Vanessa Styles

36 papers receiving 792 citations

Peers

Vanessa Styles
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 398
  • Computational Mechanics 328
  • Modeling and Simulation 62
  • Numerical Analysis 57
  • Materials Chemistry 349
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Maria Giovanna Mora Italy
Ulisse Stefanelli Italy
Riccarda Rossi Italy
Hervé Le Dret France
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Yongho Choi South Korea
Matthias Röger Germany
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Citations per field
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Citations per year

Countries citing papers authored by Vanessa Styles

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Styles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vanessa Styles, 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 Vanessa Styles Line = papers co-authored together Vanessa Styles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016108
2 2008100
3 201999
4 200965
5 200463
6 201159
7 201048
8 201436
9 201232
10 201229
11 200125
12 201422
13 199913
14 201113
15 201312
16 200412
17 200710
18
Double obstacle phase field approach to an inverse problem for a discontinuous diffusion coefficient
201610
19 201110
20 20039

About Vanessa Styles

Vanessa Styles is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Computational Mechanics, Numerical Analysis and Civil and Structural Engineering, having authored 37 papers that have together received 835 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (20 papers), Solidification and crystal growth phenomena (14 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Differential Equations and Numerical Methods (5 papers), Topology Optimization in Engineering (5 papers), Aluminum Alloy Microstructure Properties (4 papers), Mathematical Biology Tumor Growth (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Computational Theory and Mathematics (398 citations), Computational Mechanics (328 citations), Modeling and Simulation (62 citations), Numerical Analysis (57 citations) and Materials Chemistry (349 citations). Vanessa Styles has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Harald Garcke, David Kay, Charles M. Elliott, Richard Welford, Luise Blank, Kei Fong Lam, Robert Nürnberg, Endre Süli, Klaus Deckelnick and John W. Barrett. Their work appears in journals such as Interfaces and Free Boundaries Mathematical Analysis Computation and Applications, IMA Journal of Numerical Analysis, SIAM Journal on Numerical Analysis, European Journal of Applied Mathematics and Numerical Methods for Partial Differential Equations.

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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