Philipp Schönle

776 total citations
20 papers, 513 citations indexed

About

Philipp Schönle is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philipp Schönle has authored 20 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philipp Schönle's work include Neuroscience and Neural Engineering (7 papers), Analog and Mixed-Signal Circuit Design (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Philipp Schönle is often cited by papers focused on Neuroscience and Neural Engineering (7 papers), Analog and Mixed-Signal Circuit Design (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Philipp Schönle collaborates with scholars based in Switzerland, Italy and Canada. Philipp Schönle's co-authors include Qiuting Huang, Thomas Burger, Luca Benini, Schekeb Fateh, Simone Benatti, Bojan Milosevic, Filippo Casamassima, Elisabetta Farella, Florian Glaser and Stéphanie P. Lacour and has published in prestigious journals such as Nature Biotechnology, IEEE Journal of Solid-State Circuits and Journal of Hypertension.

In The Last Decade

Philipp Schönle

19 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Schönle Switzerland 10 360 172 157 132 67 20 513
Shao-Wei Lu Taiwan 12 146 0.4× 91 0.5× 122 0.8× 362 2.7× 116 1.7× 30 617
Victor Kartsch Italy 10 199 0.6× 108 0.6× 77 0.5× 191 1.4× 87 1.3× 27 428
Amin Mahnam Iran 15 203 0.6× 111 0.6× 140 0.9× 227 1.7× 68 1.0× 37 492
Chisung Bae South Korea 10 291 0.8× 357 2.1× 55 0.4× 109 0.8× 21 0.3× 25 599
Koichi Tanno Japan 13 296 0.8× 236 1.4× 26 0.2× 136 1.0× 94 1.4× 105 574
Vignesh Ravichandran United States 10 172 0.5× 449 2.6× 273 1.7× 151 1.1× 12 0.2× 18 676
Tie Liang China 9 268 0.7× 87 0.5× 62 0.4× 159 1.2× 43 0.6× 25 401
John W. Kelly United States 9 129 0.4× 111 0.6× 306 1.9× 426 3.2× 60 0.9× 14 517
Nan Bu Japan 13 418 1.2× 47 0.3× 99 0.6× 248 1.9× 110 1.6× 48 613
An H. United States 15 244 0.7× 136 0.8× 293 1.9× 356 2.7× 37 0.6× 41 527

Countries citing papers authored by Philipp Schönle

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schönle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schönle

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Schönle. A scholar is included among the top collaborators of Philipp Schönle 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 Philipp Schönle. Philipp Schönle 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
1.
Burger, Thomas, et al.. (2021). A Power-Efficient Fractional-N DPLL With Phase Error Quantized in Fully Differential-Voltage Domain. IEEE Journal of Solid-State Circuits. 56(4). 1254–1264. 19 indexed citations
2.
Seehus, Corey R., Philipp Schönle, Daniel G. Taub, et al.. (2020). Epineural optogenetic activation of nociceptors initiates and amplifies inflammation. Nature Biotechnology. 39(2). 179–185. 61 indexed citations
3.
4.
Schiavone, Giuseppe, Florian Fallegger, Philipp Schönle, Qiuting Huang, & Stéphanie P. Lacour. (2019). Microfabricated bioelectronic systems for prevention, diagnostics and treatment of neurological disorders. 10.2.1–10.2.4. 5 indexed citations
5.
6.
Schönle, Philipp, et al.. (2018). A Multi-Sensor and Parallel Processing SoC for Miniaturized Medical Instrumentation. IEEE Journal of Solid-State Circuits. 53(7). 2076–2087. 73 indexed citations
7.
Schönle, Philipp, Schekeb Fateh, Thomas Burger, & Qiuting Huang. (2017). A power-efficient multi-channel PPG ASIC with 112dB receiver DR for pulse oximetry and NIRS. 1–4. 18 indexed citations
8.
Schönle, Philipp, Florian Glaser, Thomas Burger, et al.. (2017). A multi-sensor and parallel processing SoC for wearable and implantable telemetry systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 215–218. 14 indexed citations
9.
Schönle, Philipp, et al.. (2017). A wide tuning-range ADFLL for mW-SoCs with dithering-enhanced accuracy in 65 nm CMOS. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–4. 7 indexed citations
10.
Benatti, Simone, Elisabetta Farella, Philipp Schönle, et al.. (2017). A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 139–144. 28 indexed citations
11.
Glaser, Florian, Philipp Schönle, Thomas Burger, et al.. (2017). Towards a Mobile Health Platform with Parallel Processing and Multi-sensor Capabilities. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 462–469. 1 indexed citations
12.
13.
Schönle, Philipp, et al.. (2016). A wireless system with stimulation and recording capabilities for interfacing peripheral nerves in rodents. PubMed. 2016. 4439–4442. 8 indexed citations
14.
Benatti, Simone, Filippo Casamassima, Bojan Milosevic, et al.. (2015). A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition. IEEE Transactions on Biomedical Circuits and Systems. 9(5). 620–630. 152 indexed citations
15.
Mack, D., et al.. (2015). An EOG-based, head-mounted eye tracker with 1 kHz sampling rate. 1–4. 5 indexed citations
16.
Fateh, Schekeb, et al.. (2015). A Reconfigurable 5-to-14 bit SAR ADC for Battery-Powered Medical Instrumentation. IEEE Transactions on Circuits and Systems I Regular Papers. 62(11). 2685–2694. 46 indexed citations
17.
Schönle, Philipp, et al.. (2014). Modular multi-sensor platform for portable and wireless medical instrumentation. 165–168. 2 indexed citations
18.
Benatti, Simone, Bojan Milosevic, Filippo Casamassima, et al.. (2014). EMG-based hand gesture recognition with flexible analog front end. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 57–60. 36 indexed citations
19.
Schönle, Philipp, et al.. (2013). A DC-connectable multi-channel biomedical data acquisition ASIC with mains frequency cancellation. 149–152. 26 indexed citations
20.
Schönle, Philipp, et al.. (2011). Simulations of a Dielectric Slot Tip for Scanning Near-Field Microwave Microscope. Journal of Computational and Theoretical Nanoscience. 8(8). 1556–1563. 1 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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