Giuseppe Massobrio

1.9k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 14
Topics
Analytical Chemistry and Sensors (19 papers)Neuroscience and Neural Engineering (12 papers)Electrochemical Analysis and Applications (9 papers)
Partner nations
Italy

In The Last Decade

Giuseppe Massobrio

28 papers receiving 1.3k citations

Hit Papers

Semiconductor Device Modeling with Spice19892026200120131989200400600

Peers

Giuseppe Massobrio
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 994
  • Bioengineering 472
  • Biomedical Engineering 311
  • Electrochemistry 223
  • Cellular and Molecular Neuroscience 206
Replace Ralf Brederlow with:
Ralf Brederlow Germany
Massimo Barbaro Italy
F. Widdershoven Netherlands
Francisco Serra-Graells Spain
G. Molas France
Kiichi Niitsu Japan
Taiyun Chi United States
P. Van Gerwen Belgium
Kyung-Hyun Kim South Korea
Seung Hwan Lee United States
Giuseppe Massobrio relative to Ralf Brederlow Germany Ralf Brederlow's profile →
Citations per field
00.5×4.0×
Ralf Brederlow · 1×
Citations per year

Countries citing papers authored by Giuseppe Massobrio

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Massobrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Massobrio

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Massobrio. A scholar is included among the top collaborators of Giuseppe Massobrio 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 Giuseppe Massobrio. Giuseppe Massobrio 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
#WorkIndexed citations
1 0
2 1
3 40
4 2
5 2
6 2
7 27
8 54
9 62
10 49
11 143
12 35
13
Development of an ISFET/CMNOS technology for H + -FET sensor-based microsystems.
1
14 7
15 5
16 18
17 6
18 13
19 14
20 8

About Giuseppe Massobrio

Giuseppe Massobrio is a scholar working on Bioengineering, Electrochemistry and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (19 papers), Neuroscience and Neural Engineering (12 papers) and Electrochemical Analysis and Applications (9 papers). The work is most often cited by research in Bioengineering (472 citations), Electrochemistry (223 citations) and Electrical and Electronic Engineering (994 citations). Giuseppe Massobrio has collaborated with scholars based in Italy. Frequent co-authors include P. Antognetti, Sérgio Martinoia, M. Grattarola, Paolo Massobrio, Leandro Lorenzelli, Marco Bove, A. Lui, Girolamo Mattioli, Giorgio Arnaldi and A. Massobrio. Their work appears in journals such as Nano Letters, IEEE Transactions on Biomedical Engineering and Sensors and Actuators B Chemical.

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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