J. A. Wanliss

85 total papers · 1.1k total citations
42 papers, 812 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 812 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, V. M. Uritsky, J. C. Samson, J. M. Weygand, M. A. Reynolds, V. T. Tikhonchuk, Yang Wang and Dong Mao 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

37 papers receiving 782 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. A. Wanliss	499	426	290	224	88	42	812
M.J.A. Bolzan	516 1.0×	245 0.6×	301 1.0×	134 0.6×	75 0.9×	62	789
L. F. Bargatze	765 1.5×	489 1.1×	264 0.9×	71 0.3×	39 0.4×	22	893
Fabio Lepreti	770 1.5×	320 0.8×	115 0.4×	103 0.5×	97 1.1×	65	985
Wiesław M. Macek	800 1.6×	357 0.8×	66 0.2×	363 1.6×	283 3.2×	82	1.1k
Emiliya Yordanova	661 1.3×	336 0.8×	179 0.6×	52 0.2×	41 0.5×	46	733
Pablo S. Moya	673 1.3×	178 0.4×	155 0.5×	51 0.2×	82 0.9×	67	792
Marius Echim	648 1.3×	255 0.6×	150 0.5×	46 0.2×	19 0.2×	54	726
M. V. Stepanova	894 1.8×	559 1.3×	321 1.1×	32 0.1×	24 0.3×	87	1000
Erico L. Rempel	395 0.8×	213 0.5×	28 0.1×	217 1.0×	430 4.9×	79	1.0k
Georgios Nicolaou	682 1.4×	114 0.3×	159 0.5×	39 0.2×	123 1.4×	74	798

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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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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