Daniele Bertaccini

34 papers receiving 708 citations

Peers

Daniele Bertaccini
Comparison fields: 5 of 56
  • Numerical Analysis 327
  • Computational Theory and Mathematics 515
  • Computational Mathematics 16
  • Sensory Systems 96
  • Modeling and Simulation 90
Replace Peter Kravanja with:
Peter Kravanja Belgium
Gabriele Steidl Germany
A. Bouhamidi France
Flavio Sartoretto Italy
Niloufer Mackey United States
Paul Binding Canada
Fabio Di Benedetto Italy
Gerald Moore United Kingdom
Shu‐Lin Wu China
Jennifer Pestana United Kingdom
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Citations per year

Countries citing papers authored by Daniele Bertaccini

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bertaccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniele Bertaccini, 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 Daniele Bertaccini Line = papers co-authored together Daniele Bertaccini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007131
2
EFFICIENT PRECONDITIONING FOR SEQUENCES OF PARAMETRIC COMPLEX SYMMETRIC LINEAR SYSTEMS
200478
3 200466
4 200346
5 200042
6 200326
7 200926
8 201825
9 201225
10 201323
11 201121
12 201620
13 201019
14 201119
15 200116
16 201815
17 201915
18 201115
19 200514
20 201913

About Daniele Bertaccini

Daniele Bertaccini is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Numerical Analysis, Computational Mechanics and Cognitive Neuroscience, having authored 35 papers that have together received 756 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Electromagnetic Scattering and Analysis (15 papers), Numerical methods for differential equations (13 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Hearing Loss and Rehabilitation (6 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Acoustic Wave Phenomena Research (4 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Numerical Analysis (327 citations), Computational Theory and Mathematics (515 citations), Computational Mathematics (16 citations), Sensory Systems (96 citations) and Modeling and Simulation (90 citations). Daniele Bertaccini has collaborated with scholars based in Italy, United States and Hong Kong. Frequent co-authors include Michele Benzi, Stefano Serra‐Capizzano, Michael K. Ng, Gene H. Golub, Renata Sisto, Arturo Moleti, Cristina Tablino–Possio, Salvatore Filippone, Stefania Bellavia and Benedetta Morini. Their work appears in journals such as The Journal of the Acoustical Society of America, BIT Numerical Mathematics, SIAM Journal on Numerical Analysis, Numerical Linear Algebra with Applications and Journal of Computational Physics.

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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