Thomas G. Miller

98 total papers · 1.1k total citations
59 papers, 889 citations indexed

About

Thomas G. Miller is a scholar working on Radiation, Atomic and Molecular Physics, and Optics and Epidemiology. According to data from OpenAlex, Thomas G. Miller has authored 59 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiation, 15 papers in Atomic and Molecular Physics, and Optics and 8 papers in Epidemiology. Recurrent topics in Thomas G. Miller's work include Nuclear Physics and Applications (27 papers), Radiation Detection and Scintillator Technologies (15 papers) and Atomic and Subatomic Physics Research (12 papers). Thomas G. Miller is often cited by papers focused on Nuclear Physics and Applications (27 papers), Radiation Detection and Scintillator Technologies (15 papers) and Atomic and Subatomic Physics Research (12 papers). Thomas G. Miller collaborates with scholars based in United States, Russia and Australia. Thomas G. Miller's co-authors include Harriet C. Isom, D.L. Smith, William E. Delaney, Craig D. Woodworth, John W. Kreider, Edward E. Cable, Ayman M. Abdelhamed, Colleen M. Kelley, Stephen Locarnini and Phillip A. Furman and has published in prestigious journals such as Journal of Applied Physics, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Thomas G. Miller

56 papers receiving 835 citations

Author Peers

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

Author						Papers	Cites
Thomas G. Miller	375	218	193	166	150	59	889
Tohru Kawamura	96 0.3×	136 0.6×	134 0.7×	59 0.4×	293 2.0×	89	942
Andrew G. Cole	150 0.4×	67 0.3×	83 0.4×	211 1.3×	101 0.7×	79	960
N. Arena	69 0.2×	195 0.9×	132 0.7×	214 1.3×	196 1.3×	56	728
Mark S. Robbins	94 0.3×	130 0.6×	23 0.1×	76 0.5×	78 0.5×	45	873
Robert L. Becker	116 0.3×	99 0.5×	145 0.8×	146 0.9×	106 0.7×	33	746
Zhihua Qi	361 1.0×	64 0.3×	86 0.4×	51 0.3×	72 0.5×	41	797
Julia Schmidt	66 0.2×	118 0.5×	125 0.6×	152 0.9×	18 0.1×	73	773
Wei Ye	25 0.1×	52 0.2×	126 0.7×	110 0.7×	124 0.8×	61	734
M. Cinausero	144 0.4×	22 0.1×	37 0.2×	114 0.7×	105 0.7×	66	893
George Marx	32 0.1×	68 0.3×	174 0.9×	64 0.4×	209 1.4×	97	936

Countries citing papers authored by Thomas G. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Thomas G. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Miller. 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 Thomas G. Miller. The network helps show where Thomas G. Miller may publish in the future.

Co-authorship network of co-authors of Thomas G. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Miller. A scholar is included among the top collaborators of Thomas G. Miller 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 Thomas G. Miller. Thomas G. Miller 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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