Tanja Petersen

816 total citations
32 papers, 594 citations indexed

About

Tanja Petersen is a scholar working on Geophysics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Tanja Petersen has authored 32 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 15 papers in Astronomy and Astrophysics and 6 papers in Artificial Intelligence. Recurrent topics in Tanja Petersen's work include Earthquake Detection and Analysis (21 papers), Ionosphere and magnetosphere dynamics (14 papers) and earthquake and tectonic studies (14 papers). Tanja Petersen is often cited by papers focused on Earthquake Detection and Analysis (21 papers), Ionosphere and magnetosphere dynamics (14 papers) and earthquake and tectonic studies (14 papers). Tanja Petersen collaborates with scholars based in New Zealand, United Kingdom and United States. Tanja Petersen's co-authors include Stephen R. McNutt, Craig J. Rodger, Michael D Dalzell, Daniel H. Mac Manus, Mark A. Clilverd, J. Caplan‐Auerbach, T. Divett, John Ristau, N. H. Gale and K. R. Gledhill and has published in prestigious journals such as Geophysical Research Letters, Journal of Volcanology and Geothermal Research and Bulletin of Volcanology.

In The Last Decade

Tanja Petersen

28 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Petersen New Zealand 15 516 230 118 90 35 32 594
Essam Ghamry Egypt 13 293 0.6× 221 1.0× 113 1.0× 94 1.0× 28 0.8× 49 428
C. P. Legendre Taiwan 14 813 1.6× 302 1.3× 84 0.7× 78 0.9× 30 0.9× 24 868
Shufan Zhao China 15 555 1.1× 183 0.8× 45 0.4× 142 1.6× 36 1.0× 58 655
Yu. V. Fedorenko Russia 9 128 0.2× 152 0.7× 44 0.4× 38 0.4× 18 0.5× 55 261
Enkelejda Qamili Italy 11 208 0.4× 104 0.5× 168 1.4× 54 0.6× 14 0.4× 24 343
Kusumita Arora India 13 401 0.8× 117 0.5× 91 0.8× 40 0.4× 27 0.8× 62 496
A. A. Namgaladze Russia 15 579 1.1× 498 2.2× 203 1.7× 63 0.7× 19 0.5× 66 793
G. S. Richardson United Kingdom 12 275 0.5× 212 0.9× 132 1.1× 14 0.2× 38 1.1× 22 360
V. A. Pilipenko Russia 13 240 0.5× 308 1.3× 198 1.7× 22 0.2× 31 0.9× 35 408
J.Y. Liu Taiwan 14 339 0.7× 203 0.9× 58 0.5× 75 0.8× 8 0.2× 23 444

Countries citing papers authored by Tanja Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Petersen. A scholar is included among the top collaborators of Tanja Petersen 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 Tanja Petersen. Tanja Petersen 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.
Rodger, Craig J., et al.. (2026). The MANA Magnetometer Array, and Magnetic Observations Across New Zealand From 2024. Space Weather. 24(2).
2.
Smith, A. W., Craig J. Rodger, Daniel H. Mac Manus, et al.. (2024). Sudden Commencements and Geomagnetically Induced Currents in New Zealand: Correlations and Dependance. Space Weather. 22(1). 5 indexed citations
3.
Rodger, Craig J., Mark A. Clilverd, Daniel H. Mac Manus, et al.. (2024). Even‐Order Harmonic Distortion Observations During Multiple Geomagnetic Disturbances: Investigation From New Zealand. Space Weather. 22(5). 2 indexed citations
5.
Hartinger, Michael D., Xueling Shi, Craig J. Rodger, et al.. (2023). Determining ULF Wave Contributions to Geomagnetically Induced Currents: The Important Role of Sampling Rate. Space Weather. 21(5). 11 indexed citations
6.
Manus, Daniel H. Mac, Craig J. Rodger, Michael D Dalzell, et al.. (2022). Geomagnetically Induced Current Modeling in New Zealand: Extreme Storm Analysis Using Multiple Disturbance Scenarios and Industry Provided Hazard Magnitudes. Space Weather. 20(12). 14 indexed citations
7.
Manus, Daniel H. Mac, Craig J. Rodger, M. Ingham, et al.. (2022). Geomagnetically Induced Current Model in New Zealand Across Multiple Disturbances: Validation and Extension to Non‐Monitored Transformers. Space Weather. 20(2). 21 indexed citations
8.
Rodger, Craig J., Mark A. Clilverd, Daniel H. Mac Manus, et al.. (2020). Geomagnetically Induced Currents and Harmonic Distortion: Storm‐Time Observations From New Zealand. Space Weather. 18(3). 27 indexed citations
9.
Ingham, M., Craig J. Rodger, Daniel H. Mac Manus, et al.. (2020). Calculation of GIC in the North Island of New Zealand Using MT Data and Thin‐Sheet Modeling. Space Weather. 18(11). 15 indexed citations
10.
Knipp, D. J., Mike Hapgood, D. T. Welling, et al.. (2018). Space Weather Quarterly Volume 14, Issue 4, 2017. 14(4). 1–30. 1 indexed citations
11.
Clilverd, Mark A., Craig J. Rodger, J. B. Brundell, et al.. (2018). Long‐Lasting Geomagnetically Induced Currents and Harmonic Distortion Observed in New Zealand During the 7–8 September 2017 Disturbed Period. Space Weather. 16(6). 704–717. 54 indexed citations
12.
Manus, Daniel H. Mac, Craig J. Rodger, Michael D Dalzell, et al.. (2017). Long‐term geomagnetically induced current observations in New Zealand: Earth return corrections and geomagnetic field driver. Space Weather. 15(8). 1020–1038. 56 indexed citations
13.
Petersen, Tanja, John Ristau, John Beavan, et al.. (2009). THE MW 6.7 GEORGE SOUND EARTHQUAKE OF OCTOBER 15, 2007: RESPONSE AND PRELIMINARY RESULTS. 4 indexed citations
14.
Petersen, Tanja. (2007). Swarms of repeating long-period earthquakes at Shishaldin Volcano, Alaska, 2001–2004. Journal of Volcanology and Geothermal Research. 166(3-4). 177–192. 48 indexed citations
15.
Petersen, Tanja, Silvio De Angelis, Guy Tytgat, & Stephen R. McNutt. (2006). Local infrasound observations of large ash explosions at Augustine Volcano, Alaska, during January 11–28, 2006. Geophysical Research Letters. 33(12). 31 indexed citations
16.
Petersen, Tanja, J. Caplan‐Auerbach, & Stephen R. McNutt. (2005). Sustained long-period seismicity at Shishaldin Volcano, Alaska. Journal of Volcanology and Geothermal Research. 151(4). 365–381. 32 indexed citations
17.
Petersen, Tanja, et al.. (2002). Temporal Distribution and Rates of Repetitive Low-Frequency Earthquakes at Shishaldin Volcano, Alaska. AGUFM. 2002. 3 indexed citations
18.
Caplan‐Auerbach, J., Tanja Petersen, & Stephen R. McNutt. (2002). Unusual Hybrid Earthquakes at Shishaldin Volcano, Alaska. AGUFM. 2002. 2 indexed citations
19.
Murray, Thomas L., John A. Power, Jeffrey T. Freymueller, et al.. (2002). PBO-Style Seismic and Geodetic Monitoring at Frequently-Active Aleutian Arc Volcanoes. AGU Fall Meeting Abstracts. 2002. 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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