Eduard Säckinger

8.4k citations

31 papers · 4.3k indexed · 3 hit papers · h-index 19

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Face and Expression Recognition
Artificial Intelligence top 1%
- Neural Networks and Applications

Papers in

Artificial Intelligence 16
- Neural Networks and Applications 14
- Machine Learning and Algorithms 3
Electrical and Electronic Engineering 20
- Advanced Memory and Neural Computing 7
- Radio Frequency Integrated Circuit Design 4
- Semiconductor Lasers and Optical Devices 4
- Advancements in Semiconductor Devices and Circuit Design 4

Co-authors: W. Guggenbühl Yann LeCun Léon Bottou Isabelle Guyon Jane Bromley L. D. Jackel J. S. Denker Vladimir Vapnik
Journals: IEEE Journal of Solid-State Circuits (8 papers)IEEE Transactions on Circuits and Systems I Regular Papers (3 papers)IEEE Micro (1 paper)IEEE Transactions on Circuits and Systems (2 papers)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
Partner nations: United States Switzerland Germany

In The Last Decade

Eduard Säckinger

31 papers receiving 4.0k citations

Hit Papers

align trajectories log scale

Comparison of classifier methods: a case study in handwritten digit recognition 2002 · 408 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2002 Comparison of classifier methods: a case study in handwritten digit recognition
1993 International Journal of Pattern Recognition and Artificial Intelligence
1990 IEEE Journal of Solid-State Circuits

Peers

Countries citing papers authored by Eduard Säckinger

Since Specialization

Citations

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

Fields of papers citing papers by Eduard Säckinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Analysis and Design of Transimpedance Amplifiers for Optical Receivers Eduard Säckinger	2017	104
2	On the Noise Optimum of FET Broadband Transimpedance Amplifiers IEEE Transactions on Circuits and Systems I Regular Papers ·Eduard Säckinger	2012	34
3	On the Excess Noise Factor $\Gamma$ of a FET Driven by a Capacitive Source IEEE Transactions on Circuits and Systems I Regular Papers ·Eduard Säckinger	2011	6
4	The Transimpedance Limit IEEE Transactions on Circuits and Systems I Regular Papers ·Eduard Säckinger	2010	115
5	Low power CMOS burst-mode laser driver for full service access network application Eduard Säckinger, Yusuke Ota, T. Gabara, W.C. Fischer	2003	2
6	A neural network approach to handprint character recognition L. D. Jackel, Xi Shen Chen, Henry S. Baird, Bernhard E. Boser, Jane Bromley, Christopher J. C. Burges, J. S. Denker, Hans Peter Graf, D. Henderson, Richard Howard, W. Hubbard, Yann LeCun, O. Matan, Edwin Pednault, Tetsuya Fujimura, Eduard Säckinger, Tim Thompson	2002	2
7	A 3.2 GOPS multiprocessor DSP for communication applications Cynthia Maldonado-Garcia, Jean-Marc Fouet, Chris Nicol, Eduard Säckinger, S.J. Daubert, Basavaraj Kaladagi, Gerson K. Kampungu, Jens Knobloch, L. Guzzo, B. Ackland	2002	5
8	An analog neural network processor and its application to high-speed character recognition Bernhard E. Boser, Eduard Säckinger, Jane Bromley, Yann LeCun, Richard Howard, L. D. Jackel	2002	10
9	A single-chip, 1.6-billion, 16-b MAC/s multiprocessor DSP IEEE Journal of Solid-State Circuits ·B. Ackland, Verónica Díaz A, L. Guzzo, S.J. Daubert, A. Kalavade, Jens Knobloch, Basavaraj Kaladagi, Gerson K. Kampungu, Chris Nicol, Туманова Алла Николаевна, Johann Remé, Eduard Säckinger, Jean-Marc Fouet, J.N. Sweet, Ujwal Shingne, Cynthia Maldonado-Garcia	2000	83
10	A 15-mW, 155-Mb/s CMOS burst-mode laser driver with automatic power control and end-of-life detection IEEE Journal of Solid-State Circuits ·Eduard Säckinger, Yusuke Ota, T. Gabara, W.C. Fischer	2000	31
11	A board system for high-speed image analysis and neural networks IEEE Transactions on Neural Networks ·Eduard Säckinger, Hans Peter Graf	1996	7
12	Learning algorithms for classification: A comparison on handwritten digit recognition Revista Brasileira de Ortopedia ·Yann LeCun, L. D. Jackel, Léon Bottou, Corinna Cortes, J. S. Denker, Harris Drucker, Isabelle Guyon, Urs Müller, Eduard Säckinger, Patrice Simard, Vladimir Vapnik	1995	309
13	Recent developments of electronic neural nets in North America The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ·Hans Peter Graf, Eduard Säckinger, L. D. Jackel	1993	9
14	Application of the ANNA neural network chip to high-speed character recognition IEEE Transactions on Neural Networks ·Eduard Säckinger, Bernhard E. Boser, Jane Bromley, Yann LeCun, L. D. Jackel	1992	77
15	Hardware requirements for neural network pattern classifiers: a case study and implementation IEEE Micro ·Bernhard E. Boser, Eduard Säckinger, Jane Bromley, Yann LeCun, L. D. Jackel	1992	14
16	A Neurocomputer Board Based on the ANNA Neural Network Chip Neural Information Processing Systems ·Eduard Säckinger, Bernhard E. Boser, Lawrence D. Jackel	1991	8
17	A general relationship between amplifier parameters, and its application to PSRR improvement IEEE Transactions on Circuits and Systems ·Eduard Säckinger, Josef Goette, W. Guggenbühl	1991	26
18	A high-swing, high-impedance MOS cascode circuit IEEE Journal of Solid-State Circuits ·Eduard Säckinger, W. Guggenbühl Hit paper breakdown →	1990	390
19	An analog trimming circuit based on a floating-gate device IEEE Journal of Solid-State Circuits ·Eduard Säckinger, W. Guggenbühl	1988	76
20	A versatile building block: the CMOS differential difference amplifier IEEE Journal of Solid-State Circuits ·Eduard Säckinger, W. Guggenbühl	1987	313

About Eduard Säckinger

Eduard Säckinger is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 31 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Analog and Mixed-Signal Circuit Design (9 papers), Advanced Memory and Neural Computing (7 papers), Handwritten Text Recognition Techniques (5 papers), Radio Frequency Integrated Circuit Design (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.3k citations), Signal Processing (318 citations), Media Technology (257 citations) and Electrical and Electronic Engineering (1.6k citations). Eduard Säckinger has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include W. Guggenbühl, Yann LeCun, Léon Bottou, Isabelle Guyon, Jane Bromley, L. D. Jackel, J. S. Denker, Vladimir Vapnik, Harris Drucker and Urs Müller. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Micro, IEEE Transactions on Circuits and Systems and International Journal of Pattern Recognition and Artificial Intelligence.

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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