Michael Schaffner

673 total citations
27 papers, 379 citations indexed

About

Michael Schaffner is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Michael Schaffner has authored 27 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 10 papers in Signal Processing. Recurrent topics in Michael Schaffner's work include Advanced Vision and Imaging (10 papers), Video Coding and Compression Technologies (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Michael Schaffner is often cited by papers focused on Advanced Vision and Imaging (10 papers), Video Coding and Compression Technologies (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Michael Schaffner collaborates with scholars based in Switzerland, Italy and United States. Michael Schaffner's co-authors include Luca Benini, Frank K. Gürkaynak, Fabian Schuiki, Florian Zaruba, Matheus Cavalcante, Aljoša Smolić, Michael Gautschi, Hubert Kaeslin, Michele Magno and Lukas Cavigelli and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Experimental Psychology General and IEEE Journal of Solid-State Circuits.

In The Last Decade

Michael Schaffner

27 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Schaffner Switzerland 11 186 143 97 78 63 27 379
Yu-Ming Chang Taiwan 14 113 0.6× 167 1.2× 49 0.5× 320 4.1× 132 2.1× 49 596
Rick Weber United States 4 33 0.2× 154 1.1× 53 0.5× 129 1.7× 27 0.4× 9 292
Klaus Kofler Austria 6 57 0.3× 83 0.6× 101 1.0× 82 1.1× 72 1.1× 9 264
Zhan Yu China 11 133 0.7× 42 0.3× 72 0.7× 31 0.4× 24 0.4× 63 323
Hao Liang China 8 201 1.1× 97 0.7× 164 1.7× 38 0.5× 89 1.4× 36 425
Cristóbal A. Navarro Chile 7 23 0.1× 42 0.3× 62 0.6× 58 0.7× 49 0.8× 24 238
A. Bystrov United Kingdom 13 348 1.9× 326 2.3× 44 0.5× 131 1.7× 124 2.0× 66 592
Lionel Lacassagne France 11 75 0.4× 41 0.3× 177 1.8× 29 0.4× 23 0.4× 53 305
Yue Jiang China 10 109 0.6× 16 0.1× 113 1.2× 28 0.4× 35 0.6× 48 312
Dana Schaa United States 11 171 0.9× 555 3.9× 82 0.8× 509 6.5× 70 1.1× 22 739

Countries citing papers authored by Michael Schaffner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schaffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schaffner

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schaffner. A scholar is included among the top collaborators of Michael Schaffner 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 Michael Schaffner. Michael Schaffner 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.
Schaffner, Michael, et al.. (2022). SYNFI: Pre-Silicon Fault Analysis of an Open-Source Secure Element. IACR Transactions on Cryptographic Hardware and Embedded Systems. 56–87. 7 indexed citations
2.
Schaffner, Michael, et al.. (2021). When the eyes have it and when not: How multiple sources of activation combine to guide eye movements during multiattribute decision making.. Journal of Experimental Psychology General. 151(6). 1394–1418. 2 indexed citations
3.
Cavalcante, Matheus, Fabian Schuiki, Florian Zaruba, Michael Schaffner, & Luca Benini. (2020). Ara: A 1-GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multiprecision Floating-Point Support in 22-nm FD-SOI. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 71 indexed citations
4.
Schuiki, Fabian, Michael Schaffner, Frank K. Gürkaynak, & Luca Benini. (2019). A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 56 indexed citations
5.
Schuiki, Fabian, Michael Schaffner, & Luca Benini. (2019). NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22 nm FD-SOI. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 662–667. 7 indexed citations
6.
Jost, Michael, Michael Schaffner, Michele Magno, et al.. (2018). An accurate system for optimal state estimation of a levitated nanoparticle. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
7.
Jost, Michael, Michael Schaffner, Michele Magno, et al.. (2018). FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles. IEEE Transactions on Instrumentation and Measurement. 68(7). 2374–2386. 12 indexed citations
8.
Malossi, A. Cristiano I., Michael Schaffner, Anca Molnos, et al.. (2018). The transprecision computing paradigm: Concept, design, and applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1105–1110. 45 indexed citations
9.
Schaffner, Michael, et al.. (2017). StoneNode: A low-power sensor device for induced rockfall experiments. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 12 indexed citations
10.
Caviezel, Andrin, Michael Schaffner, Lukas Cavigelli, et al.. (2017). Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. IEEE Transactions on Instrumentation and Measurement. 67(4). 767–779. 27 indexed citations
11.
Schaffner, Michael, Michael Gautschi, Frank K. Gürkaynak, & Luca Benini. (2016). Accuracy and Performance Trade-Offs of Logarithmic Number Units in Multi-Core Clusters. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4. 95–103. 3 indexed citations
12.
Gautschi, Michael, Michael Schaffner, Frank K. Gürkaynak, & Luca Benini. (2016). 4.6 A 65nm CMOS 6.4-to-29.2pJ/FLOP@0.8V shared logarithmic floating point unit for acceleration of nonlinear function kernels in a tightly coupled processor cluster. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 82–83. 25 indexed citations
13.
Popoff, Youri, Florian Scheidegger, Michael Schaffner, et al.. (2016). High-Efficiency Logarithmic Number Unit Design based on an Improved Cotransformation Scheme. 1387–1392. 7 indexed citations
14.
Gautschi, Michael, Michael Schaffner, Frank K. Gürkaynak, & Luca Benini. (2016). An Extended Shared Logarithmic Unit for Nonlinear Function Kernel Acceleration in a 65-nm CMOS Multicore Cluster. IEEE Journal of Solid-State Circuits. 52(1). 98–112. 11 indexed citations
15.
Schaffner, Michael, Frank K. Gürkaynak, Aljoša Smolić, & Luca Benini. (2015). DRAM or no-DRAM?: exploring linear solver architectures for image domain warping in 28 nm CMOS. Design, Automation, and Test in Europe. 707–712. 10 indexed citations
16.
Schaffner, Michael, Frank K. Gürkaynak, Pierre Greisen, et al.. (2015). Hybrid ASIC/FPGA System for Fully Automatic Stereo-to-Multiview Conversion Using IDW. IEEE Transactions on Circuits and Systems for Video Technology. 26(11). 2093–2108. 6 indexed citations
17.
Schaffner, Michael, Frank K. Gürkaynak, Aljoša Smolić, & Luca Benini. (2015). DRAM or no-DRAM? Exploring Linear Solver Architectures for Image Domain Warping in 28 nm CMOS. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 707–712. 12 indexed citations
18.
Schaffner, Michael, Pierre Greisen, Simon Heinzle, et al.. (2013). MADmax: A 1080p stereo-to-multiview rendering ASIC in 65 nm CMOS based on image domain warping. 3. 61–64. 4 indexed citations
19.
Schaffner, Michael, et al.. (2013). A real-time 720p feature extraction core based on Semantic Kernels Binarized. 5305. 27–32. 1 indexed citations
20.
Greisen, Pierre, et al.. (2012). A general-transformation EWA view rendering engine for 1080p video in 130 nm CMOS. 3. 105–110. 2 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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