Michele Lanzetta

146 total papers · 1.7k total citations
69 papers, 1.3k citations indexed

About

Michele Lanzetta is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Michele Lanzetta has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Industrial and Manufacturing Engineering, 22 papers in Mechanical Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Michele Lanzetta's work include Manufacturing Process and Optimization (16 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Industrial Vision Systems and Defect Detection (11 papers). Michele Lanzetta is often cited by papers focused on Manufacturing Process and Optimization (16 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Industrial Vision Systems and Defect Detection (11 papers). Michele Lanzetta collaborates with scholars based in Italy, Sweden and United States. Michele Lanzetta's co-authors include Andrea Rossi, Mark R. Cutkosky, Sangbae Kim, Alan T. Asbeck, William R. Provancher, Emanuel M. Sachs, Alessandro Franco, Luca Romoli, Ming C. Leu and S. K. Ong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Michele Lanzetta

65 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Michele Lanzetta 475 472 379 239 134 69 1.3k
Gianfranco Genta 415 0.9× 572 1.2× 198 0.5× 143 0.6× 210 1.6× 127 1.4k
Bibhuti Bhusan Biswal 510 1.1× 753 1.6× 301 0.8× 263 1.1× 140 1.0× 80 1.4k
Dong-Hyeon Kim 242 0.5× 782 1.7× 297 0.8× 237 1.0× 119 0.9× 65 1.3k
Kai Yu 507 1.1× 772 1.6× 229 0.6× 441 1.8× 163 1.2× 119 1.7k
Chenhui Shao 339 0.7× 815 1.7× 179 0.5× 162 0.7× 219 1.6× 91 1.7k
Ahmad Barari 587 1.2× 750 1.6× 178 0.5× 580 2.4× 99 0.7× 116 1.3k
Ming-Chuan Leu 334 0.7× 539 1.1× 359 0.9× 452 1.9× 361 2.7× 111 1.6k
Peter Plapper 403 0.8× 763 1.6× 144 0.4× 190 0.8× 238 1.8× 116 1.6k
Zhen Shen 363 0.8× 305 0.6× 358 0.9× 464 1.9× 188 1.4× 143 1.7k
Jianhua Liu 213 0.4× 433 0.9× 134 0.4× 187 0.8× 131 1.0× 85 1.2k

Countries citing papers authored by Michele Lanzetta

Since Specialization
Citations

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

Fields of papers citing papers by Michele Lanzetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Lanzetta

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Lanzetta. A scholar is included among the top collaborators of Michele Lanzetta 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 Michele Lanzetta. Michele Lanzetta 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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