5006–5006. 1 indexed citations
5.
Anzalone, A., A. Bruno, & Francesco Isgrò. (2019). Measurements of High Energy Cosmic Rays and Cloud presence: A method to estimate Cloud Coverage in Space and Ground-Based Infrared Images. Nuclear and Particle Physics Proceedings. 306-308. 116–123. 1 indexed citations
6.
Shinozaki, K., М. Бертаина, Francesco Fenu, et al.. (2019). Search for nuclearites by the satellite-based TUS air fluorescence detector. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 545–545. 2 indexed citations
7.
Anzalone, A., М. Бертаина, Susana Briz, et al.. (2018). Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 304–318. 13 indexed citations
8.
Anzalone, A. & Francesco Isgrò. (2016). An experimental comparison of standard stereo matching algorithms applied to cloud top height estimation from satellite IR images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10004. 100041Q–100041Q. 2 indexed citations
9.
Anzalone, A. & Francesco Isgrò. (2016). A Multi-spectral Stereo Method to Retrieve Cloud top Height applied to Geostationary Satellite images. 190–197. 2 indexed citations
10.
Briz, Susana, et al.. (2015). Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system. SHILAP Revista de lepidopterología. 89. 3004–3004.
11.
Briz, Susana, A. Anzalone, Antonio Arjona Castro, et al.. (2015). Comparing different methods to retrieve cloud top height from Meteosat satellite data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9640. 96400C–96400C. 1 indexed citations
12.
Anzalone, A., Francesco Isgrò, Emanuela Orlandi, et al.. (2013). A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. Nova Science Publishers (Nova Science Publishers, Inc.). 7. 239–244. 10 indexed citations
13.
Wada, S., Toshikazu Ebisuzaki, Tatsuhiko Ogawa, et al.. (2009). Potential of the atmospheric monitoring system of JEM-EUSO mission. Nova Science Publishers (Nova Science Publishers, Inc.).
14.
Anzalone, A., Francesco Isgrò, & Domenico Tegolo. (2009). A Study for Cloud Parameter Retrieval from the IR Cloud Cameras of the AUGER Observatory. Nuclear Physics B - Proceedings Supplements. 190. 278–283. 1 indexed citations
15.
Anzalone, A., Francesco Isgrò, & Domenico Tegolo. (2007). COMPARISON OF STEREO VISION TECHNIQUES FOR CLOUD-TOP HEIGHT RETRIEVAL. 319–326. 2 indexed citations
16.
Anzalone, A., Francesco Isgrò, & Domenico Tegolo. (2006). Stereo matching techniques for cloud-top height retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6365. 636507–636507. 1 indexed citations
17.
Anzalone, A., Francesco Isgrò, & Domenico Tegolo. (2005). A STUDY ON RECOVERING THE CLOUD-TOP HEIGHT FROM INFRA-RED VIDEO SEQUENCES. Nova Science Publishers (Nova Science Publishers, Inc.). 75–86. 2 indexed citations
18.
Anzalone, A., et al.. (2001). A Method for Accurate Detection of Linearly Scratched Areas in Motion Pictures.. 565–570. 2 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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