Alexander Stettler

1.2k total citations
17 papers, 813 citations indexed

About

Alexander Stettler is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Alexander Stettler has authored 17 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Alexander Stettler's work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (5 papers). Alexander Stettler is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (6 papers) and Neural dynamics and brain function (5 papers). Alexander Stettler collaborates with scholars based in Switzerland, Japan and Netherlands. Alexander Stettler's co-authors include Andreas Hierlemann, Yihui Chen, Amir Shadmani, Jan Müller, Vijay Viswam, Miloš Radivojević, Paolo Livi, Urs Frey, Marco Ballini and Michele Fiscella and has published in prestigious journals such as Nature Communications, Analytical Chemistry and IEEE Journal of Solid-State Circuits.

In The Last Decade

Alexander Stettler

17 papers receiving 793 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alexander Stettler Switzerland	10	515	361	308	252	113	17	813
Miloš Radivojević Switzerland	14	946 1.8×	447 1.2×	307 1.0×	589 2.3×	137 1.2×	22	1.2k
Christiane Thielemann Germany	17	288 0.6×	219 0.6×	305 1.0×	229 0.9×	71 0.6×	57	768
Yihui Chen Switzerland	13	553 1.1×	422 1.2×	380 1.2×	261 1.0×	92 0.8×	36	894
Jeffrey Abbott United States	10	464 0.9×	320 0.9×	352 1.1×	104 0.4×	176 1.6×	14	781
M. Merz Germany	6	424 0.8×	258 0.7×	204 0.7×	182 0.7×	39 0.3×	9	513
Paolo Livi Switzerland	10	462 0.9×	377 1.0×	264 0.9×	270 1.1×	79 0.7×	19	727
Amir Shadmani Switzerland	11	541 1.1×	376 1.0×	359 1.2×	266 1.1×	83 0.7×	15	799
Vijay Viswam Switzerland	11	698 1.4×	415 1.1×	324 1.1×	348 1.4×	70 0.6×	17	888
Aviad Hai United States	12	1.2k 2.3×	549 1.5×	537 1.7×	373 1.5×	203 1.8×	21	1.6k
Günter Wrobel Germany	11	283 0.5×	160 0.4×	234 0.8×	59 0.2×	85 0.8×	15	485

Countries citing papers authored by Alexander Stettler

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Stettler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Stettler

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Stettler. A scholar is included among the top collaborators of Alexander Stettler 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 Alexander Stettler. Alexander Stettler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Seichepine, Florent, et al.. (2018). Monolithic CMOS sensor platform featuring an array of 9’216 carbon-nanotube-sensor elements and low-noise, wide-bandwidth and wide-dynamic-range readout circuitry. Sensors and Actuators B Chemical. 279. 255–266. 13 indexed citations

Dragas, Jelena, Vijay Viswam, Amir Shadmani, et al.. (2017). <italic>In Vitro</italic> Multi-Functional Microelectrode Array Featuring 59 760 Electrodes, 2048 Electrophysiology Channels, Stimulation, Impedance Measurement, and Neurotransmitter Detection Channels. IEEE Journal of Solid-State Circuits. 52(6). 1576–1590. 157 indexed citations

Bullmann, Torsten, et al.. (2016). A microelectrode array with 8,640 electrodes enabling simultaneous full-frame readout at 6.5 kfps and 112-channel switch-matrix readout at 20 kS/s. 49. 1–2. 8 indexed citations

Viswam, Vijay, Jelena Dragas, Amir Shadmani, et al.. (2016). 22.8 Multi-functional microelectrode array system featuring 59,760 electrodes, 2048 electrophysiology channels, impedance and neurotransmitter measurement units. PubMed. 2016. 394–396. 32 indexed citations

Sorce, Barbara, Carlos Escobedo, Yusuke Toyoda, et al.. (2015). Mitotic cells contract actomyosin cortex and generate pressure to round against or escape epithelial confinement. Nature Communications. 6(1). 8872–8872. 69 indexed citations

Steinhoff, Robert, Daniel J. Karst, Fabian Steinebach, et al.. (2015). Microarray-based MALDI-TOF mass spectrometry enables monitoring of monoclonal antibody production in batch and perfusion cell cultures. Methods. 104. 33–40. 13 indexed citations

Livi, Paolo, Moria Kwiat, Amir Shadmani, et al.. (2015). Monolithic Integration of a Silicon Nanowire FET Array on a CMOS Chip for Bio-chemical Sensor Applications. 1 indexed citations

Müller, Jan, Marco Ballini, Paolo Livi, et al.. (2015). High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels. Lab on a Chip. 15(13). 2767–2780. 216 indexed citations

Livi, Paolo, Moria Kwiat, Amir Shadmani, et al.. (2015). Monolithic Integration of a Silicon Nanowire Field-Effect Transistors Array on a Complementary Metal-Oxide Semiconductor Chip for Biochemical Sensor Applications. Analytical Chemistry. 87(19). 9982–9990. 35 indexed citations

10.

Frey, Olivier, et al.. (2014). Fully Integrated CMOS Microsystem for Electrochemical Measurements on 32 × 32 Working Electrodes at 90 Frames Per Second. Analytical Chemistry. 86(13). 6425–6432. 63 indexed citations

11.

Ballini, Marco, Jan Müller, Paolo Livi, et al.. (2014). A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro. IEEE Journal of Solid-State Circuits. 49(11). 2705–2719. 176 indexed citations

12.

Stettler, Alexander, P. Buchmann, Jörg Rothe, Miloš Radivojević, & Andreas Hierlemann. (2014). Development of a Reliable Packaging for CMOS-based Microelectrode Arrays by Using an Automated Setup. Procedia Engineering. 87. 1402–1405. 1 indexed citations

13.

Ballini, Marco, Paolo Livi, Urs Frey, et al.. (2013). A 1024-channel CMOS microelectrode-array system with 26'400 electrodes for recording and stimulation of electro-active cells in-vitro. 9 indexed citations

14.

Livi, Paolo, Mathias Wipf, Alexey Tarasov, et al.. (2013). Silicon nanowire ion-sensitive field-effect transistor array integrated with a CMOS-based readout chip. DORA PSI (Paul Scherrer Institute). 1751–1754. 3 indexed citations

15.

Ballini, Marco, Paolo Livi, Amir Shadmani, et al.. (2013). Conferring flexibility and reconfigurability to a 26,400 microelectrode CMOS array for high throughput neural recordings. Repository for Publications and Research Data (ETH Zurich). 4 indexed citations

16.

Livi, Paolo, et al.. (2012). Monolithic system featuring a gold nanowire array on a CMOS chip for biosensing applications. DORA PSI (Paul Scherrer Institute). 1–4. 1 indexed citations

17.

Frey, Olivier, et al.. (2012). CMOS chip for electrochemical monitoring of the metabolic activity of biological cells. 1–4. 12 indexed citations

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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