Julia Böttcher

644 citations
38 papers · 232 · h-index 9

Impact in

Papers in

Julia Böttcher

36 papers receiving 222 citations

Peers

Julia Böttcher
Comparison fields: 5 of 29
  • Discrete Mathematics and Combinatorics 190
  • Geometry and Topology 97
  • Computational Theory and Mathematics 183
  • Computer Graphics and Computer-Aided Design 8
  • Statistics and Probability 11
Replace Roman Glebov with:
Roman Glebov Germany
Felix Joos Germany
Yury Person Germany
Nathan Lemons United States
Agelos Georgakopoulos United Kingdom
Luke Postle Canada
Edita Máčajová Slovakia
Juan José Montellano‐Ballesteros Mexico
Jonathan Cutler United States
Keith Edwards United Kingdom
Julia Böttcher relative to Roman Glebov Germany Roman Glebov's profile →
Citations per field
00.5×1.5×2.3×
Roman Glebov · 1×
Citations per year

Countries citing papers authored by Julia Böttcher

Since Specialization
Citations

This map shows the geographic impact of Julia Böttcher'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 Julia Böttcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Böttcher more than expected).

Fields of papers citing papers by Julia Böttcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Böttcher. 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 Julia Böttcher. The network helps show where Julia Böttcher may publish in the future.

Co-authors

The 16 scholars most cited alongside Julia Böttcher, 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 Julia Böttcher Line = papers co-authored together Julia Böttcher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200839
2 200929
3 201117
4 200814
5 201612
6 201611
7 20149
8 20139
9 20099
10 20058
11 20157
12 20197
13 20087
14 20146
15 20225
16 20175
17 20134
18 20194
19 20214
20 20093

About Julia Böttcher

Julia Böttcher is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering and Statistics and Probability, having authored 38 papers that have together received 232 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (34 papers), Advanced Graph Theory Research (27 papers), Graph theory and applications (17 papers), Complexity and Algorithms in Graphs (7 papers), graph theory and CDMA systems (5 papers), Advanced Topology and Set Theory (4 papers), Markov Chains and Monte Carlo Methods (3 papers) and Graph Labeling and Dimension Problems (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (190 citations), Geometry and Topology (97 citations), Computational Theory and Mathematics (183 citations), Computer Graphics and Computer-Aided Design (8 citations) and Statistics and Probability (11 citations). Julia Böttcher has collaborated with scholars based in United Kingdom, Germany and Brazil. Frequent co-authors include Anusch Taraz, Mathias Schacht, Yoshiharu Kohayakawa, Peter Allen, Klaas P. Pruessmann, Yury Person, Jan Hladký, Aldo Procacci, Hiệp Hàn and Jozef Skokan. Their work appears in journals such as Random Structures and Algorithms, Journal of Combinatorial Theory Series B, Israel Journal of Mathematics, Combinatorics Probability Computing and The Electronic 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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