R. Gusmeroli

814 total citations
33 papers, 622 citations indexed

About

R. Gusmeroli is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, R. Gusmeroli has authored 33 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in R. Gusmeroli's work include Semiconductor materials and devices (18 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers) and Advanced Memory and Neural Computing (12 papers). R. Gusmeroli is often cited by papers focused on Semiconductor materials and devices (18 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers) and Advanced Memory and Neural Computing (12 papers). R. Gusmeroli collaborates with scholars based in Italy, France and Switzerland. R. Gusmeroli's co-authors include Alessandro S. Spinelli, Christian Monzio Compagnoni, A. Visconti, Andrea L. Lacaita, M. Bonanomi, Silvia Beltrami, A. Ghetti, Andrea Bonfanti, Gytis Baranauskas and Guido Zambra and has published in prestigious journals such as Physical Review B, Journal of Physics Condensed Matter and IEEE Transactions on Electron Devices.

In The Last Decade

R. Gusmeroli

31 papers receiving 602 citations

Peers

R. Gusmeroli
Comparison fields: 5 of 40
  • Electrical and Electronic Engineering 443
  • Computer Networks and Communications 153
  • Cellular and Molecular Neuroscience 97
  • Cognitive Neuroscience 79
  • Materials Chemistry 75
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Citations per field, relative to R. Gusmeroli
R. Gusmeroli · 1×
Citations per year, relative to R. Gusmeroli
R. Gusmeroli · 1×

Countries citing papers authored by R. Gusmeroli

Since Specialization
Citations

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

Fields of papers citing papers by R. Gusmeroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Gusmeroli

This figure shows the co-authorship network connecting the top 25 collaborators of R. Gusmeroli. A scholar is included among the top collaborators of R. Gusmeroli 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 R. Gusmeroli. R. Gusmeroli 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
Cell-based biosensors: current trends of the development.
3
2 19
3 28
4 2
5 31
6 13
7 16
8 54
9 17
10 27
11 4
12 50
13 11
14 1
15 1
16 8
17 68
18 4
19 7
20 10

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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