John S. Denker

8.7k citations

20 papers · 4.8k indexed · 2 hit papers · h-index 15

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM

Papers in

Computer Vision and Pattern Recognition 8
- Handwritten Text Recognition Techniques 5
- Face and Expression Recognition 2
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 2
Artificial Intelligence 11
- Neural Networks and Applications 10
- Machine Learning and Algorithms 4
- Quantum Computing Algorithms and Architecture 1

Co-authors: Yann LeCun Sara A. Solla Richard Howard Lawrence D. Jackel D. Henderson Bernhard E. Boser Patrice Simard Ben S. Wittner
Journals: International Journal of Imaging Systems and Technology (2 papers)Physica D Nonlinear Phenomena (1 paper)Neural Computation (1 paper)Complex Systems (1 paper)American Journal of Physics (1 paper)
Partner nations: United States Germany France

In The Last Decade

John S. Denker

19 papers receiving 4.4k citations

Hit Papers

align trajectories log scale

Handwritten Digit Recognition with a Back-Propagation Network 1989 · 2.3k 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.

1989 neural information processing systems
1989 Neural Information Processing Systems

Peers

Countries citing papers authored by John S. Denker

Since Specialization

Citations

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

Fields of papers citing papers by John S. Denker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Denker. 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 John S. Denker. The network helps show where John S. Denker may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	Inexpensive electronics and software for photon statistics and correlation spectroscopy American Journal of Physics ·Benjamin D. Gamari, Dianwen Zhang, Richard E. Buckman, Peker Milas, John S. Denker, Hui Chen, Hongmin Li, Lori S. Goldner	2014	8
2	Transformation invariance in pattern recognition: Tangent distance and propagation International Journal of Imaging Systems and Technology ·Patrice Y. Simard, Yann A. Le Cun, John S. Denker, Bernard Victorri	2000	101
3	Transformation invariance in pattern recognition: Tangent distance and propagation International Journal of Imaging Systems and Technology ·Patrice Y. Simard, Yann A. Le Cun, John S. Denker, Bernard Victorri	2000	2
4	Moat: A Virtual Private Network Appliance and Services Platform Columbia Academic Commons (Columbia University) ·John S. Denker, Steven M. Bellovin, Hugh Daniel, Nancy L. Mintz, Tom Killian, Mark A. Plotnick	1999	6
5	Neural Networks for Computing John S. Denker	1998	43
6	Learning Curves: Asymptotic Values and Rate of Convergence Neural Information Processing Systems ·Corinna Cortes, L. D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker	1993	73
7	Improving Rejection Performance on Handwritten Digits by Training with “Rubbish” Neural Computation ·Jane Bromley, John S. Denker	1993	14
8	Efficient Pattern Recognition Using a New Transformation Distance Neural Information Processing Systems ·Patrice Simard, Yann LeCun, John S. Denker	1992	307
9	Multi-Digit Recognition Using a Space Displacement Neural Network neural information processing systems ·O. Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker	1991	81
10	Transforming Neural-Net Output Levels to Probability Distributions Neural Information Processing Systems ·John S. Denker, Yann LeCun	1990	123
11	Handwritten Digit Recognition with a Back-Propagation Network neural information processing systems ·Yann LeCun, Bernhard E. Boser, John S. Denker, D. Henderson, Richard Howard, Wayne E. Hubbard, Lawrence D. Jackel Hit paper breakdown →	1989	2301
12	Optimal Brain Damage Neural Information Processing Systems ·Yann LeCun, John S. Denker, Sara A. Solla Hit paper breakdown →	1989	1365
13	Neural Network Recognizer for Hand-Written Zip Code Digits Neural Information Processing Systems ·John S. Denker, W.R. Gardner, Hans Peter Graf, D. Henderson, Richard Howard, W. Hubbard, L. D. Jackel, Henry S. Baird, Isabelle Guyon	1988	89
14	Large Automatic Learning, Rule Extraction, and Generalization. Complex Systems ·John S. Denker, Daniel Schwartz, Ben S. Wittner, Sara A. Solla, Richard Howard, Lawrence D. Jackel, J. J. Hopfield	1987	166
15	Network Generality, Training Required, and Precision Required Neural Information Processing Systems ·John S. Denker, Ben S. Wittner	1987	18
16	Strategies for Teaching Layered Networks Classification Tasks Neural Information Processing Systems ·Ben S. Wittner, John S. Denker	1987	28
17	Microelectronic Implementations of Connectionist Neural Networks Neural Information Processing Systems ·Stuart Mackie, Hans Peter Graf, Daniel Schwartz, John S. Denker	1987	4
18	AIP Conference Proceedings 151 on Neural Networks for Computing John S. Denker	1987	22
19	Neural networks for computing : Snowbird, UT 1986 American Institute of Physics eBooks ·John S. Denker	1986	0
20	Neural network models of learning and adaptation Physica D Nonlinear Phenomena ·John S. Denker	1986	35

About John S. Denker

John S. Denker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Biophysics and Signal Processing, having authored 20 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Handwritten Text Recognition Techniques (5 papers), Machine Learning and Algorithms (4 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), IPv6, Mobility, Handover, Networks, Security (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (2.6k citations), Signal Processing (441 citations), Computational Mathematics (21 citations) and Media Technology (292 citations). John S. Denker has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Yann LeCun, Sara A. Solla, Richard Howard, Lawrence D. Jackel, D. Henderson, Bernhard E. Boser, Patrice Simard, Ben S. Wittner, Patrice Y. Simard and Bernard Victorri. Their work appears in journals such as International Journal of Imaging Systems and Technology, Physica D Nonlinear Phenomena, Neural Computation, Complex Systems and American Journal of Physics.

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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