C. J. Varker

43 total papers · 560 total citations
26 papers, 410 citations indexed

About

C. J. Varker is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, C. J. Varker has authored 26 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in C. J. Varker's work include Silicon and Solar Cell Technologies (14 papers), Thin-Film Transistor Technologies (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). C. J. Varker is often cited by papers focused on Silicon and Solar Cell Technologies (14 papers), Thin-Film Transistor Technologies (8 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). C. J. Varker collaborates with scholars based in United States, United Kingdom and Japan. C. J. Varker's co-authors include K. V. Ravi, D.K. Schroder, R. W. Carpenter, Ping Wang, S. R. Wilson, Hongchin Lin, S. J. Krause, W. M. Paulson, Hai-Lung Tsai and E. R. Weber and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Proceedings of the IEEE.

In The Last Decade

C. J. Varker

25 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
C. J. Varker 370 104 100 47 44 26 410
Steven C. Shatas 399 1.1× 145 1.4× 143 1.4× 43 0.9× 39 0.9× 26 444
U. Mackens 257 0.7× 209 2.0× 133 1.3× 38 0.8× 81 1.8× 28 413
K. Asama 334 0.9× 118 1.1× 85 0.8× 25 0.5× 59 1.3× 42 390
Paihung Pan 377 1.0× 79 0.8× 181 1.8× 84 1.8× 55 1.3× 18 453
W. W. Grannemann 298 0.8× 101 1.0× 234 2.3× 41 0.9× 65 1.5× 33 416
M. Suzuki 319 0.9× 190 1.8× 162 1.6× 60 1.3× 82 1.9× 29 479
Hidejiro Miki 329 0.9× 179 1.7× 253 2.5× 83 1.8× 40 0.9× 29 470
J. de Pontcharra 315 0.9× 94 0.9× 165 1.6× 36 0.8× 94 2.1× 28 405
Y.J. Park 261 0.7× 156 1.5× 165 1.6× 78 1.7× 82 1.9× 23 475
Yoshihiro Todokoro 451 1.2× 130 1.3× 209 2.1× 29 0.6× 76 1.7× 39 493

Countries citing papers authored by C. J. Varker

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Varker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. J. Varker

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