R. F. Lax
- Geometry and Topology top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Algebra and Number Theory top 10%
- Applied Mathematics top 10%
- Co-authors
- Arnaldo GarciaSeon Jeong KimGuoli DingPeter P. ChenJianhua ChenBrian D. MarxPeter ChenJiawei Chen
- Topics
- Algebraic Geometry and Number Theory (15 papers)Commutative Algebra and Its Applications (9 papers)Polynomial and algebraic computation (7 papers)
- Journals
- Information SciencesTransactions of the American Mathematical SocietyPacific Journal of Mathematics
- Partner nations
- United StatesBrazilSouth Korea
In The Last Decade
R. F. Lax
30 papers receiving 217 citations
Peers
Comparison fields: 5 of 38
- Geometry and Topology 154
- Artificial Intelligence 111
- Computational Theory and Mathematics 108
- Algebra and Number Theory 89
- Applied Mathematics 53
Countries citing papers authored by R. F. Lax
This map shows the geographic impact of R. F. Lax'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. F. Lax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. F. Lax more than expected).
Fields of papers citing papers by R. F. Lax
This network shows the impact of papers produced by R. F. Lax. 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. F. Lax. The network helps show where R. F. Lax may publish in the future.
Co-authorship network of co-authors of R. F. Lax
This figure shows the co-authorship network connecting the top 25 collaborators of R. F. Lax. A scholar is included among the top collaborators of R. F. Lax 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. F. Lax. R. F. Lax is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k. | 4 |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 39 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 47 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 3 |
About R. F. Lax
R. F. Lax is a scholar working on Algebra and Number Theory, Geometry and Topology and Computational Mathematics, having authored 31 papers that have together received 323 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (15 papers), Commutative Algebra and Its Applications (9 papers) and Polynomial and algebraic computation (7 papers). The work is most often cited by research in Algebra and Number Theory (89 citations), Geometry and Topology (154 citations) and Discrete Mathematics and Combinatorics (34 citations). R. F. Lax has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Arnaldo Garcia, Seon Jeong Kim, Guoli Ding, Peter P. Chen, Jianhua Chen, Brian D. Marx, Jianhua Chen, Jianhua Chen, Jianhua Chen and Peter Chen. Their work appears in journals such as Information Sciences, Transactions of the American Mathematical Society and Pacific Journal of Mathematics.
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.