A. Parretta

954 citations
69 papers · 755 · h-index 13

Impact in

Papers in

A. Parretta

65 papers receiving 657 citations

Peers

A. Parretta
Comparison fields: 5 of 63
  • Renewable Energy, Sustainability and the Environment 290
  • Electrical and Electronic Engineering 471
  • Materials Chemistry 210
  • Surfaces, Coatings and Films 30
  • Artificial Intelligence 101
Replace Carsten Schinke with:
Carsten Schinke Germany
Christopher E. Valdivia Canada
A. Mellor United Kingdom
Chunlei Sun China
Haipeng Zhang China
Carsten Dam‐Hansen Denmark
Simon P. Philipps Germany
H. Cotal United States
Marc Steiner Germany
Henning Helmers Germany
A. Parretta relative to Carsten Schinke Germany Carsten Schinke's profile →
Citations per field
00.5×1.5×2.4×
Carsten Schinke · 1×
Citations per year

Countries citing papers authored by A. Parretta

Since Specialization
Citations

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

Fields of papers citing papers by A. Parretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996128
2 199981
3 199880
4 200446
5 199832
6 200617
7 200916
8 199916
9 200714
10 200314
11 201013
12 200813
13 199112
14 200412
15 200712
16 201312
17 200112
18 200312
19 199412
20 199311

About A. Parretta

A. Parretta is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Artificial Intelligence, having authored 69 papers that have together received 755 indexed citations. Recurring topics across this work include solar cell performance optimization (41 papers), Photovoltaic System Optimization Techniques (24 papers), Solar Thermal and Photovoltaic Systems (23 papers), Chalcogenide Semiconductor Thin Films (8 papers), Silicon and Solar Cell Technologies (8 papers), Solar Radiation and Photovoltaics (6 papers), Thin-Film Transistor Technologies (6 papers) and Calibration and Measurement Techniques (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (290 citations), Electrical and Electronic Engineering (471 citations), Materials Chemistry (210 citations), Surfaces, Coatings and Films (30 citations) and Artificial Intelligence (101 citations). A. Parretta has collaborated with scholars based in Italy, Australia and France. Frequent co-authors include L. Quercia, S. Loreti, M. K. Jayaraj, L. Vicari, Andrea Antonini, P. Maddalena, Marco Stefancich, Jianhua Zhao, Aihua Wang and Giorgio Graditi. Their work appears in journals such as Optics Communications, Solar Energy Materials and Solar Cells, Applied Physics Letters, Progress in Photovoltaics Research and Applications and Journal of Experimental Biology.

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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