Michela Ravanelli

504 total citations · 1 hit paper
17 papers, 290 citations indexed

About

Michela Ravanelli is a scholar working on Geophysics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, Michela Ravanelli has authored 17 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geophysics, 9 papers in Astronomy and Astrophysics and 8 papers in Aerospace Engineering. Recurrent topics in Michela Ravanelli's work include Earthquake Detection and Analysis (13 papers), Ionosphere and magnetosphere dynamics (9 papers) and earthquake and tectonic studies (9 papers). Michela Ravanelli is often cited by papers focused on Earthquake Detection and Analysis (13 papers), Ionosphere and magnetosphere dynamics (9 papers) and earthquake and tectonic studies (9 papers). Michela Ravanelli collaborates with scholars based in Italy, United States and France. Michela Ravanelli's co-authors include T. Dylan Mikesell, Elvira Astafyeva, Edhah Munaibari, Lucie Rolland, Augusto Mazzoni, Pierdavide Coïsson, Boris Maletckii, Fabio Manta, A. Komjáthy and Mattia Crespi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Michela Ravanelli

15 papers receiving 282 citations

Hit Papers

The 15 January 2022 Hunga... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The 15 January 2022 Hunga Tonga Eruption History as Inferred From Ionospheric Observations
    2022 113 citations Elvira Astafyeva, Boris Maletckii et al. Geophysical Research Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michela Ravanelli Italy 8 205 181 105 42 21 17 290
Maria A. Sergeeva Mexico 11 209 1.0× 271 1.5× 116 1.1× 39 0.9× 74 3.5× 45 324
Jiří Baše Czechia 12 178 0.9× 199 1.1× 52 0.5× 21 0.5× 6 0.3× 16 272
M. Q. Chen Taiwan 7 253 1.2× 261 1.4× 81 0.8× 40 1.0× 77 3.7× 10 376
Kornyanat Hozumi Japan 9 176 0.9× 280 1.5× 121 1.2× 41 1.0× 70 3.3× 54 306
Zbyšek Mošna Czechia 12 214 1.0× 273 1.5× 87 0.8× 26 0.6× 50 2.4× 36 348
Siddharth Krishnamoorthy United States 11 171 0.8× 155 0.9× 83 0.8× 37 0.9× 7 0.3× 30 294
J.Y. Liu Taiwan 14 339 1.7× 203 1.1× 59 0.6× 26 0.6× 58 2.8× 23 444
Wenjie Peng China 13 117 0.6× 211 1.2× 249 2.4× 185 4.4× 23 1.1× 30 382
Tamal Basak India 11 240 1.2× 224 1.2× 41 0.4× 15 0.4× 15 0.7× 27 300
Sean Elvidge United Kingdom 11 201 1.0× 338 1.9× 132 1.3× 81 1.9× 78 3.7× 33 418

Countries citing papers authored by Michela Ravanelli

Since Specialization
Citations

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

Fields of papers citing papers by Michela Ravanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Ravanelli

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

All Works

17 of 17 papers shown
1.
Ravanelli, Michela, Alessandro Bonforte, V. Carbone, et al.. (2025). Ionospheric Disturbances During the 4 December 2015, Mt. Etna Eruption. Earth and Space Science. 12(10).
2.
Ravanelli, Michela, et al.. (2024). Probing the Ionospheric Effects of the 2020 Aegean Sea Earthquake: Leveraging GNSS Observations for Tsunami Early Warning in the Mediterranean. Journal of Geophysical Research Space Physics. 129(12). 2 indexed citations
3.
Cesaroni, Claudio, et al.. (2024). Travelling ionospheric disturbances detection: A statistical study of detrending techniques, induced period error and near real-time observables. Journal of Space Weather and Space Climate. 14. 17–17. 7 indexed citations
4.
5.
Ravanelli, Michela, et al.. (2024). Machine learning-based detection of TEC signatures related to earthquakes and tsunamis: the 2015 Illapel case study. GPS Solutions. 28(3). 7 indexed citations
6.
Ravanelli, Michela, Elvira Astafyeva, Edhah Munaibari, Lucie Rolland, & T. Dylan Mikesell. (2023). Ocean‐Ionosphere Disturbances Due To the 15 January 2022 Hunga‐Tonga Hunga‐Ha'apai Eruption. Geophysical Research Letters. 50(10). 21 indexed citations
7.
Ravanelli, Michela, et al.. (2023). Deep Learning Driven Detection of Tsunami Related Internal Gravity Waves: a path towards open-ocean natural hazards detection. IRIS Research product catalog (Sapienza University of Rome). 3750–3755. 4 indexed citations
8.
Ravanelli, Michela, et al.. (2023). A Deep Learning Approach for Detection of Internal Gravity Waves in Earth’s Ionosphere. IRIS Research product catalog (Sapienza University of Rome). 1178–1181. 4 indexed citations
9.
Astafyeva, Elvira, Boris Maletckii, T. Dylan Mikesell, et al.. (2022). The 15 January 2022 Hunga Tonga Eruption History as Inferred From Ionospheric Observations. Geophysical Research Letters. 49(10). 113 indexed citations breakdown →
10.
Meng, Xing, Michela Ravanelli, A. Komjáthy, & O. P. Verkhoglyadova. (2022). On the North‐South Asymmetry of Co‐Seismic Ionospheric Disturbances During the 16 September 2015 Illapel M8.3 Earthquake. Geophysical Research Letters. 49(8). 10 indexed citations
11.
Ravanelli, Michela, et al.. (2021). GNSS total variometric approach: first demonstration of a tool for real-time tsunami genesis estimation. Scientific Reports. 11(1). 3114–3114. 27 indexed citations
12.
13.
Ravanelli, Michela, Mattia Crespi, & James H. Foster. (2020). Tids Detection from Ship-Based GNSS Receiver: First Test on 2010 Maule Tsunami. IRIS Research product catalog (Sapienza University of Rome). 6 indexed citations
14.
Ravanelli, Michela, et al.. (2020). A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES. SHILAP Revista de lepidopterología. XLIII-B4-2020. 361–365.
15.
Komjáthy, A., Panagiotis Vergados, Michela Ravanelli, et al.. (2019). Advantages of Geostationary Satellites for Ionospheric Anomaly Studies: Ionospheric Plasma Depletion Following a Rocket Launch. Remote Sensing. 11(14). 1734–1734. 30 indexed citations
16.
Ravanelli, Michela, et al.. (2019). Real-Time Geophysical Applications with Android GNSS Raw Measurements. Remote Sensing. 11(18). 2113–2113. 33 indexed citations
17.
Fratarcangeli, Francesca, Michela Ravanelli, Augusto Mazzoni, et al.. (2018). The variometric approach to real-time high-frequency geodesy. RENDICONTI LINCEI. 29(S1). 95–108. 20 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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