Susana Briz

836 total citations
34 papers, 195 citations indexed

About

Susana Briz is a scholar working on Atmospheric Science, Global and Planetary Change and Spectroscopy. According to data from OpenAlex, Susana Briz has authored 34 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 7 papers in Spectroscopy. Recurrent topics in Susana Briz's work include Atmospheric Ozone and Climate (7 papers), Spectroscopy and Laser Applications (7 papers) and Atmospheric aerosols and clouds (7 papers). Susana Briz is often cited by papers focused on Atmospheric Ozone and Climate (7 papers), Spectroscopy and Laser Applications (7 papers) and Atmospheric aerosols and clouds (7 papers). Susana Briz collaborates with scholars based in Spain, Italy and Slovakia. Susana Briz's co-authors include Antonio Arjona Castro, F. López, V. de Castro, M.A. Auger, Pedro J. Muñoz‐Merino, Carlos Delgado Kloos, José A. Ruipérez‐Valiente, Silvia N. Santalla, Jesús Meneses Alonso and Klaus Schäfer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Susana Briz

29 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susana Briz Spain 8 62 50 29 29 26 34 195
Ryan J. Zerr United States 7 90 1.5× 135 2.7× 81 2.8× 14 0.5× 16 273
Peter Kaspersen France 7 61 1.0× 82 1.6× 167 5.8× 6 0.2× 2 0.1× 16 324
Jozua de Boer Netherlands 5 53 0.9× 43 0.9× 17 0.6× 1 0.0× 12 0.5× 7 241
Stefan Lehmann Germany 8 106 1.7× 204 4.1× 23 0.8× 5 0.2× 26 352
Eulogio Jiménez Spain 14 93 1.5× 17 0.3× 53 1.8× 39 795
Denis Dufour Canada 7 71 1.1× 80 1.6× 27 0.9× 22 134
Vladimir V. Zavyalov United States 9 89 1.4× 93 1.9× 6 0.2× 13 0.4× 28 318
William M. Hall United States 8 93 1.5× 93 1.9× 28 1.0× 16 234
Boman Axelsson Sweden 10 32 0.5× 131 2.6× 104 3.6× 11 423
X. Zhang United States 7 314 5.1× 231 4.6× 6 0.2× 5 0.2× 2 0.1× 20 427

Countries citing papers authored by Susana Briz

Since Specialization
Citations

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

Fields of papers citing papers by Susana Briz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Briz

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Briz. A scholar is included among the top collaborators of Susana Briz 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 Susana Briz. Susana Briz 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.
Meléndez, Juan, et al.. (2025). Monitoring single parameter evolution over the course of interferogram acquisition in FTIR systems: Application to gas leak measurement. Journal of Quantitative Spectroscopy and Radiative Transfer. 339. 109429–109429. 1 indexed citations
2.
Briz, Susana, et al.. (2024). Measurement of unburned methane emissions in laboratory flames using mid-infrared hyperspectral imaging. Journal of Quantitative Spectroscopy and Radiative Transfer. 329. 109193–109193. 1 indexed citations
3.
Meléndez, Juan, et al.. (2022). Virtual Spectral Selectivity in a Modulated Thermal Infrared Emitter with Lock-In Detection. Sensors. 22(14). 5451–5451.
4.
Briz, Susana, et al.. (2021). Bi-Spectral Infrared Algorithm for Cloud Coverage over Oceans by the JEM-EUSO Mission Program. Sensors. 21(19). 6506–6506. 1 indexed citations
5.
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
6.
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
7.
Briz, Susana, et al.. (2015). Retrieval of optically thin cloud emissivity from brightness temperatures provided by IR Camera of JEM-EUSO Mission. SHILAP Revista de lepidopterología. 89. 3011–3011. 2 indexed citations
8.
Castro, Antonio Arjona, et al.. (2015). Cloud phase identification based on brightness temperatures provided by the bi-spectral IR Camera of JEM-EUSO Mission. SHILAP Revista de lepidopterología. 89. 3002–3002.
9.
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, et al.. (2013). Note: Design of a dose-controlled phototherapy system based on hyperspectral studies. Review of Scientific Instruments. 84(2). 26112–26112. 3 indexed citations
12.
Sáez-Cano, G., J. A. Morales de los Ríos, K. Shinozaki, et al.. (2012). Observation of ultra-high energy cosmic rays in cloudy conditions by the space-based JEM-EUSO Observatory. Journal of Physics Conference Series. 375(5). 52010–52010. 4 indexed citations
13.
Briz, Susana, José Barrancos, D. Nolasco, et al.. (2009). New method for estimating greenhouse gas emissions from livestock buildings using open-path FTIR spectroscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7475. 747510–747510. 1 indexed citations
14.
Briz, Susana, et al.. (2006). Remote sensing by open-path FTIR spectroscopy. Comparison of different analysis techniques applied to ozone and carbon monoxide detection. Journal of Quantitative Spectroscopy and Radiative Transfer. 103(2). 314–330. 13 indexed citations
15.
Briz, Susana, et al.. (2006). Quantitative analysis of open-path FTIR spectra by using artificial neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6362. 63621F–63621F.
16.
Meléndez, Juan, Susana Briz, F. López, et al.. (2002). Measurements of laboratory forest fires with bi-spectral infrared imaging.. 1 indexed citations
17.
Castro, Antonio Arjona, et al.. (2000). Optimized geometry in infrared arrays for remote sensing of forest fires. Infrared Physics & Technology. 41(1). 35–39. 11 indexed citations
18.
Castro, Antonio Arjona, et al.. (2000). Automatic and autonomous infrared system for remote sensing of forest fires. Review of Scientific Instruments. 71(10). 3657–3661. 2 indexed citations
19.
Pérez-Díaz, José-Luis, et al.. (1998). <title>Infrared absorption device for analysis of exhaust gases from moving vehicles</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3493. 178–183. 1 indexed citations
20.
López, F., et al.. (1998). Spot shape and size on the focal plane of specific infrared nonimaging sensors for the detection of forest fires. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3436. 949–949. 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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