Paolo Maffezzoni

2.2k citations
123 papers · 1.7k indexed · h-index 25

Paolo Maffezzoni

122 papers receiving 1.6k citations

Peers

Paolo Maffezzoni
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 333
  • Statistics, Probability and Uncertainty 163
  • Electrical and Electronic Engineering 1.3k
  • Numerical Analysis 57
  • Automotive Engineering 77
Replace Yung‐Jr Hung with:
Yung‐Jr Hung Taiwan
Wenjian Yu China
Robert J. Veillette United States
Angelo Brambilla Italy
Larry Pileggi United States
Federico Bizzarri Italy
Yogesh V. Hote India
Qingsha S. Cheng China
Víctor M. Alvarado Mexico
José E. Schutt‐Ainé United States
Paolo Maffezzoni relative to Yung‐Jr Hung Taiwan Yung‐Jr Hung's profile →
Citations per field
00.5×3.3×
Yung‐Jr Hung · 1×
Citations per year

Countries citing papers authored by Paolo Maffezzoni

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Maffezzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20231
3 20224
4 20227
5 202111
6 201925
7 201835
8 20172
9 200727
10 200613
11 200512
12 200538
13
A Novel Approach to Passive Multi-Point Moment Matching Model Reduction of RLC Networks
20031
14 200378
15 200319
16 20031
17
Discretized Thermal Network Model Order Reduction by Galerkin's Method
20012
18
A Rigorous Approach to Electro-Thermal Network Modeling
20013
19 200111
20 20005

About Paolo Maffezzoni

Paolo Maffezzoni is a scholar working on Statistics, Probability and Uncertainty, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 123 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (36 papers), Advancements in PLL and VCO Technologies (29 papers), Analog and Mixed-Signal Circuit Design (19 papers), Probabilistic and Robust Engineering Design (17 papers), Low-power high-performance VLSI design (16 papers), Model Reduction and Neural Networks (14 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Electromagnetic Compatibility and Noise Suppression (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (333 citations), Statistics, Probability and Uncertainty (163 citations) and Electrical and Electronic Engineering (1.3k citations). Paolo Maffezzoni has collaborated with scholars based in Italy, United States and China. Frequent co-authors include D. D’Amore, Lorenzo Codecasa, Luca Daniel, Angelo Brambilla, Giambattista Gruosso, Salvatore Levantino, Zheng Zhang, Alberto Bernardini, Augusto Sarti and Carlo Samori. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems and IEEE Access.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026