R. Mosca

3.2k citations
120 papers · 2.8k indexed · 1 hit paper · h-index 24

R. Mosca

117 papers receiving 2.7k citations

Hit Papers

MAPbI3-xClx Mixed Halide Perovskite for Hybrid Solar Cell...7212013202620172021200400600

Peers

R. Mosca
Comparison fields: 5 of 97
  • Bioengineering 231
  • Electrical and Electronic Engineering 2.0k
  • Polymers and Plastics 460
  • Materials Chemistry 1.4k
  • Atomic and Molecular Physics, and Optics 524
Replace Konrad Colbow with:
Konrad Colbow Canada
Nhan V. Nguyen United States
Peter Stallinga Portugal
Edward T. Knobbe United States
Juan Du China
U. Breuer Germany
Xinglai Zhang China
Sha Jiang China
Takaò Itoh Japan
Wei Jin China
R. Mosca relative to Konrad Colbow Canada Konrad Colbow's profile →
Citations per field
00.5×3.8×
Konrad Colbow · 1×
Citations per year

Countries citing papers authored by R. Mosca

Since Specialization
Citations

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

Fields of papers citing papers by R. Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 202036
5 201623
6 201619
7 201621
8 201410
9 201342
10 201353
11 201227
12 201128
13 200838
14 20077
15 200215
16 19962
17 19945
18 19941
19 19939
20 19911

About R. Mosca

R. Mosca is a scholar working on Atomic and Molecular Physics, and Optics, Bioengineering, Electrical and Electronic Engineering, Radiation and Materials Chemistry, having authored 120 papers that have together received 2.8k indexed citations. Recurring topics across this work include Semiconductor materials and interfaces (43 papers), Semiconductor Quantum Structures and Devices (41 papers), Semiconductor materials and devices (35 papers), Quantum Dots Synthesis And Properties (16 papers), Advanced Semiconductor Detectors and Materials (15 papers), Silicon and Solar Cell Technologies (13 papers), ZnO doping and properties (12 papers) and Gas Sensing Nanomaterials and Sensors (11 papers). The work is most often cited by research in Bioengineering (231 citations), Electrical and Electronic Engineering (2.0k citations), Polymers and Plastics (460 citations), Materials Chemistry (1.4k citations) and Atomic and Molecular Physics, and Optics (524 citations). R. Mosca has collaborated with scholars based in Italy, Hungary and Greece. Frequent co-authors include Davide Calestani, A. Zappettini, E. Gombia, Patrizia Ferro, T. Besagni, Paolo Fedeli, G. Calestani, Andrea Listorti, Giuseppe Gigli and Aurora Rizzo. Their work appears in journals such as Journal of Applied Physics, Materials Science and Engineering B, Applied Surface Science, Applied Physics Letters and Nanotechnology.

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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