Mateja Dumbović

2.1k total citations
61 papers, 1.3k citations indexed

About

Mateja Dumbović is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mateja Dumbović has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Astronomy and Astrophysics, 16 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Mateja Dumbović's work include Solar and Space Plasma Dynamics (56 papers), Ionosphere and magnetosphere dynamics (41 papers) and Astro and Planetary Science (16 papers). Mateja Dumbović is often cited by papers focused on Solar and Space Plasma Dynamics (56 papers), Ionosphere and magnetosphere dynamics (41 papers) and Astro and Planetary Science (16 papers). Mateja Dumbović collaborates with scholars based in Croatia, Austria and United States. Mateja Dumbović's co-authors include B. Vršnak, Manuela Temmer, Astrid Veronig, Jaša Čalogović, Christian Möstl, T. Žic, T. Rollett, M. L. Mays, D. Sudar and S. Lulić and has published in prestigious journals such as Nature Communications, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Mateja Dumbović

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateja Dumbović Croatia 19 1.3k 363 105 95 59 61 1.3k
M. L. Mays United States 25 1.5k 1.2× 476 1.3× 125 1.2× 99 1.0× 80 1.4× 66 1.6k
A. V. Usmanov United States 19 1.3k 1.0× 411 1.1× 103 1.0× 40 0.4× 70 1.2× 41 1.3k
H. Xie United States 27 2.2k 1.7× 458 1.3× 190 1.8× 91 1.0× 86 1.5× 73 2.3k
G. Stenborg United States 23 2.5k 1.9× 488 1.3× 244 2.3× 49 0.5× 44 0.7× 103 2.5k
Christian Möstl Austria 30 2.9k 2.2× 882 2.4× 147 1.4× 74 0.8× 97 1.6× 100 2.9k
S. Patsourakos United States 26 2.3k 1.8× 418 1.2× 197 1.9× 62 0.7× 41 0.7× 66 2.3k
A. G. Ling United States 22 1.4k 1.1× 426 1.2× 186 1.8× 145 1.5× 71 1.2× 50 1.4k
P. Mäkelä United States 22 1.6k 1.2× 239 0.7× 170 1.6× 45 0.5× 43 0.7× 67 1.6k
K. Fujiki Japan 19 1.3k 1.0× 267 0.7× 79 0.8× 136 1.4× 102 1.7× 87 1.3k
V. J. Pizzo United States 20 1.8k 1.4× 487 1.3× 91 0.9× 71 0.7× 97 1.6× 43 1.8k

Countries citing papers authored by Mateja Dumbović

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Dumbović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateja Dumbović

This figure shows the co-authorship network connecting the top 25 collaborators of Mateja Dumbović. A scholar is included among the top collaborators of Mateja Dumbović 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 Mateja Dumbović. Mateja Dumbović 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.
Čalogović, Jaša, et al.. (2025). Constraints to the drag-based reverse modeling. Astronomy and Astrophysics. 695. A64–A64. 1 indexed citations
2.
Podladchikova, Tatiana, et al.. (2025). Coronal Mass Ejection Arrival Forecasting with the Drag-based Assimilation of Satellite Observations. The Astrophysical Journal Supplement Series. 281(2). 29–29.
3.
Dumbović, Mateja, et al.. (2024). Deriving the Interaction Point between a Coronal Mass Ejection and High-speed Stream: A Case Study. The Astrophysical Journal. 974(1). 140–140.
4.
Podladchikova, Tatiana, et al.. (2024). Estimating the early propagation direction of the coronal mass ejection with DIRECD during the severe event on May 8 and for the follow-up event on June 8, 2024. Astronomy and Astrophysics. 692. A214–A214. 2 indexed citations
5.
Podladchikova, Tatiana, et al.. (2024). Three-part structure of a solar coronal mass ejection observed in low coronal signatures of Solar Orbiter. Astronomy and Astrophysics. 691. A344–A344. 3 indexed citations
6.
Dumbović, Mateja, et al.. (2024). The Catalog of Hvar Observatory Solar Observations. Solar Physics. 299(5).
7.
Dumbović, Mateja, et al.. (2024). Early Evolution of Earth-Directed Coronal Mass Ejections in the Vicinity of Coronal Holes. Solar Physics. 299(6).
8.
Podladchikova, Tatiana, Karin Dissauer, Astrid Veronig, et al.. (2023). Three-dimensional relation between coronal dimming, filament eruption, and CME. Astronomy and Astrophysics. 678. A166–A166. 12 indexed citations
9.
Rodríguez‐García, Laura, Teresa Nieves‐Chinchilla, R. Gómez‐Herrero, et al.. (2022). Evidence of a complex structure within the 2013 August 19 coronal mass ejection. Astronomy and Astrophysics. 662. A45–A45. 10 indexed citations
10.
Lilensten, Jean, Mateja Dumbović, Luca Spogli, et al.. (2021). Quo vadis, European Space Weather community?. Journal of Space Weather and Space Climate. 11. 26–26. 2 indexed citations
11.
Rodríguez‐García, Laura, R. Gómez‐Herrero, I. Zouganelis, et al.. (2021). The unusual widespread solar energetic particle event on 2013 August 19. Astronomy and Astrophysics. 653. A137–A137. 17 indexed citations
12.
Čalogović, Jaša, Mateja Dumbović, D. Sudar, et al.. (2021). Drag-Based Ensemble Model (DBEM) to predict the heliospheric propagation of CMEs. 2 indexed citations
13.
Belov, А. V., Athanasios Papaioannou, М. А. Аbunina, et al.. (2021). On the Rigidity Spectrum of Cosmic-Ray Variations within Propagating Interplanetary Disturbances: Neutron Monitor and SOHO/EPHIN Observations at ∼1–10 GV. The Astrophysical Journal. 908(1). 5–5. 10 indexed citations
14.
Čalogović, Jaša, Mateja Dumbović, D. Sudar, et al.. (2021). Probabilistic Drag-Based Ensemble Model (DBEM) Evaluation for Heliospheric Propagation of CMEs. Solar Physics. 296(7). 26 indexed citations
15.
Forstner, J. L. Freiherr von, Jingnan Guo, R. F. Wimmer‐Schweingruber, et al.. (2020). Comparing the Properties of ICME‐Induced Forbush Decreases at Earth and Mars. Journal of Geophysical Research Space Physics. 125(3). 16 indexed citations
16.
Čalogović, Jaša, Mateja Dumbović, B. Vršnak, et al.. (2020). Predicting heliospheric propagation of CMEs with probabilistic Drag-Based Ensemble Model (DBEM). 1 indexed citations
17.
Forstner, J. L. Freiherr von, Jingnan Guo, R. F. Wimmer‐Schweingruber, et al.. (2019). Tracking and Validating ICMEs Propagating Toward Mars Using STEREO Heliospheric Imagers Combined With Forbush Decreases Detected by MSL/RAD. Space Weather. 17(4). 586–598. 7 indexed citations
18.
Guo, Jingnan, Mateja Dumbović, R. F. Wimmer‐Schweingruber, et al.. (2018). Modeling the Evolution and Propagation of 10 September 2017 CMEs and SEPs Arriving at Mars Constrained by Remote Sensing and In Situ Measurement. Space Weather. 16(8). 1156–1169. 45 indexed citations
19.
Riley, Pete, M. L. Mays, Jesse Andries, et al.. (2018). Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard. Space Weather. 16(9). 1245–1260. 99 indexed citations
20.
Möstl, Christian, Martin Reiß, Tanja Amerstorfer, et al.. (2018). Statistics and parameters of solar coronal mass ejections in the inner heliosphere: what to expect for Parker Solar Probe?. EGUGA. 3293. 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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