Jan Stuijt

442 total citations
21 papers, 293 citations indexed

About

Jan Stuijt is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jan Stuijt has authored 21 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Jan Stuijt's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Low-power high-performance VLSI design (5 papers). Jan Stuijt is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Low-power high-performance VLSI design (5 papers). Jan Stuijt collaborates with scholars based in Netherlands, Belgium and Switzerland. Jan Stuijt's co-authors include Federico Corradi, Manolis Sifalakis, Amirreza Yousefzadeh, Francky Catthoor, Tobias Gemmeke, Siebren Schaafsma, Maryam Ashouei, Giacomo Indiveri, Ning Qiao and Sandeep Dwarkanath Pande and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Frontiers in Neuroscience and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Jan Stuijt

21 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Stuijt Netherlands 10 246 81 65 57 54 21 293
Stefan Scholze Germany 12 345 1.4× 166 2.0× 143 2.2× 83 1.5× 46 0.9× 32 416
Bernhard Vogginger Germany 11 232 0.9× 68 0.8× 110 1.7× 98 1.7× 33 0.6× 36 297
Enyi Yao China 9 153 0.6× 65 0.8× 75 1.2× 88 1.5× 39 0.7× 30 252
Adam Osseiran Australia 11 165 0.7× 58 0.7× 53 0.8× 56 1.0× 86 1.6× 27 356
Rodolphe Héliot France 11 281 1.1× 196 2.4× 185 2.8× 54 0.9× 110 2.0× 29 444
Dimitrios Rodopoulos Greece 9 187 0.8× 21 0.3× 52 0.8× 44 0.8× 49 0.9× 34 326
Dennis Walter Germany 11 255 1.0× 45 0.6× 42 0.6× 25 0.4× 63 1.2× 25 332
Siebren Schaafsma Netherlands 8 258 1.0× 79 1.0× 83 1.3× 68 1.2× 18 0.3× 9 304
Renyuan Zhang Japan 9 241 1.0× 24 0.3× 42 0.6× 116 2.0× 77 1.4× 72 311
Vishwa Goudar United States 9 91 0.4× 64 0.8× 194 3.0× 52 0.9× 50 0.9× 22 336

Countries citing papers authored by Jan Stuijt

Since Specialization
Citations

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

Fields of papers citing papers by Jan Stuijt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Stuijt

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Stuijt. A scholar is included among the top collaborators of Jan Stuijt 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 Jan Stuijt. Jan Stuijt 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.
Balaji, Adarsha, et al.. (2022). Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1011–1016. 14 indexed citations
2.
Yousefzadeh, Amirreza, et al.. (2022). Energy-efficient In-Memory Address Calculation. ACM Transactions on Architecture and Code Optimization. 19(4). 1–16. 4 indexed citations
3.
He, Yuming, Federico Corradi, Jan Stuijt, et al.. (2022). An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves. IEEE Journal of Solid-State Circuits. 57(10). 3058–3070. 41 indexed citations
4.
Yousefzadeh, Amirreza, et al.. (2022). SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. 371–374. 12 indexed citations
5.
Stuijt, Jan, Manolis Sifalakis, Amirreza Yousefzadeh, & Federico Corradi. (2021). μBrain: An Event-Driven and Fully Synthesizable Architecture for Spiking Neural Networks. Frontiers in Neuroscience. 15. 664208–664208. 62 indexed citations
6.
7.
Corradi, Federico, Sandeep Dwarkanath Pande, Jan Stuijt, et al.. (2019). ECG-based Heartbeat Classification in Neuromorphic Hardware. 1–8. 40 indexed citations
8.
Stuijt, Jan, et al.. (2018). Synthesizable Memory Arrays Based on Logic Gates for Subthreshold Operation in IoT. IEEE Transactions on Circuits and Systems I Regular Papers. 66(3). 941–954. 19 indexed citations
9.
Degraeve, R., A. Mallik, Daniele Garbin, et al.. (2018). Opportunities and Challenges of Resistive RAM for Neuromorphic Applications. 2018. 1–5. 2 indexed citations
10.
Smout, Steve, et al.. (2018). 1cm2 sub-1V Capacitive-Coupled Thin Film ID-Tag using Metal-oxide TFTs on Flexible Substrate. Zenodo (CERN European Organization for Nuclear Research). 1–2. 1 indexed citations
11.
Verkest, Diederik, Dimitrios Rodopoulos, Bram-Ernst Verhoef, et al.. (2018). Using (emerging) memories for machine learning hardware. 1 indexed citations
12.
Stuijt, Jan, et al.. (2017). Re-addressing SRAM design and measurement for sub-threshold operation in view of classic 6T vs. standard cell based implementations. Data Archiving and Networked Services (DANS). 59. 65–70. 3 indexed citations
13.
Mallik, A., Daniele Garbin, A. Fantini, et al.. (2017). Design-technology co-optimization for OxRRAM-based synaptic processing unit. T178–T179. 23 indexed citations
14.
Gemmeke, Tobias, Mohamed M. Sabry, Jan Stuijt, et al.. (2014). Resolving the memory bottleneck for single supply near-threshold computing. Design, Automation, and Test in Europe. 1(1). 202. 8 indexed citations
15.
Mamaghanian, Hossein, Andrea Bartolini, Maryam Ashouei, et al.. (2014). Approximate compressed sensing. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 45–50. 24 indexed citations
16.
Gemmeke, Tobias, Mohamed M. Sabry, Jan Stuijt, et al.. (2014). Resolving the memory bottleneck for single supply near-threshold computing. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–6. 5 indexed citations
17.
Gemmeke, Tobias, Mohamed M. Sabry, Jan Stuijt, et al.. (2014). Resolving the memory bottleneck for single supply near-threshold computing. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–6. 1 indexed citations
18.
Zhou, Jun, et al.. (2011). A 36μW heartbeat-detection processor for a wireless sensor node. ACM Transactions on Design Automation of Electronic Systems. 16(4). 1–19. 4 indexed citations
19.
Stuijt, Jan, et al.. (2010). Energy efficient computation with self-adaptive single-ended body bias. 1. 326–329. 1 indexed citations
20.
Ashouei, Maryam, et al.. (2010). Novel wide voltage range level shifter for near-threshold designs. 17. 285–288. 16 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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