J.T. Mullins

58 total papers · 641 total citations
39 papers, 499 citations indexed

About

J.T. Mullins is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, J.T. Mullins has authored 39 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 22 papers in Atomic and Molecular Physics, and Optics and 20 papers in Materials Chemistry. Recurrent topics in J.T. Mullins's work include Chalcogenide Semiconductor Thin Films (27 papers), Advanced Semiconductor Detectors and Materials (25 papers) and Semiconductor Quantum Structures and Devices (21 papers). J.T. Mullins is often cited by papers focused on Chalcogenide Semiconductor Thin Films (27 papers), Advanced Semiconductor Detectors and Materials (25 papers) and Semiconductor Quantum Structures and Devices (21 papers). J.T. Mullins collaborates with scholars based in United Kingdom, Japan and United States. J.T. Mullins's co-authors include A.W. Brinkman, Tsunemasa Taguchi, D. P. Halliday, M. D. G. Potter, Yoichi Yamada, Yasuaki Masumoto, Arnab Basu, Paul D. Brown, Quanbo Jiang and B.C. Cavenett and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Physics D Applied Physics.

In The Last Decade

J.T. Mullins

39 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
J.T. Mullins 399 281 253 79 56 39 499
E. Koppensteiner 276 0.7× 191 0.7× 294 1.2× 80 1.0× 71 1.3× 27 458
T. Takebe 458 1.1× 212 0.8× 371 1.5× 79 1.0× 115 2.1× 40 588
J. K. Furdyna 343 0.9× 278 1.0× 346 1.4× 45 0.6× 43 0.8× 42 504
J. Šik 284 0.7× 186 0.7× 203 0.8× 152 1.9× 108 1.9× 33 483
A. Tanaka 388 1.0× 266 0.9× 151 0.6× 98 1.2× 79 1.4× 31 522
I. Ladany 491 1.2× 186 0.7× 341 1.3× 61 0.8× 45 0.8× 50 606
P. Möck 453 1.1× 223 0.8× 263 1.0× 43 0.5× 79 1.4× 31 562
Yu‐Miin Sheu 265 0.7× 281 1.0× 146 0.6× 56 0.7× 59 1.1× 40 574
N. D. Wilsey 385 1.0× 166 0.6× 400 1.6× 48 0.6× 19 0.3× 32 561
A. Chenevas-Paule 356 0.9× 190 0.7× 238 0.9× 95 1.2× 31 0.6× 30 452

Countries citing papers authored by J.T. Mullins

Since Specialization
Citations

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

Fields of papers citing papers by J.T. Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.T. Mullins

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