Julia Plavnik

20 papers receiving 183 citations

Peers

Julia Plavnik
Comparison fields: 5 of 21
  • Algebra and Number Theory 86
  • Geometry and Topology 152
  • Mathematical Physics 110
  • Computational Mathematics 2
  • Statistical and Nonlinear Physics 32
Replace César Galíndo with:
César Galíndo Colombia
David Penneys United States
Theo Johnson-Freyd Canada
Chenchang Zhu Germany
João Faría Martins Portugal
Daisuke Tambara Japan
Sebastiano Carpi Italy
Yi-Zhi Huang United States
Alexis Virelizier France
Dmitry Valer'evich Talalaev Russia
Julia Plavnik relative to César Galíndo Colombia César Galíndo's profile →
Citations per field
00.5×1.5×2×
César Galíndo · 1×
Citations per year

Countries citing papers authored by Julia Plavnik

Since Specialization
Citations

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

Fields of papers citing papers by Julia Plavnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Julia Plavnik, 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 Plavnik Line = papers co-authored together Julia Plavnik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201761
2 201644
3 201916
4 202112
5 201311
6 201511
7 201210
8 20179
9 20234
10 20213
11 20152
12 20222
13 20222
14 20212
15 20202
16 20241
17 20241
18 20181
19 20231
20 20131

About Julia Plavnik

Julia Plavnik is a scholar working on Geometry and Topology, Algebra and Number Theory, Mathematical Physics, Statistical and Nonlinear Physics and Computational Mathematics, having authored 23 papers that have together received 198 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (22 papers), Homotopy and Cohomology in Algebraic Topology (16 papers), Advanced Topics in Algebra (13 papers), Nonlinear Waves and Solitons (4 papers), Tensor decomposition and applications (2 papers), Algebraic Geometry and Number Theory (2 papers), Advanced Condensed Matter Physics (2 papers) and Advanced Algebra and Geometry (2 papers). The work is most often cited by research in Algebra and Number Theory (86 citations), Geometry and Topology (152 citations), Mathematical Physics (110 citations), Computational Mathematics (2 citations) and Statistical and Nonlinear Physics (32 citations). Julia Plavnik has collaborated with scholars based in United States, Colombia and Germany. Frequent co-authors include César Galíndo, Zhenghan Wang, Eric C. Rowell, Paul Bruillard, Siu‐Hung Ng, Shawn Xingshan Cui, Sonia Natale, Sarah J. Witherspoon, Corey Jones and David Penneys. Their work appears in journals such as Algebras and Representation Theory, Journal of Pure and Applied Algebra, Algebra & Number Theory, Applied Categorical Structures and Transformation Groups.

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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