Anna Dall’Acqua

674 citations
31 papers · 343 · h-index 12

Impact in

Papers in

Anna Dall’Acqua

31 papers receiving 305 citations

Peers

Anna Dall’Acqua
Comparison fields: 5 of 38
  • Applied Mathematics 267
  • Computational Theory and Mathematics 164
  • Mathematical Physics 86
  • Geometry and Topology 75
  • Computational Mechanics 47
Replace Emanuele Spadaro with:
Emanuele Spadaro Italy
Gian Paolo Leonardi Italy
Mi-Ho Giga Japan
Cecilia Cavaterra Italy
Bianca Stroffolini Italy
Simon Blatt Germany
Ulrich Dierkes Germany
N. S. Dairbekov Kazakhstan
Jun O’Hara Japan
Patricio Avilés United States
Anna Dall’Acqua relative to Emanuele Spadaro Italy Emanuele Spadaro's profile →
Citations per field
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Emanuele Spadaro · 1×
Citations per year

Countries citing papers authored by Anna Dall’Acqua

Since Specialization
Citations

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

Fields of papers citing papers by Anna Dall’Acqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Dall’Acqua. 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 Anna Dall’Acqua. The network helps show where Anna Dall’Acqua may publish in the future.

Co-authors

The 14 scholars most cited alongside Anna Dall’Acqua, 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 Anna Dall’Acqua Line = papers co-authored together Anna Dall’Acqua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200441
2 200836
3 201433
4 200825
5 201623
6 201021
7 201018
8 200415
9 201814
10 201913
11 200513
12 201212
13 201710
14 20149
15 20128
16 20118
17 20128
18 20045
19 20175
20 20104

About Anna Dall’Acqua

Anna Dall’Acqua is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics and Mechanics of Materials, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (16 papers), Advanced Mathematical Modeling in Engineering (15 papers), Nonlinear Partial Differential Equations (13 papers), Geometry and complex manifolds (6 papers), Composite Material Mechanics (5 papers), Numerical methods in inverse problems (4 papers), Spectral Theory in Mathematical Physics (4 papers) and Elasticity and Material Modeling (4 papers). The work is most often cited by research in Applied Mathematics (267 citations), Computational Theory and Mathematics (164 citations), Mathematical Physics (86 citations), Geometry and Topology (75 citations) and Computational Mechanics (47 citations). Anna Dall’Acqua has collaborated with scholars based in Germany, Netherlands and Taiwan. Frequent co-authors include Paola Pozzi, Guido Sweers, Klaus Deckelnick, Hans-Christoph Grunau, Thomas Østergaard Sørensen, Chun‐Chi Lin, Friedhelm Schieweck, Glen Wheeler, Lin - and Søren Fournais. Their work appears in journals such as Journal of Differential Equations, Calculus of Variations and Partial Differential Equations, Analysis & PDE, Annali di Matematica Pura ed Applicata (1923 -) and SIAM Journal on Mathematical Analysis.

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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