S. Taschini

556 citations
24 papers · 422 · h-index 10

Impact in

Papers in

S. Taschini

23 papers receiving 408 citations

Peers

S. Taschini
Comparison fields: 5 of 61
  • Bioengineering 184
  • Cellular and Molecular Neuroscience 124
  • Biomedical Engineering 248
  • Electrical and Electronic Engineering 281
  • Electrochemistry 18
Replace Reza Navid with:
Reza Navid United States
K.‐U. Kirstein Switzerland
K. Michelakis United Kingdom
Arun Manickam United States
Hoël Guérin Switzerland
Meisam Honarvar Nazari United States
Dimitris Tsoukalas Greece
Sara S. Ghoreishizadeh United Kingdom
Chang Auck Choi South Korea
Cristian Ravariu Romania
S. Taschini relative to Reza Navid United States Reza Navid's profile →
Citations per field
00.5×2.7×
Reza Navid · 1×
Citations per year

Countries citing papers authored by S. Taschini

Since Specialization
Citations

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

Fields of papers citing papers by S. Taschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside S. Taschini, 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 S. Taschini Line = papers co-authored together S. Taschini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004134
2 200467
3 200644
4 200732
5 200624
6 200423
7 200420
8 199913
9 20049
10 20089
11 20047
12 20046
13 20035
14 20025
15 20045
16 19995
17 20084
18 20002
19 19992
20 20042

About S. Taschini

S. Taschini is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Bioengineering, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (11 papers), Analytical Chemistry and Sensors (11 papers), Advanced Chemical Sensor Technologies (8 papers), Advanced MEMS and NEMS Technologies (4 papers), Neuroscience and Neural Engineering (3 papers), Sensor Technology and Measurement Systems (3 papers), Acoustic Wave Resonator Technologies (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Bioengineering (184 citations), Cellular and Molecular Neuroscience (124 citations), Biomedical Engineering (248 citations), Electrical and Electronic Engineering (281 citations) and Electrochemistry (18 citations). S. Taschini has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andreas Hierlemann, M. Gräf, H. Baltes, Christoph Hagleitner, Diego Barrettino, W. Franks, F J de Heer, Christiane Ziegler, Axel Blau and Urs Frey. Their work appears in journals such as Analytical Chemistry, Computer Modeling in Engineering & Sciences, Software Practice and Experience, IEEE Journal of Solid-State Circuits and IEEE Sensors Journal.

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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