M. Fedrizzi

899 total citations
35 papers, 588 citations indexed

About

M. Fedrizzi is a scholar working on Astronomy and Astrophysics, Molecular Biology and Aerospace Engineering. According to data from OpenAlex, M. Fedrizzi has authored 35 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 15 papers in Molecular Biology and 11 papers in Aerospace Engineering. Recurrent topics in M. Fedrizzi's work include Ionosphere and magnetosphere dynamics (27 papers), Geomagnetism and Paleomagnetism Studies (15 papers) and Solar and Space Plasma Dynamics (13 papers). M. Fedrizzi is often cited by papers focused on Ionosphere and magnetosphere dynamics (27 papers), Geomagnetism and Paleomagnetism Studies (15 papers) and Solar and Space Plasma Dynamics (13 papers). M. Fedrizzi collaborates with scholars based in United States, Brazil and France. M. Fedrizzi's co-authors include M. Codrescu, T. J. Fuller‐Rowell, T. J. Fuller‐Rowell, Tomoko Matsuo, R. A. Viereck, Sean Bruinsma, E. A. Araujo‐Pradere, E. K. Sutton, Timothy J. Fuller‐Rowell and Naomi Maruyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

M. Fedrizzi

32 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Fedrizzi United States	14	537	191	190	144	137	35	588
C.C. Hsiao Taiwan	8	530 1.0×	299 1.6×	149 0.8×	196 1.4×	76 0.6×	12	602
S. S. Matyugov Russia	11	289 0.5×	97 0.5×	88 0.5×	119 0.8×	84 0.6×	34	343
J. M. Smith United States	11	449 0.8×	66 0.3×	136 0.7×	113 0.8×	46 0.3×	27	507
William B. Gail United States	11	405 0.8×	166 0.9×	189 1.0×	90 0.6×	28 0.2×	17	497
I. A. Adimula Nigeria	15	487 0.9×	249 1.3×	112 0.6×	267 1.9×	74 0.5×	52	605
Nobuki Kotake Japan	5	417 0.8×	359 1.9×	76 0.4×	209 1.5×	41 0.3×	6	488
O. K. Obrou Ivory Coast	13	490 0.9×	254 1.3×	121 0.6×	258 1.8×	93 0.7×	24	520
Narayan P. Chapagain Nepal	14	468 0.9×	229 1.2×	124 0.7×	146 1.0×	61 0.4×	70	542
Z. Ren China	12	443 0.8×	221 1.2×	171 0.9×	118 0.8×	60 0.4×	15	476
J. Y. Liu Taiwan	10	482 0.9×	292 1.5×	138 0.7×	151 1.0×	45 0.3×	12	515

Countries citing papers authored by M. Fedrizzi

Since Specialization

Citations

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

Fields of papers citing papers by M. Fedrizzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fedrizzi

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

Jee, Geonhwa, J. S. Shim, In‐Sun Song, et al.. (2025). Assessment of Current Capabilities in Modeling the Ionospheric Climatology for Space Weather Applications: foF2 and hmF2‐II. Space Weather. 23(6).

Shim, J. S., In‐Sun Song, Geonhwa Jee, et al.. (2023). Validation of Ionospheric Specifications During Geomagnetic Storms: TEC and foF2 During the 2013 March Storm Event‐II. Space Weather. 21(5). 4 indexed citations

He, Jianhui, Elvira Astafyeva, Xinan Yue, et al.. (2023). Comparison of Empirical and Theoretical Models of the Thermospheric Density Enhancement During the 3–4 February 2022 Geomagnetic Storm. Space Weather. 21(9). 9 indexed citations

Codrescu, M., et al.. (2022). Storm time neutral density assimilation in the thermosphere ionosphere with TIDA. Journal of Space Weather and Space Climate. 12. 16–16. 3 indexed citations

Bruinsma, Sean, C. Boniface, E. K. Sutton, & M. Fedrizzi. (2021). Thermosphere modeling capabilities assessment: geomagnetic storms. Journal of Space Weather and Space Climate. 11. 12–12. 26 indexed citations

Lejosne, Solène, M. Fedrizzi, Naomi Maruyama, & R. S. Selesnick. (2021). Thermospheric Neutral Winds as the Cause of Drift Shell Distortion in Earth’s Inner Radiation Belt. Frontiers in Astronomy and Space Sciences. 8. 5 indexed citations

Codrescu, M., et al.. (2020). On Space Weather Data Assimilation. elib (German Aerospace Center).

Bhattacharyya, A., M. Fedrizzi, T. J. Fuller‐Rowell, et al.. (2019). Effect of Magnetic Storm Related Thermospheric Changes on the Evolution of Equatorial Plasma Bubbles. Journal of Geophysical Research Space Physics. 124(3). 2256–2270. 7 indexed citations

Sperandio, Giulio, et al.. (2017). Increasing the Value of Spent Grain from Craft Microbreweries for Energy Purposes. SHILAP Revista de lepidopterología. 29 indexed citations

10.

Elvidge, Sean, Matthew Angling, M. Codrescu, et al.. (2017). A community wide ionospheric modelling challenge. University of Birmingham Research Portal (University of Birmingham). 2 indexed citations

11.

Bruinsma, Sean & M. Fedrizzi. (2012). Simultaneous Observations of TADs in GOCE, CHAMP and GRACE Density Data Compared with CTIPe. AGUFM. 2012. 2 indexed citations

12.

Araujo‐Pradere, E. A., Tzu‐Wei Fang, D. N. Anderson, M. Fedrizzi, & R. Stoneback. (2012). Modeling the daytime, equatorial ionospheric ion densities associated with the observed, four‐cell longitude patterns in E × B drift velocities. Radio Science. 47(4). 6 indexed citations

13.

Fedrizzi, M., et al.. (2012). A prototype machine for harvesting and chipping of pruning residues: first test on hazelnut plantation (Corylus avellana L.).. 2 indexed citations

14.

Fedrizzi, M., T. J. Fuller‐Rowell, & M. Codrescu. (2012). Global Joule heating index derived from thermospheric density physics‐based modeling and observations. Space Weather. 10(3). 41 indexed citations

15.

Fuller‐Rowell, T. J., R. A. Akmaev, Fei Wu, et al.. (2011). Did the January 2009 sudden stratospheric warming cool or warm the thermosphere?. Geophysical Research Letters. 38(18). n/a–n/a. 33 indexed citations

16.

Codrescu, M., et al.. (2011). A real‐time run of the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics (CTIPe) model. Space Weather. 10(2). 65 indexed citations

17.

Fedrizzi, M., E. R. de Paula, Richard B. Langley, et al.. (2005). Study of the March 31, 2001 magnetic storm effects on the ionosphere using GPS data. Advances in Space Research. 36(3). 534–545. 19 indexed citations

18.

Fedrizzi, M., Richard B. Langley, A. Komjáthy, et al.. (2001). The Low-latitude Ionosphere: Monitoring its Behaviour with GPS. Proceedings of the 14th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2001). 2468–2475. 32 indexed citations

19.

Kantor, I. J., M. Fedrizzi, & E. R. de Paula. (2000). Total ionospheric electron content from GPS measurements over the Brazilian region. Geofísica Internacional. 39(1). 81–85. 1 indexed citations

20.

Fedrizzi, M.. (1999). Observações do Conteúdo Eletrônico Total com dados do GPS. Brazilian Journal of Geophysics. 17(2-3). 221–221. 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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