T. Maeda Wong

15 total papers · 484 total citations
12 papers, 272 citations indexed

About

T. Maeda Wong is a scholar working on Surfaces, Coatings and Films, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, T. Maeda Wong has authored 12 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surfaces, Coatings and Films, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Mechanics. Recurrent topics in T. Maeda Wong's work include Electron and X-Ray Spectroscopy Techniques (6 papers), Surface and Thin Film Phenomena (4 papers) and Ion-surface interactions and analysis (4 papers). T. Maeda Wong is often cited by papers focused on Electron and X-Ray Spectroscopy Techniques (6 papers), Surface and Thin Film Phenomena (4 papers) and Ion-surface interactions and analysis (4 papers). T. Maeda Wong collaborates with scholars based in United States, United Kingdom and Hong Kong. T. Maeda Wong's co-authors include N. J. DiNardo, E. W. Plummer, D. Heskett, E. W. Plummer, W. R. M. Graham, A. J. Smith, R. Ludeke, M. Prietsch, A. B. McLean and Joseph A. D’Alessio and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

T. Maeda Wong

11 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
T. Maeda Wong	201	76	70	59	32	12	272
M. Mast	129 0.6×	67 0.9×	110 1.6×	61 1.0×	52 1.6×	11	330
L. G. Gray	252 1.3×	71 0.9×	25 0.4×	27 0.5×	11 0.3×	13	328
Alice L. Lin	195 1.0×	49 0.6×	229 3.3×	69 1.2×	32 1.0×	15	324
Jeffrey B. Smith	89 0.4×	17 0.2×	35 0.5×	42 0.7×	10 0.3×	11	320
Stanislaw Szpala	81 0.4×	18 0.2×	110 1.6×	99 1.7×	14 0.4×	16	328
W. Verhoeven	135 0.7×	63 0.8×	85 1.2×	17 0.3×	8 0.3×	15	256
R. Spehr	128 0.6×	180 2.4×	113 1.6×	65 1.1×	18 0.6×	12	322
Julius J. Muray	59 0.3×	43 0.6×	129 1.8×	51 0.9×	9 0.3×	19	244
John H. Gaida	103 0.5×	26 0.3×	46 0.7×	15 0.3×	15 0.5×	12	182
A.J. Rollason	108 0.5×	67 0.9×	19 0.3×	109 1.8×	117 3.7×	22	328

Countries citing papers authored by T. Maeda Wong

Since Specialization

Citations

This map shows the geographic impact of T. Maeda Wong'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 T. Maeda Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Maeda Wong more than expected).

Fields of papers citing papers by T. Maeda Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Maeda Wong. 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 T. Maeda Wong. The network helps show where T. Maeda Wong may publish in the future.

Co-authorship network of co-authors of T. Maeda Wong

This figure shows the co-authorship network connecting the top 25 collaborators of T. Maeda Wong. A scholar is included among the top collaborators of T. Maeda Wong 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 T. Maeda Wong. T. Maeda Wong 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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