Maya Stein

718 citations
63 papers · 334 · h-index 10

Impact in

Papers in

Maya Stein

53 papers receiving 303 citations

Peers

Maya Stein
Comparison fields: 5 of 23
  • Discrete Mathematics and Combinatorics 190
  • Computational Theory and Mathematics 301
  • Geometry and Topology 152
  • Mathematical Physics 22
  • Computer Graphics and Computer-Aided Design 7
Replace Henning Bruhn with:
Henning Bruhn Germany
Balázs Patkós Hungary
Dániel Gerbner Hungary
André Kündgen United States
Nathan Lemons United States
Norbert Sauer Canada
Juan José Montellano‐Ballesteros Mexico
Louis Esperet France
Stephen C. Locke United States
Julia Böttcher United Kingdom
Maya Stein relative to Henning Bruhn Germany Henning Bruhn's profile →
Citations per field
00.5×3.2×
Henning Bruhn · 1×
Citations per year

Countries citing papers authored by Maya Stein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Maya Stein Line = papers co-authored together Maya Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 200526
3 200725
4 201424
5 200520
6 200517
7 200910
8 201110
9 201710
10 20069
11 20199
12 20119
13 20088
14 20057
15 20207
16 20216
17 20156
18 20176
19 20155
20 20185

About Maya Stein

Maya Stein is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 63 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (49 papers), Limits and Structures in Graph Theory (47 papers), Graph Labeling and Dimension Problems (18 papers), Advanced Topology and Set Theory (16 papers), Graph theory and applications (13 papers), graph theory and CDMA systems (9 papers), Complexity and Algorithms in Graphs (5 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (190 citations), Computational Theory and Mathematics (301 citations), Geometry and Topology (152 citations), Mathematical Physics (22 citations) and Computer Graphics and Computer-Aided Design (7 citations). Maya Stein has collaborated with scholars based in Chile, Germany and United States. Frequent co-authors include Henning Bruhn, Reinhard Diestel, Oliver Schaudt, Flavia Bonomo, Maria Chudnovsky, Miklós Simonovits, Endre Szemerédi, Jan Hladký, David Conlon and Hiệp Hàn. Their work appears in journals such as Journal of Graph Theory, SIAM Journal on Discrete Mathematics, Discrete Mathematics, Journal of Combinatorial Theory Series B and European Journal of Combinatorics.

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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