Luca Daniel

147 papers receiving 2.5k citations

Peers

Luca Daniel
Comparison fields: 5 of 90
  • Computational Mathematics 130
  • Statistics, Probability and Uncertainty 649
  • Statistical and Nonlinear Physics 904
  • Numerical Analysis 298
  • Electrical and Electronic Engineering 1.3k
Replace Zheng Zhang with:
Zheng Zhang United States
Ngai Wong Hong Kong
Joel Phillips United States
Ibrahim M. Elfadel United States
Serkan Gugercin United States
Athanasios C. Antoulas United States
Biswa Nath Datta United States
Lawrence T. Pileggi United States
Bassam Bamieh United States
A.C. Antoulas United States
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 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004247
2 2003203
3 2013142
4 201575
5 201473
6 200768
7 201661
8 201658
9 200252
10 200944
11 201744
12
Efficient Neural Network Robustness Certification with General Activation Functions
201841
13 202041
14 201540
15 201040
16 201439
17 201537
18 201937
19 200836
20 201835

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 156 papers that have together received 2.6k 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 (26 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 (130 citations), Statistics, Probability and Uncertainty (649 citations), Statistical and Nonlinear Physics (904 citations), Numerical Analysis (298 citations) and Electrical and Electronic Engineering (1.3k 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, Jacob White, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Tsui-Wei Weng and Alexandre Megretski. 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 Antennas and Wireless Propagation Letters.

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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