Luca Sgheri

782 total citations
37 papers, 528 citations indexed

About

Luca Sgheri is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Luca Sgheri has authored 37 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 13 papers in Molecular Biology. Recurrent topics in Luca Sgheri's work include Atmospheric Ozone and Climate (16 papers), Protein Structure and Dynamics (13 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). Luca Sgheri is often cited by papers focused on Atmospheric Ozone and Climate (16 papers), Protein Structure and Dynamics (13 papers) and Atmospheric and Environmental Gas Dynamics (13 papers). Luca Sgheri collaborates with scholars based in Italy, Germany and United Kingdom. Luca Sgheri's co-authors include Giacomo Parigi, Claudio Luchinat, Marco Ridolfi, Ivano Bertini, Enrico Ravera, Yogesh K. Gupta, Jing Yuan, Massimiliano Peana, Piera Raspollini and Richard J. Gardner and has published in prestigious journals such as Journal of the American Chemical Society, Physical Chemistry Chemical Physics and Optics Express.

In The Last Decade

Luca Sgheri

35 papers receiving 507 citations

Peers

Luca Sgheri

SPECT

GPC

K.‐H. Gericke Germany

Mario Siciliani de Cumis Italy

E. Tränkle Germany

M. Bürgel Netherlands

S. Uehara Japan

Joseph D. Geiser United States

Walter M. Harris United States

John E. Evans United States

Th. Ernst Germany

М. А. Булдаков Russia

K.‐H. Gericke Germany

Luca Sgheri

43 ×0.2

590 ×3.0

SPECT

394 ×2.6

71 ×0.5

46 ×0.4

GPC

Citations per year, relative to Luca Sgheri Luca Sgheri (= 1×) peers K.‐H. Gericke

Countries citing papers authored by Luca Sgheri

Since Specialization

Citations

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

Fields of papers citing papers by Luca Sgheri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Sgheri

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

All Works

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20 of 20 papers shown

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

Sgheri, Luca, et al.. (2024). Determination of emissivity profiles using a Bayesian data-driven approach. Mathematics and Computers in Simulation. 229. 512–524. 1 indexed citations

Brindley, Helen, Stuart Fox, Stephan Havemann, et al.. (2022). Retrieval of Tropospheric Water Vapor From Airborne Far‐Infrared Measurements: A Case Study. Journal of Geophysical Research Atmospheres. 127(7). 5 indexed citations

Sgheri, Luca, Claudio Belotti, Giovanni Bianchini, et al.. (2022). The FORUM end-to-end simulator project: architecture and results. Atmospheric measurement techniques. 15(3). 573–604. 14 indexed citations

Oetjen, H., Helen Brindley, Dulce Lajas, et al.. (2022). Emissivity retrievals with FORUM's end-to-end simulator: challenges and recommendations. Atmospheric measurement techniques. 15(6). 1755–1777. 9 indexed citations

Sgheri, Luca, Claudio Belotti, Giovanni Bianchini, et al.. (2021). The FORUM End-to-End Simulator project: architecture and results. 1 indexed citations

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

Oetjen, H., Helen Brindley, Dulce Lajas, et al.. (2021). Emissivity Retrievals with FORUM's End-to-end Simulator: Challenges and Recommendations. 2 indexed citations

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

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.

Dinelli, B. M., Piera Raspollini, Luca Sgheri, et al.. (2021). The ESA MIPAS/Envisat level2-v8 dataset: 10 years of measurements retrieved with ORM v8.22. Atmospheric measurement techniques. 14(12). 7975–7998. 9 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.

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.

15.

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

16.

Hu, Xiaoyu, Peter H. J. Keizers, Wei‐Min Liu, et al.. (2011). Narrowing the conformational space sampled by two-domain proteins with paramagnetic probes in both domains. Journal of Biomolecular NMR. 51(3). 253–263. 37 indexed citations

17.

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

18.

Luchinat, Claudio, et al.. (2011). Maximum occurrence analysis of protein conformations for different distributions of paramagnetic metal ions within flexible two-domain proteins. Journal of Magnetic Resonance. 215. 85–93. 16 indexed citations

19.

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

20.

Bertini, Ivano, et al.. (2002). Efficiency of paramagnetism-based constraints to determine the spatial arrangement of α-helical secondary structure elements. Journal of Biomolecular NMR. 22(2). 123–136. 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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