Danilo Crippa

709 total citations
40 papers, 459 citations indexed

About

Danilo Crippa is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Danilo Crippa has authored 40 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 12 papers in Electronic, Optical and Magnetic Materials and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Danilo Crippa's work include Silicon Carbide Semiconductor Technologies (38 papers), Semiconductor materials and devices (23 papers) and Silicon and Solar Cell Technologies (13 papers). Danilo Crippa is often cited by papers focused on Silicon Carbide Semiconductor Technologies (38 papers), Semiconductor materials and devices (23 papers) and Silicon and Solar Cell Technologies (13 papers). Danilo Crippa collaborates with scholars based in Italy, Switzerland and India. Danilo Crippa's co-authors include Marco Mauceri, Francesco La Via, Giuseppe Abbondanza, Giuseppe Pistone, Stefano Leone, G. Fóti, L. Calcagno, G. Galvagno, Alessandro Veneroni and Gaetano Foti and has published in prestigious journals such as Journal of Applied Physics, Materials and Materials & Design.

In The Last Decade

Danilo Crippa

38 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danilo Crippa Italy 12 418 151 71 55 36 40 459
Hervé Peyre France 12 331 0.8× 98 0.6× 93 1.3× 101 1.8× 20 0.6× 55 372
Véronique Soulière France 11 312 0.7× 68 0.5× 122 1.7× 153 2.8× 25 0.7× 74 388
Dai Okamoto Japan 15 955 2.3× 166 1.1× 89 1.3× 166 3.0× 60 1.7× 43 981
E. Downey United States 8 376 0.9× 75 0.5× 76 1.1× 93 1.7× 27 0.8× 11 424
Akimasa Kinoshita Japan 12 375 0.9× 43 0.3× 48 0.7× 128 2.3× 19 0.5× 40 407
T. Troffer Germany 8 505 1.2× 58 0.4× 59 0.8× 142 2.6× 53 1.5× 12 514
K. Rottner Sweden 10 399 1.0× 52 0.3× 51 0.7× 114 2.1× 28 0.8× 25 409
Hironori Nishino Japan 8 319 0.8× 101 0.7× 59 0.8× 92 1.7× 32 0.9× 23 341
Calvin H. Carter China 16 621 1.5× 114 0.8× 96 1.4× 148 2.7× 73 2.0× 23 671
Fangzhen Wu United States 13 330 0.8× 77 0.5× 57 0.8× 105 1.9× 24 0.7× 34 389

Countries citing papers authored by Danilo Crippa

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Crippa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Crippa

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Crippa. A scholar is included among the top collaborators of Danilo Crippa 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 Danilo Crippa. Danilo Crippa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Scuderi, Viviana, Corrado Bongiorno, Ruggero Anzalone, et al.. (2023). Advanced approach of bulk (111) 3C-SiC epitaxial growth. Microelectronic Engineering. 283. 112116–112116. 3 indexed citations
2.
Carria, E., et al.. (2023). Development of n-type epitaxial growth on 200 mm 4H-SiC wafers for the next generation of power devices. Microelectronic Engineering. 274. 111976–111976. 7 indexed citations
3.
Xu, Xueping, Hui Wang, Ilya Zwieback, et al.. (2021). Paving the way toward the world's first 200mm SiC pilot line. Materials Science in Semiconductor Processing. 135. 106088–106088. 30 indexed citations
4.
Scuderi, Viviana, Ruggero Anzalone, Marco Mauceri, et al.. (2021). Effect of Nitrogen and Aluminum Doping on 3C-SiC Heteroepitaxial Layers Grown on 4° Off-Axis Si (100). Materials. 14(16). 4400–4400. 9 indexed citations
5.
Sarikov, Andrey, Anna Marzegalli, Massimo Zimbone, et al.. (2021). Mechanism of stacking fault annihilation in 3C-SiC epitaxially grown on Si(001) by molecular dynamics simulations. CrystEngComm. 23(7). 1566–1571. 5 indexed citations
6.
Boninelli, Simona, F. Mancarella, Marco Mauceri, et al.. (2021). Growth of thick [1 1 1]-oriented 3C-SiC films on T-shaped Si micropillars. Materials & Design. 208. 109833–109833. 8 indexed citations
7.
Bergamaschini, Roberto, Marco Mauceri, Danilo Crippa, et al.. (2019). Growth and Coalescence of 3C-SiC on Si(111) Micro-Pillars by a Phase-Field Approach. Materials. 12(19). 3223–3223. 7 indexed citations
8.
Marzegalli, Anna, Roberto Bergamaschini, Marco Mauceri, et al.. (2018). Solving the critical thermal bowing in 3C-SiC/Si(111) by a tilting Si pillar architecture. Journal of Applied Physics. 123(18). 5 indexed citations
9.
Mauceri, Marco, F. Mancarella, Francesco La Via, et al.. (2018). X-ray diffraction on stacking faults in 3C-SiC epitaxial microcrystals grown on patterned Si(0 0 1) wafers. Journal of Crystal Growth. 507. 70–76. 6 indexed citations
10.
Prieto, Iván, Marco Mauceri, F. Mancarella, et al.. (2016). Stacking Fault Analysis of Epitaxial 3C-SiC on Si(001) Ridges. Materials science forum. 858. 147–150. 10 indexed citations
11.
Roccaforte, Fabrizio, Francesco La Via, Roberta Nipoti, et al.. (2016). Silicon Carbide and Related Materials 2015. Trans Tech Publications Ltd. eBooks. 3 indexed citations
12.
Mauceri, Marco, F. Mancarella, Francesco La Via, et al.. (2016). 3C-SiC Epitaxy on Deeply Patterned Si(111) Substrates. Materials science forum. 858. 151–154. 8 indexed citations
13.
Via, Francesco La, Nicolò Piluso, Patrick Fiorenza, et al.. (2015). Epitaxial Growth on 150 mm 2° off Wafers. Materials science forum. 821-823. 157–160. 1 indexed citations
14.
Via, Francesco La, et al.. (2009). Thick Epitaxial Layers Growth by Chlorine Addition. Materials science forum. 615-617. 55–60. 14 indexed citations
15.
Bertuccio, G., S. Caccia, F. Nava, et al.. (2009). Ultra Low Noise Epitaxial 4H-SiC X-Ray Detectors. Materials science forum. 615-617. 845–848. 16 indexed citations
16.
Masi, Maurizio, Alessandro Veneroni, Francesco La Via, et al.. (2007). Film Morphology and Process Conditions in Epitaxial Silicon Carbide Growth via Chlorides Route. Materials science forum. 556-557. 93–96. 6 indexed citations
17.
Via, Francesco La, G. Galvagno, Andrea Firrincieli, et al.. (2006). Optimisation of Epitaxial Layer Growth by Schottky Diodes Electrical Characterization. Materials science forum. 527-529. 199–202.
18.
Via, Francesco La, G. Galvagno, Andrea Firrincieli, et al.. (2006). Epitaxial Layers Grown with HCl Addition: A Comparison with the Standard Process. Materials science forum. 527-529. 163–166. 11 indexed citations
19.
Pirri, Candido Fabrizio, Sergio Ferrero, Luciano Scaltrito, et al.. (2005). In situ etch treatment of bulk surface for epitaxial layer growth optimization. Microelectronic Engineering. 83(1). 82–85. 2 indexed citations
20.
Crippa, Danilo, L. Neri, R. Reitano, et al.. (2005). New Achievements on CVD Based Methods for SiC Epitaxial Growth. Materials science forum. 483-485. 67–72. 47 indexed citations

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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