Chaim Goodman-Strauss
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Mathematical Physics
- Statistics, Probability and Uncertainty top 10%
- Geometry and Topology top 10%
- Topics
- Quasicrystal Structures and Properties (6 papers)Cellular Automata and Applications (6 papers)DNA and Biological Computing (3 papers)
- Cited by
- Theoretical Computer ScienceComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Journals
- Annals of MathematicsTransactions of the American Mathematical SocietyInventiones mathematicae
- Partner nations
- United StatesCanada
In The Last Decade
Chaim Goodman-Strauss
14 papers receiving 200 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 109
- Materials Chemistry 104
- Mathematical Physics 34
- Statistics, Probability and Uncertainty 32
- Geometry and Topology 28
Countries citing papers authored by Chaim Goodman-Strauss
This map shows the geographic impact of Chaim Goodman-Strauss'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 Chaim Goodman-Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaim Goodman-Strauss more than expected).
Fields of papers citing papers by Chaim Goodman-Strauss
This network shows the impact of papers produced by Chaim Goodman-Strauss. 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 Chaim Goodman-Strauss. The network helps show where Chaim Goodman-Strauss may publish in the future.
Co-authorship network of co-authors of Chaim Goodman-Strauss
This figure shows the co-authorship network connecting the top 25 collaborators of Chaim Goodman-Strauss. A scholar is included among the top collaborators of Chaim Goodman-Strauss 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 Chaim Goodman-Strauss. Chaim Goodman-Strauss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 21 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 58 | |
| 15 | 52 | |
| 16 | 10 |
About Chaim Goodman-Strauss
Chaim Goodman-Strauss is a scholar working on Theoretical Computer Science, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 16 papers that have together received 220 indexed citations. Recurring topics across this work include Quasicrystal Structures and Properties (6 papers), Cellular Automata and Applications (6 papers) and DNA and Biological Computing (3 papers). The work is most often cited by research in Theoretical Computer Science (9 citations), Computational Theory and Mathematics (109 citations) and Statistics, Probability and Uncertainty (32 citations). Chaim Goodman-Strauss has collaborated with scholars based in United States and Canada. Frequent co-authors include Daniel Berleant, Craig S. Kaplan, David J. Smith, John H. Conway and N. J. A. Sloane. Their work appears in journals such as Annals of Mathematics, Transactions of the American Mathematical Society and Inventiones mathematicae.
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.