Davide Vurro

518 citations
25 papers · 386 · h-index 11

Impact in

Papers in

Davide Vurro

24 papers receiving 381 citations

Peers

Davide Vurro
Comparison fields: 5 of 69
  • Polymers and Plastics 121
  • Bioengineering 36
  • Biomaterials 66
  • Biomedical Engineering 197
  • Automotive Engineering 37
Replace Brenda G. Molina with:
Brenda G. Molina Spain
Sara Abasi United States
Bastien Marchiori France
Jonathan Pegan United States
Peikai Zhang New Zealand
John R. Aggas United States
William R. Small United Kingdom
Merum Sireesha Singapore
Hugo Campos Loureiro Brazil
Astrid Armgarth United Kingdom
Davide Vurro relative to Brenda G. Molina Spain Brenda G. Molina's profile →
Citations per field
00.5×1.5×2.3×
Brenda G. Molina · 1×
Citations per year

Countries citing papers authored by Davide Vurro

Since Specialization
Citations

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

Fields of papers citing papers by Davide Vurro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 202062
3 202454
4 201835
5 201720
6 202418
7 202118
8 202214
9 202013
10 202411
11 201911
12 20188
13 20246
14 20236
15 20236
16 20255
17 20215
18 20245
19 20244
20 20254

About Davide Vurro

Davide Vurro is a scholar working on Biomedical Engineering, Polymers and Plastics, Electrical and Electronic Engineering, Biomaterials and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 386 indexed citations. Recurring topics across this work include Conducting polymers and applications (11 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Silk-based biomaterials and applications (7 papers), Electrochemical sensors and biosensors (3 papers), Analytical Chemistry and Sensors (3 papers), Polymer Surface Interaction Studies (2 papers), Advanced Fiber Optic Sensors (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Polymers and Plastics (121 citations), Bioengineering (36 citations), Biomaterials (66 citations), Biomedical Engineering (197 citations) and Automotive Engineering (37 citations). Davide Vurro has collaborated with scholars based in Italy, Greece and China. Frequent co-authors include Pasquale D’Angelo, Giuseppe Tarabella, Salvatore Iannotta, Simone Luigi Marasso, Matteo Cocuzza, Vardan Galstyan, Luca Ascari, Stefano Lai, Benedetta Ghezzi and Edoardo Manfredi. Their work appears in journals such as Materials, Scientific Reports, Micro and Nano Engineering, IEEE Sensors Journal and Biosensors.

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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