Maya Stein
Impact in
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- Limits and Structures in Graph Theory
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- Advanced Graph Theory Research
- Complexity and Algorithms in Graphs
- Topological and Geometric Data Analysis
- Graph Labeling and Dimension Problems
Papers in
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- Limits and Structures in Graph Theory 43
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- Advanced Graph Theory Research 32
- Complexity and Algorithms in Graphs 5
- semigroups and automata theory 1
- Graph Labeling and Dimension Problems 1
- Co-authors
- Henning Bruhn (10 shared papers)Reinhard Diestel (3 shared papers)Oliver Schaudt (9 shared papers)Flavia Bonomo (3 shared papers)Maria Chudnovsky (4 shared papers)David Conlon (1 shared paper)Endre Szemerédi (2 shared papers)Miklós Simonovits (2 shared papers)
In The Last Decade
Maya Stein
56 papers receiving 371 citations
Peers
Comparison fields: 5 of 14
- Discrete Mathematics and Combinatorics 188
- Computational Theory and Mathematics 257
- Geometry and Topology 61
- Mathematical Physics 17
- Theoretical Computer Science 2
Countries citing papers authored by Maya Stein
This map shows the geographic impact of Maya Stein'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 Maya Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Stein more than expected).
Fields of papers citing papers by Maya Stein
This network shows the impact of papers produced by Maya Stein. 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 Maya Stein. The network helps show where Maya Stein may publish in the future.
Co-authors
The 23 scholars most cited alongside Maya Stein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2014 | 31 | |
| 3 | 2007 | 28 | |
| 4 | 2005 | 27 | |
| 5 | 2005 | 22 | |
| 6 | 2005 | 17 | |
| 7 | 2011 | 14 | |
| 8 | 2017 | 14 | |
| 9 | 2011 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2005 | 10 | |
| 12 | 2006 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2008 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2016 | 6 |
About Maya Stein
Maya Stein is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 67 papers that have together received 409 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (43 papers), Advanced Graph Theory Research (32 papers), Complexity and Algorithms in Graphs (5 papers), Advanced Topology and Set Theory (2 papers), semigroups and automata theory (1 paper), Geometric and Algebraic Topology (1 paper), Graph Labeling and Dimension Problems (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (188 citations), Computational Theory and Mathematics (257 citations), Geometry and Topology (61 citations), Mathematical Physics (17 citations) and Theoretical Computer Science (2 citations). Maya Stein has collaborated with scholars based in Chile, Germany and France. Frequent co-authors include Henning Bruhn, Reinhard Diestel, Oliver Schaudt, Flavia Bonomo, Maria Chudnovsky, David Conlon, Endre Szemerédi, Miklós Simonovits, Jan Hladký and Hiệp Hàn. Their work appears in journals such as Journal of Graph Theory, SIAM Journal on Discrete Mathematics, European Journal of Combinatorics, Discrete Mathematics and Journal of Combinatorial Theory Series B.
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.