W.A.M. Aarnink

48 total papers · 762 total citations
22 papers, 591 citations indexed

About

W.A.M. Aarnink is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, W.A.M. Aarnink has authored 22 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 12 papers in Condensed Matter Physics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in W.A.M. Aarnink's work include Physics of Superconductivity and Magnetism (12 papers), Superconducting Materials and Applications (4 papers) and Magnetic properties of thin films (4 papers). W.A.M. Aarnink is often cited by papers focused on Physics of Superconductivity and Magnetism (12 papers), Superconducting Materials and Applications (4 papers) and Magnetic properties of thin films (4 papers). W.A.M. Aarnink collaborates with scholars based in Netherlands, United States and Germany. W.A.M. Aarnink's co-authors include A. van Silfhout, Horst Rogalla, Ju Gao, G.J. Gerritsma, M. Fried, L.J. Hanekamp, T. Lohner, Jakob Flokstra, Dick Veldhuis and R.P.J. IJsselsteijn and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

W.A.M. Aarnink

22 papers receiving 569 citations

Author Peers

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

Author Last Decade Papers Cites
W.A.M. Aarnink 269 253 217 195 112 22 591
L. A. Giannuzzi 245 0.9× 168 0.7× 384 1.8× 88 0.5× 276 2.5× 27 653
D. MacNair 117 0.4× 210 0.8× 336 1.5× 159 0.8× 56 0.5× 25 570
I. Yu. Evstratov 256 1.0× 217 0.9× 279 1.3× 156 0.8× 99 0.9× 24 506
Katsuhisa Usami 126 0.5× 282 1.1× 256 1.2× 92 0.5× 107 1.0× 36 598
H. Feil 95 0.4× 344 1.4× 234 1.1× 271 1.4× 175 1.6× 18 696
Hisashi Minakuchi 362 1.3× 177 0.7× 278 1.3× 118 0.6× 149 1.3× 24 563
Y. Tomokiyo 133 0.5× 163 0.6× 376 1.7× 162 0.8× 118 1.1× 45 676
J. Petalas 223 0.8× 246 1.0× 304 1.4× 157 0.8× 120 1.1× 15 523
Rantej Bali 191 0.7× 138 0.5× 231 1.1× 331 1.7× 197 1.8× 48 604
M. T. Duffy 227 0.8× 375 1.5× 217 1.0× 204 1.0× 77 0.7× 37 683

Countries citing papers authored by W.A.M. Aarnink

Since Specialization
Citations

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

Fields of papers citing papers by W.A.M. Aarnink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.A.M. Aarnink. 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 W.A.M. Aarnink. The network helps show where W.A.M. Aarnink may publish in the future.

Co-authorship network of co-authors of W.A.M. Aarnink

This figure shows the co-authorship network connecting the top 25 collaborators of W.A.M. Aarnink. A scholar is included among the top collaborators of W.A.M. Aarnink 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 W.A.M. Aarnink. W.A.M. Aarnink 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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