N. R. Schnepf

1.3k total citations
23 papers, 231 citations indexed

About

N. R. Schnepf is a scholar working on Molecular Biology, Astronomy and Astrophysics and Geophysics. According to data from OpenAlex, N. R. Schnepf has authored 23 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Astronomy and Astrophysics and 9 papers in Geophysics. Recurrent topics in N. R. Schnepf's work include Geomagnetism and Paleomagnetism Studies (11 papers), Earthquake Detection and Analysis (6 papers) and Astro and Planetary Science (6 papers). N. R. Schnepf is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (11 papers), Earthquake Detection and Analysis (6 papers) and Astro and Planetary Science (6 papers). N. R. Schnepf collaborates with scholars based in United States, Japan and Switzerland. N. R. Schnepf's co-authors include Alexey Kuvshinov, Hiroaki Toh, Terence J. Sabaka, Manoj Nair, Takuto Minami, C. Manoj, Nils Olsen, Alexander Grayver, Chandrasekharan Manoj and S. Maus and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Geophysical Research Letters.

In The Last Decade

N. R. Schnepf

20 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. R. Schnepf United States 9 132 126 98 63 17 23 231
Chandrasekharan Manoj United States 8 182 1.4× 159 1.3× 66 0.7× 151 2.4× 24 1.4× 10 324
Olivier Sirol France 6 122 0.9× 95 0.8× 35 0.4× 132 2.1× 10 0.6× 8 183
Gabriele Cambiotti Italy 13 143 1.1× 311 2.5× 242 2.5× 71 1.1× 25 1.5× 24 401
Jakub Velı́mský Czechia 12 227 1.7× 246 2.0× 99 1.0× 70 1.1× 24 1.4× 33 340
N. A. Palshin Russia 11 118 0.9× 300 2.4× 49 0.5× 45 0.7× 23 1.4× 44 354
B. Langlais France 5 151 1.1× 132 1.0× 45 0.5× 118 1.9× 48 2.8× 7 260
Thomas Grombein Germany 8 165 1.3× 160 1.3× 266 2.7× 65 1.0× 11 0.6× 16 298
T. I. Zvereva Russia 4 116 0.9× 83 0.7× 44 0.4× 92 1.5× 31 1.8× 8 182
Ellen Clarke United Kingdom 8 183 1.4× 190 1.5× 37 0.4× 252 4.0× 31 1.8× 18 366
Sarah Reay United Kingdom 6 168 1.3× 200 1.6× 24 0.2× 186 3.0× 10 0.6× 15 300

Countries citing papers authored by N. R. Schnepf

Since Specialization
Citations

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

Fields of papers citing papers by N. R. Schnepf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. R. Schnepf. 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 N. R. Schnepf. The network helps show where N. R. Schnepf may publish in the future.

Co-authorship network of co-authors of N. R. Schnepf

This figure shows the co-authorship network connecting the top 25 collaborators of N. R. Schnepf. A scholar is included among the top collaborators of N. R. Schnepf 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 N. R. Schnepf. N. R. Schnepf 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.
Love, Jeffrey J., Greg Lucas, Anna Kelbert, et al.. (2025). The Impact of the May 1921 Superstorm on American Telecommunication Systems. Space Weather. 23(7). 1 indexed citations
2.
Brain, D. A., et al.. (2025). Atmospheric Mass Flux as a Function of Ionospheric Emission on Unmagnetized Earth. Journal of Geophysical Research Space Physics. 130(8).
3.
Love, Jeffrey J., et al.. (2025). Mapping a Carrington Storm. Geophysical Research Letters. 52(19).
4.
Brain, D. A., et al.. (2024). Atmospheric ion escape and solar wind deposition as a function of planetary radius. Monthly Notices of the Royal Astronomical Society. 533(4). 3999–4006. 3 indexed citations
5.
Schnepf, N. R., Y. Dong, D. A. Brain, et al.. (2024). Solar and Solar Wind Energy Drivers for O+ and O2+ ${\mathrm{O}}_{2}^{+}$ Ion Escape at Mars. Journal of Geophysical Research Space Physics. 129(5). 2 indexed citations
6.
Peterson, W. K., D. A. Brain, N. R. Schnepf, et al.. (2024). Atmospheric Escape From Earth and Mars: Response to Solar and Solar Wind Drivers of Oxygen Escape. Geophysical Research Letters. 51(13). 1 indexed citations
7.
Halekas, J. S., et al.. (2024). Heavy Ion Escape at Mars during the Disappearing Solar Wind Event in 2022 December. The Astrophysical Journal. 975(2). 175–175. 3 indexed citations
8.
Chulliat, Arnaud, et al.. (2023). A Model of Hourly Variations of the Near‐Earth Magnetic Field Generated in the Inner Magnetosphere and Its Induced Counterpart. Journal of Geophysical Research Space Physics. 128(12).
9.
Weiss, B. P., N. R. Schnepf, Eduardo A. Lima, et al.. (2023). Magnetism of the Acapulco Primitive Achondrite and Implications for the Evolution of Partially Differentiated Bodies. Journal of Geophysical Research Planets. 128(12). 4 indexed citations
10.
Brain, D. A., Ofer Cohen, Kevin France, et al.. (2023). The Influence of Planetary and Stellar Characteristics on Atmospheric Escape and Habitability. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
11.
Schnepf, N. R., Takuto Minami, Hiroaki Toh, & Manoj Nair. (2022). Magnetic Signatures of the 15 January 2022 Hunga Tonga–Hunga Ha'apai Volcanic Eruption. Geophysical Research Letters. 49(10). 25 indexed citations
12.
Velı́mský, Jakub, et al.. (2021). Can seafloor voltage cables be used to study large-scale circulation? An investigation in the Pacific Ocean. Ocean science. 17(1). 383–392. 9 indexed citations
13.
Minami, Takuto, N. R. Schnepf, & Hiroaki Toh. (2021). Tsunami-generated magnetic fields have primary and secondary arrivals like seismic waves. Scientific Reports. 11(1). 2287–2287. 13 indexed citations
14.
Martinec, Z., et al.. (2019). Modelling of electromagnetic signatures of global ocean circulation: physical approximations and numerical issues. Earth Planets and Space. 71(1). 12 indexed citations
15.
Schnepf, N. R., Manoj Nair, Astrid Maute, et al.. (2018). A Comparison of Model‐Based Ionospheric and Ocean Tidal Magnetic Signals With Observatory Data. Geophysical Research Letters. 45(15). 7257–7267. 17 indexed citations
16.
Schnepf, N. R.. (2017). Going electric: Incorporating marine electromagnetism into ocean assimilation models. Journal of Advances in Modeling Earth Systems. 9(4). 1772–1775. 4 indexed citations
17.
Grayver, Alexander, N. R. Schnepf, Alexey Kuvshinov, et al.. (2016). Satellite tidal magnetic signals constrain oceanic lithosphere-asthenosphere boundary. Science Advances. 2(9). e1600798–e1600798. 49 indexed citations
18.
Schnepf, N. R., R. V. E. Lovelace, M. M. Romanova, & Vladimir Airapetian. (2015). Stellar wind erosion of protoplanetary discs. Monthly Notices of the Royal Astronomical Society. 448(2). 1628–1633. 6 indexed citations
19.
Schnepf, N. R., B. P. Weiss, Eduardo A. Lima, et al.. (2014). Paleomagnetism of a primitive achondrite parent body: The acapulcoite-lodranites. 2014 AGU Fall Meeting. 2014. 1 indexed citations
20.
Schnepf, N. R., C. Manoj, Alexey Kuvshinov, Hiroaki Toh, & S. Maus. (2014). Tidal signals in ocean-bottom magnetic measurements of the Northwestern Pacific: observation versus prediction. Geophysical Journal International. 198(2). 1096–1110. 34 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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