Severin Sidler

3.4k citations
11 papers · 2.6k · 3 hit papers · h-index 9

Impact in

Papers in

Severin Sidler

11 papers receiving 2.6k citations

Severin Sidler's Hit Papers

Equivalent-accuracy accelerated neural-network training using analogue memory 2018 · 770 citations
7700+3+7Years since publication250500750

Peers

Severin Sidler
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 837
  • Electrical and Electronic Engineering 2.5k
  • Polymers and Plastics 301
  • Cognitive Neuroscience 385
  • Artificial Intelligence 611
Replace Noraica Dávila with:
Noraica Dávila United States
Tomáš Tůma Switzerland
Teng Zhang China
Farshad Merrikh‐Bayat Iran
Junwoo Jang South Korea
Christian Gamrat France
Kibong Moon South Korea
S. R. Nandakumar United States
Olivier Bichler France
Peng Huang China
Severin Sidler relative to Noraica Dávila United States Noraica Dávila's profile →
Citations per field
00.5×2.7×
Noraica Dávila · 1×
Citations per year

Countries citing papers authored by Severin Sidler

Since Specialization
Citations

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

Fields of papers citing papers by Severin Sidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Severin Sidler, 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 Severin Sidler Line = papers co-authored together Severin Sidler links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Neuromorphic computing using non-volatile memory
Hit paper breakdown →
2016818
2
Equivalent-accuracy accelerated neural-network training using analogue memory
Hit paper breakdown →
2018770
3
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
Hit paper breakdown →
2015741
4 2015124
5 201761
6 201636
7 201722
8 201622
9 201710
10 20177
11
PCM for Neuromorphic Applications: Impact of Device Characteristics on Neural Network Performance
20151

About Severin Sidler

Severin Sidler is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 11 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Machine Learning and ELM (2 papers), Phase-change materials and chalcogenides (1 paper) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (837 citations), Electrical and Electronic Engineering (2.5k citations), Polymers and Plastics (301 citations), Cognitive Neuroscience (385 citations) and Artificial Intelligence (611 citations). Severin Sidler has collaborated with scholars based in Switzerland, United States and South Korea. Frequent co-authors include Geoffrey W. Burr, R. M. Shelby, Pritish Narayanan, Irem Boybat, Carmelo di Nolfo, Hyunsang Hwang, Kumar Virwani, Junwoo Jang, Yusuf Leblebici and Alessandro Fumarola. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Nature, IEEE Transactions on Electron Devices, IEEE Transactions on Circuits & Systems II Express Briefs and Advances in Physics X.

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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