Daniel Belega

1.8k citations
77 papers · 1.3k · h-index 20

Impact in

Papers in

Daniel Belega

71 papers receiving 1.2k citations

Peers

Daniel Belega
Comparison fields: 5 of 49
  • Electrical and Electronic Engineering 1.2k
  • Control and Systems Engineering 391
  • Electronic, Optical and Magnetic Materials 209
  • Civil and Structural Engineering 216
  • Computer Vision and Pattern Recognition 186
Replace Dominique Dallet with:
Dominique Dallet France
M. D’Apuzzo Italy
T. Łobos Poland
Sami Barmada Italy
A. Masi Switzerland
David Granados‐Lieberman Mexico
G. D’Antona Italy
Luke Dosiek United States
E. Barocio Mexico
Jean Renneboog Belgium
Daniel Belega relative to Dominique Dallet France Dominique Dallet's profile →
Citations per field
00.5×3.9×
Dominique Dallet · 1×
Citations per year

Countries citing papers authored by Daniel Belega

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Belega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Daniel Belega, 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 Daniel Belega Line = papers co-authored together Daniel Belega links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013150
2 2008109
3 201583
4 201081
5 201370
6 200766
7 201558
8 201547
9 201341
10 201339
11 201437
12 201733
13 201030
14 201127
15 201525
16 202124
17 201821
18 201220
19 200919
20 201519

About Daniel Belega

Daniel Belega is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (73 papers), Power Quality and Harmonics (24 papers), Magnetic Properties and Applications (23 papers), Power System Optimization and Stability (20 papers), Structural Health Monitoring Techniques (19 papers), Image and Signal Denoising Methods (17 papers), Power Systems Fault Detection (13 papers) and Analog and Mixed-Signal Circuit Design (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.2k citations), Control and Systems Engineering (391 citations), Electronic, Optical and Magnetic Materials (209 citations), Civil and Structural Engineering (216 citations) and Computer Vision and Pattern Recognition (186 citations). Daniel Belega has collaborated with scholars based in Romania, Italy and France. Frequent co-authors include Dario Petri, Dominique Dallet, Daniele Fontanelli, David Macii, Grazia Barchi and Ciprian Dughir. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, Digital Signal Processing, Signal Processing and Computer Standards & Interfaces.

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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