F. Frances Yao
- Computer Graphics and Computer-Aided Design top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Andrew Chi-Chih YaoDaniel GreeneLeo J. GuibasRonald GrahamA. YaoPaul K. StockmeyerHongwei RenGuohui Tian
- Topics
- Computational Geometry and Mesh Generation (4 papers)Algorithms and Data Compression (4 papers)semigroups and automata theory (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignDiscrete Mathematics and CombinatoricsComputational Theory and Mathematics
- Partner nations
- United StatesChina
In The Last Decade
F. Frances Yao
14 papers receiving 402 citations
Peers
Comparison fields: 5 of 52
- Computer Graphics and Computer-Aided Design 173
- Artificial Intelligence 155
- Computational Theory and Mathematics 144
- Computer Networks and Communications 114
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by F. Frances Yao
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 97 | |
| 4 | A General Approach to d-Dimensional Geometric Queries (Extended Abstract) | 5 |
| 5 | 41 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 12 | |
| 9 | 18 | |
| 10 | 68 | |
| 11 | 68 | |
| 12 | 28 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 37 |
About F. Frances Yao
F. Frances Yao is a scholar working on Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 16 papers that have together received 460 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (4 papers), Algorithms and Data Compression (4 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (173 citations), Discrete Mathematics and Combinatorics (34 citations) and Computational Theory and Mathematics (144 citations). F. Frances Yao has collaborated with scholars based in United States and China. Frequent co-authors include Andrew Chi-Chih Yao, Daniel Greene, Leo J. Guibas, Ronald Graham, A. Yao, Paul K. Stockmeyer, Hongwei Ren and Guohui Tian. Their work appears in journals such as Journal of the ACM, Neurocomputing and SIAM Journal on Computing.
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.