Matthew Kabrisky

2.0k citations

54 papers · 1.5k indexed · 1 hit paper · h-index 17

Artificial Intelligence top 2%
Computer Vision and Pattern Recognition top 2%
Media Technology top 2%
Aerospace Engineering top 10%
Signal Processing top 5%

Co-authors: Steven K. Rogers Mark E. Oxley D.W. Ruck Bruce W. Suter Dennis W. Ruck Terry A. Wilson P.S. Maybeck John M. Colombi
Topics: Neural Networks and Applications (13 papers)Infrared Target Detection Methodologies (10 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)
Cited by: Media Technology Artificial Intelligence Computer Vision and Pattern Recognition
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Geoscience and Remote Sensing IEEE Transactions on Biomedical Engineering
Partner nations: United States

In The Last Decade

Matthew Kabrisky

51 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The multilayer perceptron as an approximation to a Bayes optimal discriminant function

1990 562 citations D.W. Ruck, Steven K. Rogers et al. IEEE Transactions on Neural Networks profile →

Peers

Countries citing papers authored by Matthew Kabrisky

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Kabrisky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Kabrisky

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Kabrisky. A scholar is included among the top collaborators of Matthew Kabrisky 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 Matthew Kabrisky. Matthew Kabrisky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Phoneme adjustment in enhanced speech 2003 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown),Matthew Kabrisky,Steven K. Rogers	0
2	Novel electrocardiogram segmentation algorithm using a multiple model adaptive estimator 2003 ·Zenodo (CERN European Organization for Nuclear Research) ·Gary S. Hoffman,(unknown),Matthew Kabrisky,P.S. Maybeck,John Raquet	5
3	Backpropagation of an Image Similarity Metric for Autoassociative Neural Networks 2000 ·Pattern Analysis and Applications ·(unknown),Steven K. Rogers,Mark E. Oxley,Matthew Kabrisky	1
4	Evolution programs for Bayesian training of neural networks 1998 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown),John G. Keller,Steven K. Rogers,Matthew Kabrisky	2
5	Artificial neural networks for early detection and diagnosis of cancer 1994 ·Cancer Letters ·Steven K. Rogers,Dennis W. Ruck,Matthew Kabrisky	21
6	A facial feature communications interface for the non-vocal 1993 ·IEEE Engineering in Medicine and Biology Magazine ·(unknown),(unknown),Steven K. Rogers,D.W. Ruck,(unknown),Matthew Kabrisky	1
7	The complex cepstrum applied to two-dimensional images 1993 ·Pattern Recognition ·(unknown),Matthew Kabrisky,Mark E. Oxley,Steven K. Rogers,Dennis W. Ruck	22
8	Bayesian selection of important features for feedforward neural networks 1993 ·Neurocomputing ·Kevin L. Priddy,Steven K. Rogers,Dennis W. Ruck,(unknown),Matthew Kabrisky	42
9	On a Magnitude Preserving Iterative MAXnet Algorithm 1992 ·Neural Computation ·Bruce W. Suter,Matthew Kabrisky	17
10	Feature Selection Using a Multilayer Perceptron 1990 ·(unknown),Steven K. Rogers,Matthew Kabrisky	170
11	The multilayer perceptron as an approximation to a Bayes optimal discriminant functionbreakdown → 1990 ·IEEE Transactions on Neural Networks ·D.W. Ruck,Steven K. Rogers,Matthew Kabrisky,Mark E. Oxley,Bruce W. Suter	562
12	AFIT neural network research 1990 ·IEEE Aerospace and Electronic Systems Magazine ·Steven K. Rogers,D.W. Ruck,Matthew Kabrisky,(unknown)	3
13	Optical amplification in 45° cut BaTi0 3 1990 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Steven K. Rogers,(unknown),(unknown),Matthew Kabrisky,(unknown)	4
14	<title>Artificial neural networks for automatic target recognition</title> 1990 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Steven K. Rogers,Dennis W. Ruck,Matthew Kabrisky,(unknown)	6
15	Reconstruction of mutilated speech 1989 ·IEEE Aerospace and Electronic Systems Magazine ·Matthew Kabrisky,Steven K. Rogers,(unknown)	1
16	Multisensor Fusion Of Ladar And Passive Infrared Imagery For Target Segmentation 1989 ·Optical Engineering ·Steven K. Rogers,(unknown),Matthew Kabrisky,(unknown)	7
17	Three-Dimensional Scene Analysis Using Stereo Based Imaging 1988 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown),Steven K. Rogers,Matthew Kabrisky,(unknown)	1
18	Multisensor Target Detection And Classification 1988 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Dennis W. Ruck,Steven K. Rogers,(unknown),Matthew Kabrisky	10
19	A Distortion-Invariant Pattern Recognition Algorithm 1987 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown),(unknown),Steven K. Rogers,Matthew Kabrisky,J. P. Mills	1
20	A Proposed Model for Visual Information Processing in the Human Brain 1966 ·University of Illinois Press eBooks ·Matthew Kabrisky	31

About Matthew Kabrisky

Matthew Kabrisky is a scholar working on Media Technology, Signal Processing and Artificial Intelligence, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Infrared Target Detection Methodologies (10 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Media Technology (205 citations), Artificial Intelligence (665 citations) and Computer Vision and Pattern Recognition (389 citations). Matthew Kabrisky has collaborated with scholars based in United States. Frequent co-authors include Steven K. Rogers, Mark E. Oxley, D.W. Ruck, Bruce W. Suter, Dennis W. Ruck, Terry A. Wilson, P.S. Maybeck, John M. Colombi, Kevin L. Priddy and Thomas J. Burns. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.

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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