M. D’Apuzzo

1.0k citations
50 papers · 835 · h-index 16

Impact in

Papers in

M. D’Apuzzo

47 papers receiving 783 citations

Peers

M. D’Apuzzo
Comparison fields: 5 of 62
  • Control and Systems Engineering 260
  • Electrical and Electronic Engineering 567
  • Signal Processing 88
  • Computer Networks and Communications 140
  • Hardware and Architecture 34
Replace C. Offelli with:
C. Offelli Italy
A. Baccigalupi Italy
Linus Michaeli Slovakia
Dragoş Nicolae Vizireanu Romania
David Cyganski United States
Salvatore Nuccio Italy
Kai Chen China
Wendy Van Moer Belgium
R. Fischl United States
M. D’Apuzzo relative to C. Offelli Italy C. Offelli's profile →
Citations per field
00.5×2.6×
C. Offelli · 1×
Citations per year

Countries citing papers authored by M. D’Apuzzo

Since Specialization
Citations

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

Fields of papers citing papers by M. D’Apuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. D’Apuzzo, 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 M. D’Apuzzo Line = papers co-authored together M. D’Apuzzo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998245
2 199478
3 199535
4 200131
5 200330
6 201529
7
A new wavelet transform based procedure for electrical power quality analysis
199627
8 199827
9 201025
10 199924
11 201422
12 200022
13 200420
14 201620
15 201719
16 199218
17 201315
18 201314
19 200412
20 200812

About M. D’Apuzzo

M. D’Apuzzo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 835 indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (16 papers), Advanced Electrical Measurement Techniques (15 papers), Analog and Mixed-Signal Circuit Design (13 papers), Power Quality and Harmonics (8 papers), Sensor Technology and Measurement Systems (7 papers), Image and Signal Denoising Methods (7 papers), Wireless Communication Networks Research (6 papers) and Control Systems and Identification (5 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Electrical and Electronic Engineering (567 citations), Signal Processing (88 citations), Computer Networks and Communications (140 citations) and Hardware and Architecture (34 citations). M. D’Apuzzo has collaborated with scholars based in Italy, Australia and Pakistan. Frequent co-authors include Leopoldo Angrisani, Pasquale Daponte, Mauro D’Arco, A. Testa, G. Betta, A. Bernieri, Annalisa Liccardo, Michele Vadursi, Lucia Sansone and Francesco Bonavolontà. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, IEEE Transactions on Power Delivery, Journal of Instrumentation and Review of Scientific Instruments.

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