Luca Daniel

173 papers receiving 3.2k citations

Peers

Luca Daniel
Comparison fields: 5 of 69
  • Computational Mathematics 182
  • Statistical and Nonlinear Physics 731
  • Statistics, Probability and Uncertainty 396
  • Electrical and Electronic Engineering 1.4k
  • Control and Systems Engineering 417
Replace Ibrahim M. Elfadel with:
Ibrahim M. Elfadel United Arab Emirates
Lawrence T. Pileggi United States
Ngai Wong Hong Kong
Luis Miguel Silveira Portugal
Dries Vande Ginste Belgium
Ramachandra Achar Canada
Paolo Maffezzoni Italy
Jaijeet Roychowdhury United States
Sergio Benedetto Italy
José E. Schutt‐Ainé United States
Luca Daniel relative to Ibrahim M. Elfadel United Arab Emirates Ibrahim M. Elfadel's profile →
Citations per field
00.5×5×12.1×
Ibrahim M. Elfadel · 1×
Citations per year

Countries citing papers authored by Luca Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Luca Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Daniel, 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 Luca Daniel Line = papers co-authored together Luca Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004263
2 2003215
3 2013151
4 201987
5 201484
6 199983
7 201581
8 201480
9 200772
10 201670
11 201661
12 202053
13 202048
14
Parameterized model order reduction for nonlinear dynamical systems
200547
15 200946
16 201446
17 201045
18 201745
19 201544
20 201540

About Luca Daniel

Luca Daniel is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Atomic and Molecular Physics, and Optics and Control and Systems Engineering, having authored 181 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (31 papers), Model Reduction and Neural Networks (25 papers), Low-power high-performance VLSI design (19 papers), Probabilistic and Robust Engineering Design (19 papers), VLSI and FPGA Design Techniques (16 papers), Advanced Control Systems Design (15 papers), Electromagnetic Simulation and Numerical Methods (13 papers) and Adversarial Robustness in Machine Learning (11 papers). The work is most often cited by research in Computational Mathematics (182 citations), Statistical and Nonlinear Physics (731 citations), Statistics, Probability and Uncertainty (396 citations), Electrical and Electronic Engineering (1.4k citations) and Control and Systems Engineering (417 citations). Luca Daniel has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Zheng Zhang, Jacob White, Bradley N. Bond, Tarek Moselhy, Paolo Maffezzoni, Luis Miguel Silveira, Joel R. Phillips, Ibrahim M. Elfadel, Tsui-Wei Weng and Athanasios G. Polimeridis. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Power Systems, IEEE Access and IEEE Transactions on Biomedical 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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