G. Pavia

803 citations
46 papers · 665 · h-index 12

Impact in

Papers in

G. Pavia

46 papers receiving 643 citations

Peers

G. Pavia
Comparison fields: 5 of 44
  • Structural Biology 44
  • Electrical and Electronic Engineering 498
  • Materials Chemistry 362
  • Surfaces, Coatings and Films 45
  • Electronic, Optical and Magnetic Materials 90
Replace E. Vicario with:
E. Vicario France
Qichen Song United States
D. Buttard France
Takaomi Matsutani Japan
M. Kaiser Netherlands
Emi Kano Japan
J. D’Arcy-Gall United States
G. S. Svechnikov Ukraine
L. Gignac United States
Tobias Meyer Germany
G. Pavia relative to E. Vicario France E. Vicario's profile →
Citations per field
00.5×3.5×
E. Vicario · 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-authors

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

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 200375
3 200850
4 200347
5 200742
6 200725
7 200024
8 200220
9 199915
10 200914
11 200613
12 199812
13 201211
14 200311
15 200211
16 200611
17 20069
18 20119
19 20068
20 20078

About G. Pavia

G. Pavia is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films and Structural Biology, having authored 46 papers that have together received 665 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), Advanced Electron Microscopy Techniques and Applications (8 papers), Electronic and Structural Properties of Oxides (8 papers), Silicon and Solar Cell Technologies (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 (498 citations), Materials Chemistry (362 citations), Surfaces, Coatings and Films (45 citations) and Electronic, Optical and Magnetic Materials (90 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, Journal of Applied Physics and Thin Solid Films.

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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