Enrico Piccinini

81 total papers · 639 total citations
51 papers, 468 citations indexed

About

Enrico Piccinini is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Enrico Piccinini has authored 51 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 29 papers in Materials Chemistry and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Enrico Piccinini's work include Phase-change materials and chalcogenides (28 papers), Chalcogenide Semiconductor Thin Films (18 papers) and Liquid Crystal Research Advancements (9 papers). Enrico Piccinini is often cited by papers focused on Phase-change materials and chalcogenides (28 papers), Chalcogenide Semiconductor Thin Films (18 papers) and Liquid Crystal Research Advancements (9 papers). Enrico Piccinini collaborates with scholars based in Italy, United States and Poland. Enrico Piccinini's co-authors include M. Rudan, R. Brunetti, Carlo Jacoboni, Fabrizio Buscemi, Marco Giacinti Baschetti, Giulio C. Sarti, Andrea Cappelli, Antonio Agnesi, Eric Pop and G. Reali and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Macromolecules.

In The Last Decade

Enrico Piccinini

50 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Enrico Piccinini 305 244 119 67 62 51 468
Hiroyasu Yamahara 236 0.8× 155 0.6× 108 0.9× 29 0.4× 87 1.4× 60 519
Fang Jin 282 0.9× 104 0.4× 133 1.1× 36 0.5× 124 2.0× 77 534
Litao Zhao 243 0.8× 213 0.9× 105 0.9× 21 0.3× 163 2.6× 42 492
Yumin Lee 202 0.7× 174 0.7× 108 0.9× 81 1.2× 45 0.7× 39 535
Mingyuan Sun 185 0.6× 147 0.6× 178 1.5× 62 0.9× 113 1.8× 45 544
Khaled H. Ibrahim 226 0.7× 206 0.8× 38 0.3× 45 0.7× 130 2.1× 36 449
Sung‐Kyu Hong 340 1.1× 237 1.0× 70 0.6× 66 1.0× 56 0.9× 32 523
Chen‐Fu Lin 344 1.1× 174 0.7× 50 0.4× 89 1.3× 94 1.5× 41 493
C. D. Mukherjee 193 0.6× 283 1.2× 49 0.4× 62 0.9× 43 0.7× 39 493
Shintaro Suzuki 159 0.5× 169 0.7× 69 0.6× 18 0.3× 105 1.7× 39 514

Countries citing papers authored by Enrico Piccinini

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Piccinini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Piccinini

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