D. D’Amore

928 citations
67 papers · 787 · h-index 15

Impact in

Papers in

D. D’Amore

63 papers receiving 761 citations

Peers

D. D’Amore
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 315
  • Statistics, Probability and Uncertainty 112
  • Electrical and Electronic Engineering 524
  • Numerical Analysis 48
  • Electronic, Optical and Magnetic Materials 87
Replace Tamara Bechtold with:
Tamara Bechtold Germany
Jayanta Pal India
Thomas Henneron France
J.L. Prince United States
T.J. Aprille United States
Rabah W. Aldhaheri Saudi Arabia
Yao Huang China
Piero Triverio Canada
Hong Bae Park South Korea
S. Banerjee United States
D. D’Amore relative to Tamara Bechtold Germany Tamara Bechtold's profile →
Citations per field
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Tamara Bechtold · 1×
Citations per year

Countries citing papers authored by D. D’Amore

Since Specialization
Citations

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

Fields of papers citing papers by D. D’Amore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. D’Amore. 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 D. D’Amore. The network helps show where D. D’Amore may publish in the future.

Co-authors

The 21 scholars most cited alongside D. D’Amore, 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 D. D’Amore Line = papers co-authored together D. D’Amore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200389
2 200380
3 200447
4 200538
5 200936
6 200434
7 200931
8 200830
9 200730
10 200229
11 201727
12 201819
13 198917
14 200816
15 201016
16 200514
17 199314
18 200613
19 201113
20 201112

About D. D’Amore

D. D’Amore is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Biomedical Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 67 papers that have together received 787 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (17 papers), Low-power high-performance VLSI design (12 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Radio Frequency Integrated Circuit Design (11 papers), Silicon Carbide Semiconductor Technologies (9 papers), Advancements in PLL and VCO Technologies (9 papers), Probabilistic and Robust Engineering Design (7 papers) and Analog and Mixed-Signal Circuit Design (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (315 citations), Statistics, Probability and Uncertainty (112 citations), Electrical and Electronic Engineering (524 citations), Numerical Analysis (48 citations) and Electronic, Optical and Magnetic Materials (87 citations). D. D’Amore has collaborated with scholars based in Italy, Ireland and France. Frequent co-authors include Paolo Maffezzoni, Lorenzo Codecasa, Angelo Brambilla, W. Batty, Vincenzo d’Alessandro, Alessandro Ferrero, Alessandro Magnani, Eric Monier-Vinard, Saeid Daneshgar and Michael Peter Kennedy. Their work appears in journals such as Electronics Letters, IEEE Transactions on Components and Packaging Technologies, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Journal of Circuit Theory and Applications and IEEE Transactions on Electron Devices.

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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