A. G. Tweet

22 total papers · 771 total citations
22 papers, 586 citations indexed

About

A. G. Tweet is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, A. G. Tweet has authored 22 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 8 papers in Materials Chemistry and 6 papers in Physical and Theoretical Chemistry. Recurrent topics in A. G. Tweet's work include Spectroscopy and Quantum Chemical Studies (7 papers), Photochemistry and Electron Transfer Studies (6 papers) and Semiconductor materials and interfaces (6 papers). A. G. Tweet is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (7 papers), Photochemistry and Electron Transfer Studies (6 papers) and Semiconductor materials and interfaces (6 papers). A. G. Tweet collaborates with scholars based in United States. A. G. Tweet's co-authors include W. D. Bellamy, George L. Gaines, C. J. Gallagher, W. W. Tyler and W. C. Dash and has published in prestigious journals such as Nature, The Journal of Chemical Physics and Journal of Applied Physics.

In The Last Decade

A. G. Tweet

21 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
A. G. Tweet	325	230	226	169	79	22	586
Myeong H. Lee	261 0.8×	301 1.3×	272 1.2×	114 0.7×	160 2.0×	23	690
M. D. Galanin	382 1.2×	218 0.9×	239 1.1×	100 0.6×	187 2.4×	20	697
Jacek Dziedzic	328 1.0×	197 0.9×	204 0.9×	130 0.8×	94 1.2×	37	662
Bernd Kohlstrunk	181 0.6×	112 0.5×	327 1.4×	172 1.0×	26 0.3×	15	636
S. Iizima	180 0.6×	372 1.6×	426 1.9×	100 0.6×	42 0.5×	26	680
M. Preuß	344 1.1×	257 1.1×	225 1.0×	65 0.4×	64 0.8×	17	609
A. J. Pertsin	195 0.6×	180 0.8×	208 0.9×	62 0.4×	78 1.0×	28	669
V. L. Shannon	500 1.5×	195 0.8×	96 0.4×	70 0.4×	157 2.0×	18	633
Julian Kappler	244 0.8×	150 0.7×	155 0.7×	221 1.3×	39 0.5×	27	622
Oliver Fuchs	192 0.6×	147 0.6×	175 0.8×	59 0.3×	36 0.5×	11	536

Countries citing papers authored by A. G. Tweet

Since Specialization

Citations

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

Fields of papers citing papers by A. G. Tweet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. G. Tweet

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