Eduard Säckinger

8.4k citations
34 papers · 6.1k · 4 hit papers · h-index 21

Impact in

Papers in

Eduard Säckinger

34 papers receiving 5.7k citations

Eduard Säckinger's Hit Papers

Comparison of classifier methods: a case study in handwritten digit recognition 2002 · 473 citations
4730+12+24Years since publication50010001.5k

Peers

Eduard Säckinger
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 2.2k
  • Artificial Intelligence 2.2k
  • Signal Processing 535
  • Media Technology 388
  • Electrical and Electronic Engineering 1.8k
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Gary Bishop United States
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Citations per year

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-authors

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

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
Hit paper breakdown →
19931529
2
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
Hit paper breakdown →
19941350
3
Comparison of classifier methods: a case study in handwritten digit recognition
Hit paper breakdown →
2002473
4
Comparison of learning algorithms for handwritten digit recognition
1995423
5
A high-swing, high-impedance MOS cascode circuit
Hit paper breakdown →
1990412
6 1995346
7 1987335
8 2005205
9 2000153
10 2010120
11 1991113
12 2017108
13 200098
14 199286
15 198885
16 201234
17 200032
18 199130
19 199126
20
Neural-Network and k-Nearest-neighbor Classifiers
199125

About Eduard Säckinger

Eduard Säckinger is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications, having authored 34 papers that have together received 6.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Analog and Mixed-Signal Circuit Design (9 papers), Advanced Memory and Neural Computing (7 papers), Handwritten Text Recognition Techniques (7 papers), Semiconductor Lasers and Optical Devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Radio Frequency Integrated Circuit Design (4 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Artificial Intelligence (2.2k citations), Signal Processing (535 citations), Media Technology (388 citations) and Electrical and Electronic Engineering (1.8k citations). Eduard Säckinger has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Yann LeCun, Léon Bottou, W. Guggenbühl, Jane Bromley, Isabelle Guyon, Isabelle Guyon, L. D. Jackel, J. S. Denker, Vladimir Vapnik and Harris Drucker. 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 Lecture notes in computer science.

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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