Maya Stein

704 citations
58 papers · 290 indexed · h-index 9

Impact in

Papers in

Maya Stein

50 papers receiving 267 citations

Peers

Maya Stein
Comparison fields: 5 of 23
  • Discrete Mathematics and Combinatorics 159
  • Computational Theory and Mathematics 259
  • Geometry and Topology 139
  • Mathematical Physics 21
  • Computer Graphics and Computer-Aided Design 6
Replace Henning Bruhn with:
Henning Bruhn Germany
Balázs Patkós Hungary
Dániel Gerbner Hungary
Norbert Sauer Canada
André Kündgen United States
Juan José Montellano‐Ballesteros Mexico
Norbert Polat France
D. A. Shabanov Russia
D. S. Malyshev Russia
Ko‐Wei Lih Taiwan
Maya Stein relative to Henning Bruhn Germany Henning Bruhn's profile →
Citations per field
00.5×2.6×
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201733
2 200526
3 200725
4 201422
5 200520
6 200517
7 200910
8 20069
9 20119
10 20178
11 20117
12 20197
13 20056
14 20165
15 20215
16 20155
17 20155
18 20134
19 20184
20 20194

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 58 papers that have together received 290 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (44 papers), Limits and Structures in Graph Theory (43 papers), Graph Labeling and Dimension Problems (15 papers), Advanced Topology and Set Theory (15 papers), Graph theory and applications (12 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 (159 citations), Computational Theory and Mathematics (259 citations), Geometry and Topology (139 citations), Mathematical Physics (21 citations) and Computer Graphics and Computer-Aided Design (6 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, David Conlon, Endre Szemerédi, János Komlós, Hiệp Hàn and Jan Hladký. 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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