Luca Boarino

4.5k citations
187 papers · 3.5k indexed · 1 hit paper · h-index 31

Luca Boarino

185 papers receiving 3.4k citations

Hit Papers

In materia reservoir computing with a fully memristive ar...3222021202620222024100200300

Peers

Luca Boarino
Comparison fields: 5 of 93
  • Electrical and Electronic Engineering 2.0k
  • Materials Chemistry 1.6k
  • Biomedical Engineering 1.2k
  • Bioengineering 126
  • Atomic and Molecular Physics, and Optics 623
Replace Michio Niwano with:
Michio Niwano Japan
D. Tsoukalas Greece
Tomonobu Nakayama Japan
Hochan Lee South Korea
Anatoli V. Melechko United States
Bin Cheng China
Alex Belianinov United States
Simin Feng United States
Jun Wang China
Daisuke Fujita Japan
Luca Boarino relative to Michio Niwano Japan Michio Niwano's profile →
Citations per field
00.5×1.5×2.3×
Michio Niwano · 1×
Citations per year

Countries citing papers authored by Luca Boarino

Since Specialization
Citations

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

Fields of papers citing papers by Luca Boarino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20236
5 202268
6 20211
7 202038
8 20191
9 201710
10 20179
11 20162
12 201621
13 20167
14 201517
15 201515
16 20156
17 201446
18 201333
19 20051
20 200114

About Luca Boarino

Luca Boarino is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 187 papers that have together received 3.5k indexed citations. Recurring topics across this work include Silicon Nanostructures and Photoluminescence (65 papers), Nanowire Synthesis and Applications (63 papers), Semiconductor materials and devices (50 papers), Block Copolymer Self-Assembly (19 papers), Advanced Memory and Neural Computing (16 papers), Thin-Film Transistor Technologies (16 papers), Photonic Crystals and Applications (16 papers) and Thermography and Photoacoustic Techniques (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.0k citations), Materials Chemistry (1.6k citations) and Biomedical Engineering (1.2k citations). Luca Boarino has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Giampiero Amato, Gianluca Milano, Carlo Ricciardi, Natascia De Leo, Andrea Mario Rossi, Michele Laus, Stefano Borini, Katia Sparnacci, Daniele Ielmini and Giacomo Pedretti. Their work appears in journals such as Chemical Society Reviews, Advanced Materials and Angewandte Chemie International Edition.

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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