‪Carlo Bertinetto‬

523 citations
28 papers · 395 indexed · h-index 12

Impact in

Papers in

‪Carlo Bertinetto‬

27 papers receiving 390 citations

Peers

‪Carlo Bertinetto‬
Comparison fields: 5 of 111
  • Biophysics 50
  • Analytical Chemistry 83
  • Biomaterials 50
  • Industrial and Manufacturing Engineering 24
  • Computational Theory and Mathematics 41
Replace Bernardeta Dębska with:
Bernardeta Dębska Poland
Xu Yan China
Bing Xu China
Dörte Solle Germany
Huanhuan Li China
Gerard G. Dumancas United States
Daitaro Ishikawa Japan
Michal Dabros Switzerland
Waltraud Kessler Germany
Ana Patrícia Ferreira United Kingdom
‪Carlo Bertinetto‬ relative to Bernardeta Dębska Poland Bernardeta Dębska's profile →
Citations per field
00.5×
Bernardeta Dębska · 1×
Citations per year

Countries citing papers authored by ‪Carlo Bertinetto‬

Since Specialization
Citations

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

Fields of papers citing papers by ‪Carlo Bertinetto‬

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20231
4 20220
5 20228
6 202217
7 20227
8 20218
9 2020101
10 202017
11 202010
12 201920
13 20185
14 201716
15 201611
16 201437
17
Modeling of the Acute Toxicity of Benzene Derivatives by Complementary QSAR Methods
20136
18 20107
19 20091
20 200811

About ‪Carlo Bertinetto‬

‪Carlo Bertinetto‬ is a scholar working on Biophysics, Analytical Chemistry, Industrial and Manufacturing Engineering, Sensory Systems and Computational Theory and Mathematics, having authored 28 papers that have together received 395 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (9 papers), Computational Drug Discovery Methods (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Machine Learning in Materials Science (4 papers), Advanced Chemical Sensor Technologies (4 papers), Water Quality Monitoring and Analysis (4 papers), Lignin and Wood Chemistry (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Biophysics (50 citations), Analytical Chemistry (83 citations), Biomaterials (50 citations), Industrial and Manufacturing Engineering (24 citations) and Computational Theory and Mathematics (41 citations) ‪Carlo Bertinetto‬ has collaborated with scholars based in Netherlands, Finland and Italy. Frequent co-authors include Tapani Vuorinen, Jeroen J. Jansen, Jasper Engel, Roberto Solaro, Maria Rosaria Tinè, Celia Duce, Alessio Micheli, Jeroen J. Jansen, Antonina Starita and Mehedi Reza. Their work appears in journals such as Scientific Reports, Journal of Chemometrics, Chemometrics and Intelligent Laboratory Systems, Computers in Industry and Food Research International.

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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