G. Pavia

799 citations
46 papers · 658 indexed · h-index 12

G. Pavia

46 papers receiving 635 citations

Peers

G. Pavia
Comparison fields: 5 of 44
  • Structural Biology 44
  • Electrical and Electronic Engineering 495
  • Materials Chemistry 358
  • Surfaces, Coatings and Films 45
  • Electronic, Optical and Magnetic Materials 89
Replace Takaomi Matsutani with:
Takaomi Matsutani Japan
E. Vicario France
M. Kaiser Netherlands
Emi Kano Japan
Qichen Song United States
D. Buttard France
S. Berkebile Austria
G. S. Svechnikov Ukraine
J. D’Arcy-Gall United States
Y. Yabuuchi Japan
G. Pavia relative to Takaomi Matsutani Japan Takaomi Matsutani's profile →
Citations per field
00.5×1.5×1.8×
Takaomi Matsutani · 1×
Citations per year

Countries citing papers authored by G. Pavia

Since Specialization
Citations

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

Fields of papers citing papers by G. Pavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20154
2 200847
3 200725
4 2006161
5 200613
6 20068
7 20064
8 20069
9 20066
10 20044
11 200311
12 20037
13
Defect generation and suppression in device processes using a shallow trench isolation scheme
20031
14 20022
15 20021
16 20027
17 20018
18 20012
19 19992
20 19981

About G. Pavia

G. Pavia is a scholar working on Structural Biology, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 46 papers that have together received 658 indexed citations. Recurring topics across this work include Semiconductor materials and devices (23 papers), Integrated Circuits and Semiconductor Failure Analysis (15 papers), Semiconductor materials and interfaces (10 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Silicon and Solar Cell Technologies (8 papers), Electronic and Structural Properties of Oxides (8 papers), Advanced Electron Microscopy Techniques and Applications (8 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Structural Biology (44 citations), Electrical and Electronic Engineering (495 citations), Materials Chemistry (358 citations), Surfaces, Coatings and Films (45 citations) and Electronic, Optical and Magnetic Materials (89 citations). G. Pavia has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include M. Fanciulli, Claudia Wiemer, G. Scarel, Simon D. Elliott, S. Ferrari, Luca Lutterotti, A. Armigliato, R. Balboni, Stefano Frabboni and Sabina Spiga. Their work appears in journals such as Applied Physics Letters, Journal of The Electrochemical Society, Microelectronic Engineering, Microscopy and Microanalysis and Journal of Applied Physics.

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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