S. Taschini

556 citations
25 papers · 460 · h-index 10

Impact in

Papers in

S. Taschini

24 papers receiving 438 citations

Peers

S. Taschini
Comparison fields: 5 of 61
  • Bioengineering 203
  • Cellular and Molecular Neuroscience 133
  • Biomedical Engineering 266
  • Electrical and Electronic Engineering 311
  • Electrochemistry 20
Replace K.‐U. Kirstein with:
K.‐U. Kirstein Switzerland
Reza Navid United States
Douglas Jackson United States
Hoël Guérin Switzerland
Arun Manickam United States
Krishna Jayant United States
Cristian Ravariu Romania
Meisam Honarvar Nazari United States
Dimitris Tsoukalas Greece
Chang Auck Choi South Korea
S. Taschini relative to K.‐U. Kirstein Switzerland K.‐U. Kirstein's profile →
Citations per field
00.5×1.5×
K.‐U. Kirstein · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 200471
3 200648
4 200732
5 200427
6 200627
7 200422
8 199913
9 200810
10 200410
11 20048
12 20047
13 20046
14 19995
15 20035
16 20025
17 20084
18 20002
19 19992
20 20042

About S. Taschini

S. Taschini is a scholar working on Electrical and Electronic Engineering, Bioengineering, Biomedical Engineering, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 460 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (12 papers), Analytical Chemistry and Sensors (12 papers), Advanced Chemical Sensor Technologies (8 papers), Advanced MEMS and NEMS Technologies (4 papers), Sensor Technology and Measurement Systems (3 papers), Neuroscience and Neural Engineering (3 papers), Advanced Memory and Neural Computing (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Bioengineering (203 citations), Cellular and Molecular Neuroscience (133 citations), Biomedical Engineering (266 citations), Electrical and Electronic Engineering (311 citations) and Electrochemistry (20 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, F J de Heer, W. Franks, Axel Blau, Christiane Ziegler and Urs Frey. Their work appears in journals such as Analytical Chemistry, Biosensors and Bioelectronics, Software Practice and Experience, Physical review. B, Condensed matter and IEEE Journal of Solid-State Circuits.

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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