Debra A. Polignone

13 papers receiving 909 citations

Peers

Debra A. Polignone
Comparison fields: 5 of 74
  • Biomedical Engineering 404
  • Materials Chemistry 346
  • Mechanics of Materials 338
  • Computational Mechanics 296
  • Computational Theory and Mathematics 183
Replace Miroslav Šilhavý with:
Miroslav Šilhavý Czechia
Frederick Bloom United States
P. Puri United States
Michele Ciarletta Italy
Gianpietro Del Piero Italy
Ulisse Stefanelli Italy
Adam Zdunek Sweden
Vladimir Mityushev Poland
Gregory J. Rodin United States
Arkadi Berezovski Estonia
Debra A. Polignone relative to Miroslav Šilhavý Czechia Miroslav Šilhavý's profile →
Citations per field
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Miroslav Šilhavý · 1×
Citations per year

Countries citing papers authored by Debra A. Polignone

Since Specialization
Citations

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

Fields of papers citing papers by Debra A. Polignone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra A. Polignone. 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 Debra A. Polignone. The network helps show where Debra A. Polignone may publish in the future.

Co-authorship network of co-authors of Debra A. Polignone

This figure shows the co-authorship network connecting the top 25 collaborators of Debra A. Polignone. A scholar is included among the top collaborators of Debra A. Polignone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debra A. Polignone. Debra A. Polignone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
International Journal of Nonlinear Mechanics
180
2 3
3 2
4 390
5 176
6 14
7
PURE AZIMUTHAL SHEAR OF COMPRESSIBLE NON-LINEARLY ELASTIC TUBE
4
8 33
9 73
10 28
11 31
12 42
13
New evidence favoring multilevel decomposition and optimization
2

About Debra A. Polignone

Debra A. Polignone is a scholar working on Mechanics of Materials, Fluid Flow and Transfer Processes and Computational Theory and Mathematics, having authored 13 papers that have together received 978 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (8 papers), Elasticity and Wave Propagation (8 papers) and Rheology and Fluid Dynamics Studies (2 papers). The work is most often cited by research in Computational Mechanics (296 citations), Mechanics of Materials (338 citations) and Fluid Flow and Transfer Processes (79 citations). Debra A. Polignone has collaborated with scholars based in United States. Frequent co-authors include Cornelius O. Horgan, Jorge Viñals, Morton E. Gurtin, Matthew Hayes, Giuseppe Saccomandi, Joseph E. Paullet and Sharon L. Padula. Their work appears in journals such as International Journal of Solids and Structures, Applied Mechanics Reviews and Mathematical Models and Methods in Applied Sciences.

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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