Lorenzo Trenchi

610 total citations
18 papers, 444 citations indexed

About

Lorenzo Trenchi is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Lorenzo Trenchi has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 10 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Lorenzo Trenchi's work include Ionosphere and magnetosphere dynamics (16 papers), Solar and Space Plasma Dynamics (15 papers) and Geomagnetism and Paleomagnetism Studies (10 papers). Lorenzo Trenchi is often cited by papers focused on Ionosphere and magnetosphere dynamics (16 papers), Solar and Space Plasma Dynamics (15 papers) and Geomagnetism and Paleomagnetism Studies (10 papers). Lorenzo Trenchi collaborates with scholars based in Italy, United States and United Kingdom. Lorenzo Trenchi's co-authors include R. Bruno, M. F. Marcucci, Daniele Telloni, R. C. Fear, C. Carr, Jinbin Cao, H. Rème, R. D’Amicis, Giuseppe Consolini and G. Pallocchia and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

Lorenzo Trenchi

18 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Trenchi Italy 12 426 242 32 26 21 18 444
Daniel Heyner Germany 13 487 1.1× 227 0.9× 27 0.8× 22 0.8× 13 0.6× 48 514
Erika Palmerio United States 14 560 1.3× 187 0.8× 21 0.7× 17 0.7× 36 1.7× 54 575
E. Huttunen Finland 7 811 1.9× 386 1.6× 56 1.8× 29 1.1× 27 1.3× 11 829
Q. M. Zhang China 14 611 1.4× 116 0.5× 13 0.4× 13 0.5× 37 1.8× 21 617
Jun Zhong China 17 747 1.8× 305 1.3× 68 2.1× 25 1.0× 8 0.4× 49 781
S. L. McGregor United States 10 409 1.0× 142 0.6× 20 0.6× 30 1.2× 46 2.2× 17 427
Tanja Amerstorfer Austria 13 416 1.0× 133 0.5× 19 0.6× 21 0.8× 48 2.3× 25 437
J. S. Newmark United States 5 948 2.2× 178 0.7× 25 0.8× 27 1.0× 49 2.3× 16 956
Edmund Henley United Kingdom 7 297 0.7× 93 0.4× 30 0.9× 31 1.2× 34 1.6× 11 319

Countries citing papers authored by Lorenzo Trenchi

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Trenchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Trenchi

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Trenchi. A scholar is included among the top collaborators of Lorenzo Trenchi 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 Lorenzo Trenchi. Lorenzo Trenchi 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.
Kauristie, Kirsti, Octav Marghitu, Max van de Kamp, et al.. (2024). Joule Heating rate at high-latitudes by Swarm and ground-based observations compared to MHD simulations. Journal of Atmospheric and Solar-Terrestrial Physics. 260. 106254–106254. 1 indexed citations
2.
Buchert, S., Enkelejda Qamili, Jérôme Bouffard, et al.. (2022). Swarm Langmuir probes' data quality validation and future improvements. Geoscientific instrumentation, methods and data systems. 11(1). 149–162. 26 indexed citations
3.
Papadimitriou, Constantinos, Georgios Balasis, Ioannis A. Daglis, et al.. (2021). Swarm‐Derived Indices of Geomagnetic Activity. Journal of Geophysical Research Space Physics. 126(11). 4 indexed citations
4.
Trenchi, Lorenzo, John Coxon, R. C. Fear, et al.. (2019). Signatures of Magnetic Separatrices at the Borders of a Crater Flux Transfer Event Connected to an Active X‐Line. Journal of Geophysical Research Space Physics. 124(11). 8600–8616. 6 indexed citations
5.
Nowakowski, Artur, et al.. (2019). A machine learning approach to investigate possible signals in the ionosphere related to earthquake activity. EGUGA. 16719. 1 indexed citations
6.
Trattner, K. J., J. L. Burch, R. E. Ergun, et al.. (2017). The MMS Dayside Magnetic Reconnection Locations During Phase 1 and Their Relation to the Predictions of the Maximum Magnetic Shear Model. Journal of Geophysical Research Space Physics. 122(12). 35 indexed citations
7.
Trattner, K. J., Lorenzo Trenchi, S. A. Fuselier, et al.. (2017). On the occurrence of magnetic reconnection equatorward of the cusps at the Earth's magnetopause during northward IMF conditions. Journal of Geophysical Research Space Physics. 122(1). 605–617. 14 indexed citations
8.
Fear, R. C., Lorenzo Trenchi, John Coxon, & S. E. Milan. (2017). How Much Flux Does a Flux Transfer Event Transfer?. Journal of Geophysical Research Space Physics. 122(12). 27 indexed citations
9.
Smith, A. W., J. A. Slavin, C. M. Jackman, et al.. (2016). Automated force‐free flux rope identification. Journal of Geophysical Research Space Physics. 122(1). 780–791. 14 indexed citations
10.
Trenchi, Lorenzo, et al.. (2016). A sequence of flux transfer events potentially generated by different generation mechanisms. Journal of Geophysical Research Space Physics. 121(9). 8624–8639. 10 indexed citations
11.
Trenchi, Lorenzo, M. F. Marcucci, & R. C. Fear. (2015). The effect of diamagnetic drift on motion of the dayside magnetopause reconnection line. Geophysical Research Letters. 42(15). 6129–6136. 13 indexed citations
12.
Telloni, Daniele, R. Bruno, & Lorenzo Trenchi. (2015). RADIAL EVOLUTION OF SPECTRAL CHARACTERISTICS OF MAGNETIC FIELD FLUCTUATIONS AT PROTON SCALES. The Astrophysical Journal. 805(1). 46–46. 45 indexed citations
13.
Bruno, R. & Lorenzo Trenchi. (2014). RADIAL DEPENDENCE OF THE FREQUENCY BREAK BETWEEN FLUID AND KINETIC SCALES IN THE SOLAR WIND FLUCTUATIONS. The Astrophysical Journal Letters. 787(2). L24–L24. 87 indexed citations
14.
Trenchi, Lorenzo, R. Bruno, R. D’Amicis, M. F. Marcucci, & Daniele Telloni. (2013). Observations of IMF coherent structures and their relationship to SEP dropout events. Annales Geophysicae. 31(8). 1333–1341. 21 indexed citations
15.
Trenchi, Lorenzo, R. Bruno, Daniele Telloni, et al.. (2013). SOLAR ENERGETIC PARTICLE MODULATIONS ASSOCIATED WITH COHERENT MAGNETIC STRUCTURES. The Astrophysical Journal. 770(1). 11–11. 40 indexed citations
16.
Trenchi, Lorenzo, M. F. Marcucci, H. Rème, C. Carr, & Jinbin Cao. (2011). TC-1 observations of a flux rope: Generation by multiple X line reconnection. Journal of Geophysical Research Atmospheres. 116(A5). 23 indexed citations
17.
Trenchi, Lorenzo, M. F. Marcucci, G. Pallocchia, et al.. (2009). Magnetic reconnection at the dayside magnetopause with Double Star Tc1 data.. Memorie della Societa Astronomica Italiana. 80. 287. 6 indexed citations
18.
Trenchi, Lorenzo, M. F. Marcucci, G. Pallocchia, et al.. (2008). Occurrence of reconnection jets at the dayside magnetopause: Double Star observations. Journal of Geophysical Research Atmospheres. 113(A7). 71 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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