Laura Inno

1.2k total citations
41 papers, 401 citations indexed

About

Laura Inno is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Laura Inno has authored 41 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Laura Inno's work include Stellar, planetary, and galactic studies (27 papers), Astro and Planetary Science (21 papers) and Astrophysics and Star Formation Studies (14 papers). Laura Inno is often cited by papers focused on Stellar, planetary, and galactic studies (27 papers), Astro and Planetary Science (21 papers) and Astrophysics and Star Formation Studies (14 papers). Laura Inno collaborates with scholars based in Italy, Germany and Japan. Laura Inno's co-authors include Noriyuki Matsunaga, G. Bono, B. Lemasle, M. Romaniello, K. Genovali, F. Primas, Stefania Pedicelli, M. Fabrizio, C. D. Laney and P. François and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Access.

In The Last Decade

Laura Inno

34 papers receiving 386 citations

Peers

Laura Inno

INSTR

NHEP

AMPO

SPECT

Laurence A. Marschall United States

Ting-Wen Lan United States

Katrina Exter United Kingdom

Pierre Le Sidaner France

Marcelo Tucci Maia United States

K. V. Croxall United States

Adina D. Feinstein United States

TalaWanda R. Monroe United States

D. Majaess Canada

R. Gutiérrez–Sánchez Spain

Laurence A. Marschall United States

Laura Inno

606 ×1.7

203 ×1.5

INSTR

26 ×0.7

NHEP

17 ×0.9

AMPO

10 ×0.8

SPECT

Citations per year, relative to Laura Inno Laura Inno (= 1×) peers Laurence A. Marschall

Countries citing papers authored by Laura Inno

Since Specialization

Citations

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

Fields of papers citing papers by Laura Inno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Inno

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Inno. A scholar is included among the top collaborators of Laura Inno 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 Laura Inno. Laura Inno 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

Inno, Laura, P. Giacobbe, Antonio Maratea, et al.. (2025). A data-driven approach for extracting exoplanetary atmospheric features. Astronomy and Computing. 52. 100964–100964. 3 indexed citations

Ciaramella, Angelo, et al.. (2025). Detection of Exoplanets in Transit Light Curves with Conditional Flow Matching and XGBoost. Electronics. 14(9). 1738–1738. 2 indexed citations

Bertini, Ivano, Jean‐Baptiste Vincent, Raphael Marschall, et al.. (2025). A composite phase function for cometary dust comae. Planetary and Space Science. 265. 106164–106164. 1 indexed citations

Inno, Laura, A. Rotundi, Angelo Ciaramella, et al.. (2025). DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates. The Astronomical Journal. 170(2). 73–73.

Galiano, A., Marco Ferrari, Cristian Carli, et al.. (2025). VIS‐to‐MIR reflectance and Raman spectroscopy of the CM2 NWA 12184 carbonaceous chondrite. Meteoritics and Planetary Science. 60(3). 570–595.

Donato, Paola Di, Vincenzo Della Corte, G. Covone, et al.. (2025). The brine shrimp Artemia franciscana as a model for astrobiological studies: Physiological adaptations to Mars-like atmospheric pressure conditions. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 303. 111825–111825. 2 indexed citations

Corsaro, E., et al.. (2024). Revisiting the conundrum of the sub-Jovian and Neptune desert. Astronomy and Astrophysics. 692. A162–A162. 1 indexed citations

Covone, G., V. Nascimbeni, Laura Inno, et al.. (2024). PLATO on the shoulders of TESS: analysing mono-transit planet candidates in TESS data as a prior knowledge for PLATO observations. Monthly Notices of the Royal Astronomical Society. 528(2). 2851–2870. 1 indexed citations

Corte, Vincenzo Della, A. Rotundi, Ivano Bertini, et al.. (2024). Performance assessment of an innovative light and compact dust shield for DISC onboard Comet Interceptor/ESA space probes. International Journal of Impact Engineering. 195. 105146–105146.

10.

Giovannelli, Donato, G. Covone, Paola Di Donato, et al.. (2023). Exploring the Development of Astrobiology Scientific Research through Bibliometric Network Analysis: A Focus on Biomining and Bioleaching. Minerals. 13(6). 797–797. 2 indexed citations

11.

Magazzù, Alessandro, Maria Antonia Iatı̀, Rosalba Saija, et al.. (2021). Optical tweezers in a dusty universe. The European Physical Journal Plus. 136(3). 8 indexed citations

12.

Covone, G., et al.. (2021). Efficiency of the oxygenic photosynthesis on Earth-like planets in the habitable zone. Monthly Notices of the Royal Astronomical Society. 505(3). 3329–3335. 16 indexed citations

13.

Inno, Laura, Hans‐Walter Rix, K. Z. Stanek, et al.. (2021). The Gaia-ASAS-SN Classical Cepheid Sample. I. Sample Selection. The Astrophysical Journal. 914(2). 127–127. 2 indexed citations

14.

Paolo, Federico Di, Vincenzo Della Corte, Ivano Bertini, et al.. (2021). Dust Impact Sensor and Counter (DISC) for Comet Exploration: Laser Simulations of Hypervelocity Impacts. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1238.

15.

Corte, Vincenzo Della, A. Rotundi, Ivano Bertini, et al.. (2021). DISC, the Dust Impact Sensor and Counter, on Board Comet Interceptor ESA Space Mission, for In Situ Dust Environment Characterization of a Dynamically New Comet. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2332. 1 indexed citations

16.

Fiorentino, G., M. Bellazzini, Mario Spera, et al.. (2020). Deep into the core of dense star clusters: an astrometric and photometric test case for ELT. Monthly Notices of the Royal Astronomical Society. 494(3). 4413–4425. 3 indexed citations

17.

Longobardo, A., A. Rotundi, M. Fulle, et al.. (2020). 67P/Churyumov–Gerasimenko’s dust activity from pre- to post-perihelion as detected by Rosetta/GIADA. Monthly Notices of the Royal Astronomical Society. 496(1). 125–137. 14 indexed citations

18.

Corte, Vincenzo Della, A. Rotundi, Ivano Bertini, et al.. (2020). Dust Impact Sensors for small spacecrafts. 1 indexed citations

19.

Genovali, K., B. Lemasle, G. Bono, et al.. (2014). On the fine structure of the Cepheid metallicity gradient in the Galactic thin disk. Springer Link (Chiba Institute of Technology). 65 indexed citations

20.

Genovali, K., B. Lemasle, G. Bono, et al.. (2013). On the metallicity distribution of classical Cepheids in the Galactic inner disk. Springer Link (Chiba Institute of Technology). 21 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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