F. Frances Yao

23 total papers · 756 total citations
16 papers, 460 citations indexed

About

F. Frances Yao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, F. Frances Yao has authored 16 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Computational Mechanics. Recurrent topics in F. Frances Yao's work include Computational Geometry and Mesh Generation (4 papers), Algorithms and Data Compression (4 papers) and graph theory and CDMA systems (3 papers). F. Frances Yao is often cited by papers focused on Computational Geometry and Mesh Generation (4 papers), Algorithms and Data Compression (4 papers) and graph theory and CDMA systems (3 papers). F. Frances Yao collaborates with scholars based in United States and China. F. Frances Yao's co-authors include Andrew Chi-Chih Yao, Daniel Greene, Leo J. Guibas, Ronald Graham, A. Yao, Paul K. Stockmeyer and Guohui Tian and has published in prestigious journals such as Journal of the ACM, Neurocomputing and SIAM Journal on Computing.

In The Last Decade

F. Frances Yao

14 papers receiving 402 citations

Author Peers

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

Author Last Decade Papers Cites
F. Frances Yao 173 154 144 114 96 16 460
Robert Wilber 94 0.5× 169 1.1× 166 1.2× 124 1.1× 82 0.9× 11 440
Ingo Althöfer 101 0.6× 144 0.9× 277 1.9× 146 1.3× 57 0.6× 38 544
Jeffrey S. Salowe 266 1.5× 58 0.4× 144 1.0× 127 1.1× 92 1.0× 31 528
Paul B. Callahan 302 1.7× 88 0.6× 105 0.7× 61 0.5× 145 1.5× 12 473
Lyle Ramshaw 210 1.2× 86 0.6× 113 0.8× 52 0.5× 140 1.5× 12 547
Michel Pocchiola 301 1.7× 42 0.3× 118 0.8× 40 0.4× 180 1.9× 21 423
Gregory J. E. Rawlins 65 0.4× 154 1.0× 115 0.8× 233 2.0× 84 0.9× 22 474
M. Sharir 365 2.1× 36 0.2× 153 1.1× 45 0.4× 194 2.0× 13 476
Goos Kant 328 1.9× 29 0.2× 176 1.2× 55 0.5× 195 2.0× 21 455
Hubert de Fraysseix 383 2.2× 27 0.2× 259 1.8× 62 0.5× 180 1.9× 19 522

Countries citing papers authored by F. Frances Yao

Since Specialization
Citations

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

Fields of papers citing papers by F. Frances Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Frances Yao. 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 F. Frances Yao. The network helps show where F. Frances Yao may publish in the future.

Co-authorship network of co-authors of F. Frances Yao

This figure shows the co-authorship network connecting the top 25 collaborators of F. Frances Yao. A scholar is included among the top collaborators of F. Frances Yao 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 F. Frances Yao. F. Frances Yao 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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