Leonardo Setti

3.7k citations
59 papers · 2.1k indexed · h-index 26

Leonardo Setti

55 papers receiving 2.1k citations

Peers

Leonardo Setti
Comparison fields: 5 of 137
  • Modeling and Simulation 221
  • Health, Toxicology and Mutagenesis 343
  • Pollution 198
  • Global and Planetary Change 340
  • Biotechnology 139
Replace Eric P. Vejerano with:
Eric P. Vejerano United States
S. Suresh India
Susana Silva Martínez Mexico
Kang Mao China
Josje H.E. Arts Netherlands
Chedly Tizaoui United Kingdom
Susheel K. Mittal India
Alexis Debut Ecuador
Asif Shahzad South Korea
José Roberto Guimarães Brazil
Leonardo Setti relative to Eric P. Vejerano United States Eric P. Vejerano's profile →
Citations per field
00.5×10×13.9×
Eric P. Vejerano · 1×
Citations per year

Countries citing papers authored by Leonardo Setti

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Setti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 2020171
4 2020365
5 201750
6
Piano d'Azione dell'Energia Sostenibile del Comune di Malalbergo
20170
7 201611
8 20161
9 20156
10 201523
11 20115
12 20117
13 200712
14 20071
15 200767
16 2004168
17 199862
18 199523
19 199313
20 199228

About Leonardo Setti

Leonardo Setti is a scholar working on General Energy, Polymers and Plastics, Modeling and Simulation, Analytical Chemistry and Pollution, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (9 papers), Organic Electronics and Photovoltaics (9 papers), Conducting polymers and applications (9 papers), Microbial bioremediation and biosurfactants (5 papers), Enzyme Catalysis and Immobilization (4 papers), Microbial Fuel Cells and Bioremediation (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and COVID-19 impact on air quality (3 papers). The work is most often cited by research in Modeling and Simulation (221 citations), Health, Toxicology and Mutagenesis (343 citations), Pollution (198 citations), Global and Planetary Change (340 citations) and Biotechnology (139 citations). Leonardo Setti has collaborated with scholars based in Italy, Spain and Romania. Frequent co-authors include Pier Giorgio Pifferi, Alessandro Fraleoni‐Morgera, Gaetano Lanzarini, Barbara Ballarin, Fabrizio Passarini, Pierluigi Barbieri, Alessandro Miani, Prisco Piscitelli, Gianluigi de Gennaro and Carlo Piana. Their work appears in journals such as Biotechnology Letters, Enzyme and Microbial Technology, Journal of Chemical Technology & Biotechnology, Organic Electronics and Canadian Journal of Microbiology.

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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