Camilla Scolini

889 total citations
45 papers, 500 citations indexed

About

Camilla Scolini is a scholar working on Astronomy and Astrophysics, Molecular Biology and Oceanography. According to data from OpenAlex, Camilla Scolini has authored 45 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 16 papers in Molecular Biology and 7 papers in Oceanography. Recurrent topics in Camilla Scolini's work include Solar and Space Plasma Dynamics (41 papers), Ionosphere and magnetosphere dynamics (32 papers) and Geomagnetism and Paleomagnetism Studies (16 papers). Camilla Scolini is often cited by papers focused on Solar and Space Plasma Dynamics (41 papers), Ionosphere and magnetosphere dynamics (32 papers) and Geomagnetism and Paleomagnetism Studies (16 papers). Camilla Scolini collaborates with scholars based in United States, Belgium and Poland. Camilla Scolini's co-authors include Stefaan Poedts, Jens Pomoell, L. Rodríguez, M. Mierla, R. M. Winslow, Noé Lugaz, C. Verbeke, A. B. Galvin, Jasmina Magdalenić and E. Chané and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and Solar Physics.

In The Last Decade

Camilla Scolini

41 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camilla Scolini United States 14 478 166 39 37 16 45 500
C. Verbeke Belgium 10 388 0.8× 136 0.8× 51 1.3× 44 1.2× 24 1.5× 17 416
R. C. Colaninno United States 15 687 1.4× 186 1.1× 24 0.6× 55 1.5× 19 1.2× 25 698
Jürgen Hinterreiter Austria 12 280 0.6× 84 0.5× 29 0.7× 34 0.9× 17 1.1× 17 300
M. Mierla Romania 21 989 2.1× 232 1.4× 44 1.1× 83 2.2× 15 0.9× 69 1.0k
Erika Palmerio United States 14 560 1.2× 187 1.1× 23 0.6× 36 1.0× 17 1.1× 54 575
Tanja Amerstorfer Austria 13 416 0.9× 133 0.8× 37 0.9× 48 1.3× 21 1.3× 25 437
Alexey Isavnin Finland 11 510 1.1× 189 1.1× 24 0.6× 28 0.8× 9 0.6× 19 524
Q. M. Zhang China 14 611 1.3× 116 0.7× 18 0.5× 37 1.0× 13 0.8× 21 617
Karin Dissauer Austria 13 445 0.9× 91 0.5× 13 0.3× 70 1.9× 9 0.6× 33 468
Zhining Qu China 11 278 0.6× 84 0.5× 32 0.8× 30 0.8× 21 1.3× 22 291

Countries citing papers authored by Camilla Scolini

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Scolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Scolini

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Scolini. A scholar is included among the top collaborators of Camilla Scolini 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 Camilla Scolini. Camilla Scolini 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.
Lugaz, Noé, Bin Zhuang, Camilla Scolini, et al.. (2024). The Width of Magnetic Ejecta Measured near 1 au: Lessons from STEREO-A Measurements in 2021–2022. The Astrophysical Journal. 962(2). 193–193. 8 indexed citations
2.
Scolini, Camilla, et al.. (2024). Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness. Space Weather. 22(5). 2 indexed citations
3.
Rodríguez, L., C. Verbeke, Jasmina Magdalenić, et al.. (2024). Validation of EUHFORIA cone and spheromak coronal mass ejection models. Astronomy and Astrophysics. 689. A187–A187. 2 indexed citations
4.
Lugaz, Noé, Christina O. Lee, L. K. Jian, et al.. (2023). The Multi-spacecraft Heliospheric Mission (MHM). 2 indexed citations
5.
Török, Tibor, Noé Lugaz, Christina O. Lee, et al.. (2023). Learn to Walk Before You Run: A Case for Fundamental CME Research Utilizing Idealized MHD Models. 2 indexed citations
6.
Scolini, Camilla, et al.. (2023). Rotation and interaction of the CMEs of September 8 and 10, 2014, tested with EUHFORIA. Astronomy and Astrophysics. 675. A136–A136. 16 indexed citations
7.
Lee, Christina O., Majd Mayyasi, Shaosui Xu, et al.. (2023). Heliophysics and Space Weather Science at ~1.5 AU: Knowledge Gaps and Need for Solar and Solar Wind Monitors at Mars. 1 indexed citations
8.
Wood, Brian E., Erika Palmerio, S. E. Gibson, et al.. (2023). Sensing CME Magnetic Fields En Route to 1 AU. 55(3). 1 indexed citations
9.
Lugaz, Noé, Nada Al-Haddad, Tibor Török, et al.. (2023). he Importance of Fundamental Research on the Upper Coronal and Heliospheric Evolution of Coronal Mass Ejections. 1 indexed citations
10.
Palmerio, Erika, B. J. Lynch, Camilla Scolini, et al.. (2023). Modeling a Coronal Mass Ejection from an Extended Filament Channel. II. Interplanetary Propagation to 1 au. The Astrophysical Journal. 958(1). 91–91. 9 indexed citations
11.
Zhuang, Bin, Noé Lugaz, Nada Al-Haddad, et al.. (2023). Evolution of the Radial Size and Expansion of Coronal Mass Ejections Investigated by Combining Remote and In Situ Observations. The Astrophysical Journal. 952(1). 7–7. 5 indexed citations
12.
Verbeke, C., B. Schmieder, P. Démoulin, et al.. (2022). Over-expansion of coronal mass ejections modelled using 3D MHD EUHFORIA simulations. Advances in Space Research. 70(6). 1663–1683. 5 indexed citations
13.
Pinto, Rui, Jasmina Magdalenić, Nicolas Wijsen, et al.. (2021). Implementing the MULTI-VP coronal model in EUHFORIA: Test case results and comparisons with the WSA coronal model. Springer Link (Chiba Institute of Technology). 3 indexed citations
14.
Scolini, Camilla, S. Dasso, L. Rodríguez, A. N. Zhukov, & Stefaan Poedts. (2021). Exploring the radial evolution of interplanetary coronal mass ejections using EUHFORIA. Springer Link (Chiba Institute of Technology). 11 indexed citations
15.
Dumbović, Mateja, M. L. Mays, Pete Riley, et al.. (2021). Forecasting the arrival time of coronal mass ejections. 43. 1038. 2 indexed citations
16.
Scolini, Camilla, E. Chané, Jens Pomoell, L. Rodríguez, & Stefaan Poedts. (2020). Improving Predictions of High‐Latitude Coronal Mass Ejections Throughout the Heliosphere. Space Weather. 18(3). 7 indexed citations
17.
Palmerio, Erika, Camilla Scolini, David Barnes, et al.. (2019). Multipoint study of successive coronal mass ejections driving moderate disturbances at 1 au. ePubs (Science and Technology Facilities Council, Research Councils UK). 18 indexed citations
18.
Scolini, Camilla, L. Rodríguez, M. Mierla, Jens Pomoell, & Stefaan Poedts. (2019). Observation-based modelling of magnetised coronal mass ejections with EUHFORIA. Springer Link (Chiba Institute of Technology). 72 indexed citations
19.
Scolini, Camilla, L. Rodríguez, Manuela Temmer, et al.. (2019). Investigating the evolution and interactions of the September 2017 CME events with EUHFORIA. The EGU General Assembly. 1. 2 indexed citations
20.
Verbeke, C., Camilla Scolini, Jens Pomoell, & Stefaan Poedts. (2018). Modeling Coronal Mass Ejections with EUHFORIA: A Parameter Study of a magnetized Flux Rope Model. 42. 192. 1 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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