E. J. Piispa

654 total citations
14 papers, 466 citations indexed

About

E. J. Piispa is a scholar working on Geophysics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, E. J. Piispa has authored 14 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 10 papers in Molecular Biology and 8 papers in Atmospheric Science. Recurrent topics in E. J. Piispa's work include Geomagnetism and Paleomagnetism Studies (10 papers), Geological and Geochemical Analysis (8 papers) and Geology and Paleoclimatology Research (7 papers). E. J. Piispa is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (10 papers), Geological and Geochemical Analysis (8 papers) and Geology and Paleoclimatology Research (7 papers). E. J. Piispa collaborates with scholars based in United States, Ecuador and Finland. E. J. Piispa's co-authors include L. J. Pesonen, Andrew J. Biggin, Toni Veikkolainen, Greig A. Paterson, A. V. Smirnov, R. Holme, Lisa Tauxe, Jüri Plado, Pavel V. Doubrovine and George D. Kamenov and has published in prestigious journals such as Nature, Earth and Planetary Science Letters and Geological Society of America Bulletin.

In The Last Decade

E. J. Piispa

14 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. J. Piispa United States	8	357	292	202	66	43	14	466
Toni Veikkolainen Finland	12	336 0.9×	314 1.1×	208 1.0×	48 0.7×	43 1.0×	20	462
Evgeniy Kulakov Norway	13	386 1.1×	271 0.9×	210 1.0×	83 1.3×	55 1.3×	24	472
Luke M. Fairchild United States	7	384 1.1×	344 1.2×	264 1.3×	53 0.8×	109 2.5×	15	513
V. Mejia United States	7	375 1.1×	322 1.1×	279 1.4×	33 0.5×	45 1.0×	12	458
D. N. Thomas United Kingdom	13	326 0.9×	274 0.9×	266 1.3×	23 0.3×	26 0.6×	16	403
L. Jonestrask United States	2	318 0.9×	358 1.2×	304 1.5×	16 0.2×	66 1.5×	3	422
В. В. Щербакова Russia	16	553 1.5×	672 2.3×	437 2.2×	15 0.2×	51 1.2×	45	704
D. Johnson United States	4	267 0.7×	210 0.7×	106 0.5×	30 0.5×	11 0.3×	10	314
G. V. Zhidkov Russia	11	260 0.7×	291 1.0×	195 1.0×	11 0.2×	34 0.8×	27	313
N. A. Jarboe United States	10	408 1.1×	376 1.3×	372 1.8×	50 0.8×	119 2.8×	19	566

Countries citing papers authored by E. J. Piispa

Since Specialization

Citations

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

Fields of papers citing papers by E. J. Piispa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. J. Piispa. 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 E. J. Piispa. The network helps show where E. J. Piispa may publish in the future.

Co-authorship network of co-authors of E. J. Piispa

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Piispa. A scholar is included among the top collaborators of E. J. Piispa 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 E. J. Piispa. E. J. Piispa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Piispa, E. J., et al.. (2023). Meso-scale Standard Evapotranspiration ‘Climate’ Classification Derived From Numerical Weather Prediction Models And Artificial Intelligence. 3842–3845. 1 indexed citations

Piispa, E. J., et al.. (2022). Evaluation of Evapotranspiration Classification Using Self Organizing Maps and Weather Research and Forecasting Variables. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 3195–3198. 2 indexed citations

Piispa, E. J., et al.. (2022). Paleomagnetism and rock magnetism as tools for volcanology. Bulletin of Volcanology. 84(3). 7 indexed citations

Turner, Gillian, et al.. (2021). Using paleomagnetism to test rolling hinge behaviour of an active continental low angle normal fault, Papua New Guinea. Earth and Planetary Science Letters. 558. 116745–116745. 3 indexed citations

Sprain, Courtney J., Andrew Biggin, Richard K. Bono, et al.. (2020). Assessing the Robustness of Long-term Field Variations in the Paleomagnetic Record. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Cronin, Shane J., et al.. (2019). Recognizing long-runout pyroclastic flow deposits using paleomagnetism of ash. Geological Society of America Bulletin. 131(11-12). 1783–1793. 10 indexed citations

Kulakov, Evgeniy, Courtney J. Sprain, Pavel V. Doubrovine, et al.. (2019). Analysis of an Updated Paleointensity Database (Q_PI‐PINT) for 65–200 Ma: Implications for the Long‐Term History of Dipole Moment Through the Mesozoic. Journal of Geophysical Research Solid Earth. 124(10). 9999–10022. 54 indexed citations

Doubrovine, Pavel V., Toni Veikkolainen, L. J. Pesonen, et al.. (2019). Latitude Dependence of Geomagnetic Paleosecular Variation and its Relation to the Frequency of Magnetic Reversals: Observations From the Cretaceous and Jurassic. Geochemistry Geophysics Geosystems. 20(3). 1240–1279. 56 indexed citations

Piispa, E. J., A. V. Smirnov, L. J. Pesonen, & Roger H. Mitchell. (2018). Paleomagnetism and Geochemistry of ~1144‐Ma Lamprophyre Dikes, Northwestern Ontario: Implications for the North American Polar Wander and Plate Velocities. Journal of Geophysical Research Solid Earth. 123(8). 6195–6214. 8 indexed citations

10.

Salminen, Johanna, Elson P. Oliveira, E. J. Piispa, A. V. Smirnov, & Ricardo I.F. Trindade. (2018). Revisiting the paleomagnetism of the Neoarchean Uauá mafic dyke swarm, Brazil: Implications for Archean supercratons. Precambrian Research. 329. 108–123. 17 indexed citations

11.

Smirnov, A. V., et al.. (2017). Nonheating methods for absolute paleointensity determination: Comparison and calibration using synthetic and natural magnetite‐bearing samples. Journal of Geophysical Research Solid Earth. 122(3). 1614–1633. 6 indexed citations

12.

Salminen, Johanna, David A.D. Evans, Ricardo I.F. Trindade, et al.. (2016). Paleogeography of the Congo/São Francisco craton at 1.5Ga: Expanding the core of Nuna supercontinent. Precambrian Research. 286. 195–212. 25 indexed citations

13.

Biggin, Andrew J., E. J. Piispa, L. J. Pesonen, et al.. (2015). Palaeomagnetic field intensity variations suggest Mesoproterozoic inner-core nucleation. Nature. 526(7572). 245–248. 171 indexed citations

14.

Piispa, E. J., Joseph G. Meert, L. J. Pesonen, et al.. (2013). Paleoproterozoic mafic dyke swarms from the Dharwar craton; paleomagnetic poles for India from 2.37 to 1.88Ga and rethinking the Columbia supercontinent. Precambrian Research. 244. 100–122. 105 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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