N. Pitrone

44 papers receiving 302 citations

Peers

N. Pitrone
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 73
  • Media Technology 26
  • Biomedical Engineering 125
  • Statistics, Probability and Uncertainty 20
  • Electrical and Electronic Engineering 148
Replace Jovan S. Bajić with:
Jovan S. Bajić Serbia
Wei Sheng China
Rodrigo Picos Spain
Liming W. Salvino United States
Lei Yu China
Sanjoy Kumar Saha India
Feng Zheng United States
Darren T. Schachter United States
Zoey Hu United States
Wim Casteels Belgium
N. Pitrone relative to Jovan S. Bajić Serbia Jovan S. Bajić's profile →
Citations per field
00.5×4.3×
Jovan S. Bajić · 1×
Citations per year

Countries citing papers authored by N. Pitrone

Since Specialization
Citations

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

Fields of papers citing papers by N. Pitrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Pitrone, 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 N. Pitrone Line = papers co-authored together N. Pitrone 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 200636
2 200933
3 200825
4 200821
5 199921
6 200819
7 200015
8 200015
9 200613
10 200413
11 200412
12 200210
13 20049
14 19978
15 20077
16 19887
17 20026
18
Low-cost solar Radiation Sensing Transducer for Photovoltaic Systems
20095
19 19995
20 20085

About N. Pitrone

N. Pitrone is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Biomedical Engineering and Artificial Intelligence, having authored 50 papers that have together received 336 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (11 papers), Sensor Technology and Measurement Systems (8 papers), Advanced MEMS and NEMS Technologies (7 papers), Experimental Learning in Engineering (7 papers), Probabilistic and Robust Engineering Design (6 papers), Neural Networks and Applications (5 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers) and Acoustic Wave Resonator Technologies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (73 citations), Media Technology (26 citations), Biomedical Engineering (125 citations), Statistics, Probability and Uncertainty (20 citations) and Electrical and Electronic Engineering (148 citations). N. Pitrone has collaborated with scholars based in Italy and United States. Frequent co-authors include Bruno Andò, Salvatore Baglio, Salvatore Graziani, A. Ascia, Carlo Trigona, N. Savalli, Adi R. Bulsara, Visarath In, P. Giannone and M. Coltelli. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Education, IEEE Instrumentation & Measurement Magazine, International Journal of Electronics and Transactions of the Institute of Measurement and Control.

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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