M. Guizzetti

15 total papers · 1.1k total citations
13 papers, 851 citations indexed

About

M. Guizzetti is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, M. Guizzetti has authored 13 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 10 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in M. Guizzetti's work include Innovative Energy Harvesting Technologies (13 papers), Energy Harvesting in Wireless Networks (9 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). M. Guizzetti is often cited by papers focused on Innovative Energy Harvesting Technologies (13 papers), Energy Harvesting in Wireless Networks (9 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). M. Guizzetti collaborates with scholars based in Italy, Denmark and United States. M. Guizzetti's co-authors include Vittorio Ferrari, Marco Ferrari, Salvatore Baglio, Carlo Trigona, Bruno Andò, D. Marioli, A. Taroni, Simone Dalola, Marco Baù and Karen Birkelund and has published in prestigious journals such as Sensors and Actuators A Physical, IEEE Transactions on Instrumentation and Measurement and Journal of Micromechanics and Microengineering.

In The Last Decade

M. Guizzetti

13 papers receiving 802 citations

Hit Papers

Improved energy harvestin... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Guizzetti 728 554 412 206 145 13 851
R. Elfrink 717 1.0× 699 1.3× 647 1.6× 80 0.4× 195 1.3× 28 1.0k
A. Boughamoura 428 0.6× 321 0.6× 241 0.6× 243 1.2× 492 3.4× 14 904
J. A. Hoffmann 803 1.1× 486 0.9× 473 1.1× 293 1.4× 18 0.1× 17 1.0k
Yingmin Zhu 623 0.9× 576 1.0× 402 1.0× 105 0.5× 29 0.2× 28 861
Neel Nadkarni 376 0.5× 218 0.4× 359 0.9× 132 0.6× 88 0.6× 10 852
S. Matova 601 0.8× 555 1.0× 536 1.3× 44 0.2× 48 0.3× 16 757
Pilkee Kim 658 0.9× 375 0.7× 312 0.8× 280 1.4× 18 0.1× 35 801
Vinod R. Challa 905 1.2× 728 1.3× 480 1.2× 194 0.9× 24 0.2× 12 977
Md. Nazibul Hasan 162 0.2× 372 0.7× 359 0.9× 150 0.7× 411 2.8× 24 808
Zheng Jun Chew 487 0.7× 605 1.1× 254 0.6× 51 0.2× 61 0.4× 33 765

Countries citing papers authored by M. Guizzetti

Since Specialization
Citations

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

Fields of papers citing papers by M. Guizzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Guizzetti

This figure shows the co-authorship network connecting the top 25 collaborators of M. Guizzetti. A scholar is included among the top collaborators of M. Guizzetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Guizzetti. M. Guizzetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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