Luca Daniel

150 papers receiving 2.7k citations

Peers

Luca Daniel
Comparison fields: 5 of 89
  • Computational Mathematics 133
  • Statistics, Probability and Uncertainty 682
  • Statistical and Nonlinear Physics 969
  • Numerical Analysis 322
  • Electrical and Electronic Engineering 1.4k
Replace Zheng Zhang with:
Zheng Zhang United States
Ngai Wong Hong Kong
Ibrahim M. Elfadel United Arab Emirates
Lawrence T. Pileggi United States
Andrew J. Kurdila United States
Andrew Packard United States
Sheldon X.-D. Tan United States
Wim Michiels Belgium
Flavio Canavero Italy
M. Chilali France
Luca Daniel relative to Zheng Zhang United States Zheng Zhang's profile →
Citations per field
00.5×5.6×
Zheng Zhang · 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 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004265
2 2003223
3 2013145
4 201978
5 201577
6 201476
7 200771
8 201664
9 201660
10 200257
11 201745
12 200944
13 201043
14 202043
15
Efficient Neural Network Robustness Certification with General Activation Functions
201842
16 201540
17 201940
18 202039
19 201439
20 201538

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 159 papers that have together received 2.8k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (38 papers), Probabilistic and Robust Engineering Design (37 papers), Electromagnetic Scattering and Analysis (25 papers), Electromagnetic Simulation and Numerical Methods (24 papers), Low-power high-performance VLSI design (14 papers), Electromagnetic Compatibility and Noise Suppression (14 papers), Numerical methods for differential equations (13 papers) and Real-time simulation and control systems (11 papers). The work is most often cited by research in Computational Mathematics (133 citations), Statistics, Probability and Uncertainty (682 citations), Statistical and Nonlinear Physics (969 citations), Numerical Analysis (322 citations) and Electrical and Electronic Engineering (1.4k citations). Luca Daniel has collaborated with scholars based in United States, Italy and Hong Kong. Frequent co-authors include Zheng Zhang, Bradley N. Bond, Joel Phillips, L. Miguel Silveira, Tarek A. El-Moselhy, Paolo Maffezzoni, Jacob White, Ibrahim M. Elfadel, Tsui-Wei Weng and Pin‐Yu Chen. 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 Access, IEEE Transactions on Power Systems 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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