R. Q. Twiss

43 total papers · 6.9k total citations
34 papers, 4.3k citations indexed

About

R. Q. Twiss is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, R. Q. Twiss has authored 34 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 14 papers in Astronomy and Astrophysics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in R. Q. Twiss's work include Solar and Space Plasma Dynamics (7 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomical Observations and Instrumentation (5 papers). R. Q. Twiss is often cited by papers focused on Solar and Space Plasma Dynamics (7 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomical Observations and Instrumentation (5 papers). R. Q. Twiss collaborates with scholars based in United Kingdom, United States and Australia. R. Q. Twiss's co-authors include Robert Brown, A. G. Little, H.A. Gebbie, Jason A. Roberts, W. J. Tango, R. Clark Jones, Peter Fellgett and W.T. Welford and has published in prestigious journals such as Nature, Journal of Applied Physics and The Astrophysical Journal.

In The Last Decade

R. Q. Twiss

31 papers receiving 4.0k citations

Hit Papers

Correlation between Photo... 1956 2026 1979 2002 1956 1956 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
R. Q. Twiss 2.7k 1.2k 958 701 521 34 4.3k
David F. Phillips 3.5k 1.3× 952 0.8× 750 0.8× 491 0.7× 268 0.5× 81 4.1k
Daniele Faccio 5.7k 2.1× 636 0.5× 2.2k 2.3× 738 1.1× 699 1.3× 298 7.6k
Marco Genovese 2.9k 1.1× 2.5k 2.1× 451 0.5× 352 0.5× 764 1.5× 207 4.4k
Willis E. Lamb 5.1k 1.9× 988 0.8× 1.9k 2.0× 232 0.3× 84 0.2× 99 6.2k
R. E. Slusher 4.3k 1.6× 831 0.7× 3.7k 3.9× 797 1.1× 60 0.1× 92 6.3k
R. Y. Chiao 8.4k 3.1× 2.1k 1.8× 2.1k 2.2× 334 0.5× 401 0.8× 156 9.6k
Gabriel Molina‐Terriza 4.0k 1.5× 1.1k 0.9× 608 0.6× 128 0.2× 183 0.4× 92 4.4k
Peter W. Milonni 5.8k 2.1× 1.3k 1.1× 1.0k 1.0× 213 0.3× 150 0.3× 176 6.6k
A.N. Moskalev 3.0k 1.1× 395 0.3× 265 0.3× 1.1k 1.5× 51 0.1× 20 5.2k
Mark R. Dennis 5.5k 2.0× 475 0.4× 945 1.0× 171 0.2× 243 0.5× 116 6.5k

Countries citing papers authored by R. Q. Twiss

Since Specialization
Citations

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

Fields of papers citing papers by R. Q. Twiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Q. Twiss. 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 R. Q. Twiss. The network helps show where R. Q. Twiss may publish in the future.

Co-authorship network of co-authors of R. Q. Twiss

This figure shows the co-authorship network connecting the top 25 collaborators of R. Q. Twiss. A scholar is included among the top collaborators of R. Q. Twiss 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 R. Q. Twiss. R. Q. Twiss 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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