Tommaso Taddei

675 citations
27 papers · 357 indexed · h-index 11
Topics
Model Reduction and Neural Networks (24 papers)Advanced Numerical Methods in Computational Mathematics (12 papers)Probabilistic and Robust Engineering Design (7 papers)

In The Last Decade

Tommaso Taddei

25 papers receiving 342 citations

Peers

Tommaso Taddei
Comparison fields: 5 of 36
  • Statistical and Nonlinear Physics 297
  • Computational Mechanics 206
  • Statistics, Probability and Uncertainty 105
  • Numerical Analysis 65
  • Aerospace Engineering 39
Replace Diana Alina Bistrian with:
Diana Alina Bistrian Romania
Alexander Hay Canada
Irina Kalashnikova United States
Sébastien Boyaval France
A. Hay Canada
Pengzhan Jin China
Xuping Xie United States
Maciej Balajewicz United States
Olga Mula France
Sk. Mashfiqur Rahman United States
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Citations per field
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Citations per year

Countries citing papers authored by Tommaso Taddei

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Taddei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Taddei

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Taddei. A scholar is included among the top collaborators of Tommaso Taddei 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 Tommaso Taddei. Tommaso Taddei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 1
5 1
6 10
7 5
8 4
9 14
10 17
11 14
12 13
13 22
14 2
15 61
16 15
17 9
18 14
19 27
20 42

About Tommaso Taddei

Tommaso Taddei is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 357 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (24 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (297 citations), Statistics, Probability and Uncertainty (105 citations) and Numerical Analysis (65 citations). Tommaso Taddei has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Anthony T. Patera, Yvon Maday, Alfio Quarteroni, Angelo Iollo, Simona Perotto, Lei Zhang, Masayuki Yano, Andrea Ferrero, Xuejun Xu and Patrick Gallinari. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

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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