Saverio De Vito

2.9k total citations
77 papers, 1.6k citations indexed

About

Saverio De Vito is a scholar working on Environmental Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Saverio De Vito has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Environmental Engineering, 37 papers in Biomedical Engineering and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Saverio De Vito's work include Air Quality Monitoring and Forecasting (38 papers), Advanced Chemical Sensor Technologies (35 papers) and Gas Sensing Nanomaterials and Sensors (19 papers). Saverio De Vito is often cited by papers focused on Air Quality Monitoring and Forecasting (38 papers), Advanced Chemical Sensor Technologies (35 papers) and Gas Sensing Nanomaterials and Sensors (19 papers). Saverio De Vito collaborates with scholars based in Italy, United States and Norway. Saverio De Vito's co-authors include Girolamo Di Francia, Ettore Massera, L. Martinotto, E. Esposito, M. Salvato, Grazia Fattoruso, Sergio Ferlito, Fabrizio Formisano, R. L. Jones and Olalekan Popoola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Sensors.

In The Last Decade

Saverio De Vito

76 papers receiving 1.6k citations

Peers

Saverio De Vito
Comparison fields: 5 of 118
  • Environmental Engineering 733
  • Biomedical Engineering 527
  • Electrical and Electronic Engineering 442
  • Health, Toxicology and Mutagenesis 424
  • Artificial Intelligence 282
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Hugo Valadares Siqueira Brazil View profile →
Citations per field, relative to Saverio De Vito
Saverio De Vito · 1×
Citations per year, relative to Saverio De Vito
Saverio De Vito · 1×

Countries citing papers authored by Saverio De Vito

Since Specialization
Citations

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

Fields of papers citing papers by Saverio De Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saverio De Vito. 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 Saverio De Vito. The network helps show where Saverio De Vito may publish in the future.

Co-authorship network of co-authors of Saverio De Vito

This figure shows the co-authorship network connecting the top 25 collaborators of Saverio De Vito. A scholar is included among the top collaborators of Saverio De Vito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saverio De Vito. Saverio De Vito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 6
3 1
4 6
5 1
6 6
7 10
8 3
9 2
10 13
11 5
12 8
13 91
14 23
15 133
16 62
17 15
18 3
19 8
20 89

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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