Mei-Li Shih

14 total papers · 424 total citations
10 papers, 299 citations indexed

About

Mei-Li Shih is a scholar working on Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Mei-Li Shih has authored 10 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Mei-Li Shih's work include Nonlinear Dynamics and Pattern Formation (3 papers), Quantum optics and atomic interactions (3 papers) and Advanced Fiber Laser Technologies (3 papers). Mei-Li Shih is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (3 papers), Quantum optics and atomic interactions (3 papers) and Advanced Fiber Laser Technologies (3 papers). Mei-Li Shih collaborates with scholars based in United States. Mei-Li Shih's co-authors include Peter W. Milonni, J. R. Ackerhalt, H. W. Galbraith and M. Cray and has published in prestigious journals such as Physics Reports, Physical Review A and American Journal of Physics.

In The Last Decade

Mei-Li Shih

10 papers receiving 277 citations

Author Peers

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

Author Last Decade Papers Cites
Mei-Li Shih 264 108 70 48 35 10 299
U. Geigenmüller 232 0.9× 77 0.7× 25 0.4× 75 1.6× 39 1.1× 19 348
K. Husimi 279 1.1× 141 1.3× 10 0.1× 19 0.4× 101 2.9× 6 337
Fachbereich Physik 236 0.9× 79 0.7× 13 0.2× 94 2.0× 52 1.5× 11 344
Andrej Junginger 144 0.5× 180 1.7× 54 0.8× 8 0.2× 16 0.5× 21 268
M. Turconi 158 0.6× 36 0.3× 68 1.0× 77 1.6× 67 1.9× 15 231
R. S. Gioggia 158 0.6× 125 1.2× 147 2.1× 109 2.3× 24 0.7× 10 324
Daphna G. Enzer 276 1.0× 56 0.5× 31 0.4× 17 0.4× 76 2.2× 22 348
J. D. Farina 185 0.7× 32 0.3× 27 0.4× 113 2.4× 24 0.7× 20 267
M. Rosenau da Costa 213 0.8× 26 0.2× 6 0.1× 171 3.6× 25 0.7× 11 344
Emilio Cortés 255 1.0× 271 2.5× 57 0.8× 24 0.5× 26 0.7× 19 351

Countries citing papers authored by Mei-Li Shih

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Li Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Li Shih. 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 Mei-Li Shih. The network helps show where Mei-Li Shih may publish in the future.

Co-authorship network of co-authors of Mei-Li Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Li Shih. A scholar is included among the top collaborators of Mei-Li Shih 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 Mei-Li Shih. Mei-Li Shih 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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