J. A. Wanliss

1.1k total citations
42 papers, 824 citations indexed

About

J. A. Wanliss is a scholar working on Molecular Biology, Astronomy and Astrophysics and Economics and Econometrics. According to data from OpenAlex, J. A. Wanliss has authored 42 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Astronomy and Astrophysics and 14 papers in Economics and Econometrics. Recurrent topics in J. A. Wanliss's work include Geomagnetism and Paleomagnetism Studies (19 papers), Ionosphere and magnetosphere dynamics (16 papers) and Complex Systems and Time Series Analysis (14 papers). J. A. Wanliss is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (19 papers), Ionosphere and magnetosphere dynamics (16 papers) and Complex Systems and Time Series Analysis (14 papers). J. A. Wanliss collaborates with scholars based in United States, Canada and Australia. J. A. Wanliss's co-authors include Vo Anh, R. Rankin, Zu‐Guo Yu, J. C. Samson, V. M. Uritsky, J. M. Weygand, V. T. Tikhonchuk, M. A. Reynolds, Dong Mao and Yang Wang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Biomedicine & Pharmacotherapy.

In The Last Decade

J. A. Wanliss

39 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. A. Wanliss United States	15	504	427	290	224	88	42	824
Tom Chang United States	15	510 1.0×	288 0.7×	189 0.7×	132 0.6×	61 0.7×	39	667
J. Takalo Finland	14	378 0.8×	320 0.7×	191 0.7×	188 0.8×	61 0.7×	38	616
M.J.A. Bolzan Brazil	18	522 1.0×	247 0.6×	302 1.0×	134 0.6×	75 0.9×	62	796
M. F. Marcucci Italy	22	1.2k 2.4×	650 1.5×	312 1.1×	99 0.4×	63 0.7×	89	1.4k
Fabio Lepreti Italy	17	774 1.5×	320 0.7×	116 0.4×	104 0.5×	99 1.1×	65	992
M. Candidi Italy	15	552 1.1×	286 0.7×	237 0.8×	57 0.3×	30 0.3×	65	673
Wiesław M. Macek Poland	20	808 1.6×	357 0.8×	67 0.2×	366 1.6×	286 3.3×	82	1.1k
R. L. McPherron United States	23	1.8k 3.6×	1.2k 2.8×	761 2.6×	106 0.5×	61 0.7×	59	2.0k
Emiliya Yordanova Sweden	17	674 1.3×	340 0.8×	180 0.6×	54 0.2×	43 0.5×	46	745
Marius Echim Belgium	16	659 1.3×	257 0.6×	152 0.5×	53 0.2×	26 0.3×	55	739

Countries citing papers authored by J. A. Wanliss

Since Specialization

Citations

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

Fields of papers citing papers by J. A. Wanliss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Wanliss

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

Ojo, Stephen, et al.. (2025). Evaluating machine learning models for stroke prediction based on clinical variables. Frontiers in Neurology. 16. 1668420–1668420. 2 indexed citations

Golmankhaneh, Alireza Khalili & J. A. Wanliss. (2024). Expansion of the universe on fractal time: A study on the dynamics of cosmic growth. International Journal of Modern Physics A. 39(13n14). 1 indexed citations

Ojo, Stephen, J. A. Wanliss, Muhammad Umer, et al.. (2024). LesionNet: an automated approach for skin lesion classification using SIFT features with customized convolutional neural network. Frontiers in Medicine. 11. 1487270–1487270. 4 indexed citations

Ojo, Stephen, J. A. Wanliss, Muhammad Umer, et al.. (2024). Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence. Frontiers in Computational Neuroscience. 18. 1489463–1489463. 3 indexed citations

Wanliss, J. A., et al.. (2017). Superposed epoch analysis of physiological fluctuations: possible space weather connections. International Journal of Biometeorology. 62(3). 449–457. 13 indexed citations

Wanliss, J. A., Vı́ctor Muñoz, Denisse Pastén, B. A. Toledo, & J. A. Valdivia. (2015). Critical behavior in earthquake energy dissipation. 1 indexed citations

Wanliss, J. A.. (2014). Nonlinear variability of SYM-H over two solar cycles. Earth Planets and Space. 56(5). e13–e16. 7 indexed citations

Wanliss, J. A., et al.. (2013). Dealing with non-stationarities in violence data using empirical mode decomposition. 16(2). 9.

Wanliss, J. A., et al.. (2012). Fractal properties of conflict in Afghanistan revisited. 15(3). 31.

10.

Wanliss, J. A., M. F. Larsen, D. Vassiliadis, et al.. (2011). In-situ observations of high-latitude thermosphere-mesosphere turbulence. AIP conference proceedings. 82–86. 1 indexed citations

11.

Wanliss, J. A.. (2007). When is it alright to use SYM-H as a storm index?. AGU Fall Meeting Abstracts. 2007. 1 indexed citations

12.

Wanliss, J. A., et al.. (2006). Nonlinear stability of the near-Earth plasma sheet during substorms: 9 February 1995 event. Canadian Journal of Physics. 84(12). 1029–1047. 2 indexed citations

13.

Wanliss, J. A., et al.. (2006). Nonlinear stability of the near-earth plasma sheet during substorms. 1 indexed citations

14.

Anh, Vo, et al.. (2005). Prediction of magnetic storm events using the <i>D<sub>st</sub></i> index. Nonlinear processes in geophysics. 12(6). 799–806. 13 indexed citations

15.

Mitsutake, G., Kuniaki Otsuka, Ian J. Ferguson, et al.. (2004). Does exposure to an artificial ULF magnetic field affect blood pressure, heart rate variability and mood?. Biomedicine & Pharmacotherapy. 58. S20–S27. 14 indexed citations

16.

Wanliss, J. A. & M. A. Reynolds. (2003). Measurement of the stochasticity of low-latitude geomagnetic temporal variations. Annales Geophysicae. 21(9). 2025–2030. 17 indexed citations

17.

Wanliss, J. A., et al.. (2000). On the use of photometer data to map dynamics of the magnetotail current sheet during substorm growth phase. Journal of Geophysical Research Atmospheres. 105(A12). 27673–27684. 21 indexed citations

18.

Mann, I. R., G. Chisham, & J. A. Wanliss. (1999). Frequency‐doubled density perturbations driven by ULF pulsations. Journal of Geophysical Research Atmospheres. 104(A3). 4559–4565. 5 indexed citations

19.

Петрукович, А. А., J. A. Wanliss, T. Mukai, S. Kokubun, & T. Yamamoto. (1999). Small‐amplitude bipolar flows in the near‐Earth tail. Geophysical Research Letters. 26(19). 2909–2912. 6 indexed citations

20.

Wanliss, J. A., et al.. (1995). Geomagnetic micropulsations: Implications for high resolution aeromagnetic surveys. Exploration Geophysics. 26(4). 535–538. 6 indexed citations

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