Matteo Nardello

694 citations
42 papers · 442 · h-index 11

Impact in

Papers in

Matteo Nardello

35 papers receiving 437 citations

Peers

Matteo Nardello
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 215
  • Computer Networks and Communications 84
  • Hardware and Architecture 17
  • Computer Vision and Pattern Recognition 51
  • Industrial and Manufacturing Engineering 22
Replace Yuichi Kobayashi with:
Yuichi Kobayashi Japan
Xinghua Yang China
Peiyu Chen China
S. Radha India
Nor Hisham Hamid Malaysia
Daniele Trinchero Italy
Ahmed El Oualkadi Morocco
Mohammed Najm Abdullah Iraq
Stephan Hußmann Germany
Sze Wei Lee Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Nardello

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Nardello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 201944
3 202340
4 202235
5 202230
6 202226
7 201425
8 202518
9 201317
10 202016
11 202311
12 202110
13 201710
14 201810
15 202410
16 20178
17 20217
18 20157
19 20226
20 20226

About Matteo Nardello

Matteo Nardello is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 42 papers that have together received 442 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Smart Grid Energy Management (6 papers), IoT Networks and Protocols (5 papers), Energy Harvesting in Wireless Networks (5 papers), Ultra-Wideband Communications Technology (4 papers), Ion-surface interactions and analysis (3 papers), Advanced Neural Network Applications (3 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (215 citations), Computer Networks and Communications (84 citations), Hardware and Architecture (17 citations), Computer Vision and Pattern Recognition (51 citations) and Industrial and Manufacturing Engineering (22 citations). Matteo Nardello has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Davide Brunelli, Brandon Lucia, Harsh Desai, Daniele Fontanelli, Maurizio Rossi, Alain Jody Corso, Maria Guglielmina Pelizzo, Paola Zuppella, He Wen and Zhongzong Yan. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, ACM Transactions on Embedded Computing Systems, IEEE Sensors Journal, Renewable and Sustainable Energy Reviews and Optical Materials Express.

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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