Michael Revow

1.0k citations
18 papers · 723 · h-index 10

Impact in

    • Face and Expression Recognition
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Handwritten Text Recognition Techniques
    • Image Processing and 3D Reconstruction
    • Neural Networks and Applications
    • Bayesian Methods and Mixture Models

Papers in

Michael Revow

18 papers receiving 675 citations

Peers

Michael Revow
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 389
  • Artificial Intelligence 313
  • Signal Processing 91
  • Media Technology 39
  • Analytical Chemistry 40
Replace George Sebestyen with:
George Sebestyen United States
Predrag Neskovic United States
GE Hinton Canada
Olga Kouropteva Finland
Andrej Gisbrecht Germany
Pierce Lai United Kingdom
S.Z. Li Singapore
Djamel Bouchaffra United States
Amel Benazza‐Benyahia Tunisia
Zhuoping Zhou United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Revow

Since Specialization
Citations

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

Fields of papers citing papers by Michael Revow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Michael Revow, 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 Michael Revow Line = papers co-authored together Michael Revow links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1997245
2 1996138
3
Advances in Neural Information Processing Systems 4 (NIPS 1991)
199193
4
Recognizing Handwritten Digits Using Mixtures of Linear Models
199472
5
Adaptive Elastic Models for Hand-Printed Character Recognition
199163
6 198721
7 202215
8 198714
9 198913
10 199710
11
Using Pairs of Data-Points to Define Splits for Decision Trees
19958
12 19897
13
Personalization of an Online Handwriting Recognition System
20066
14 19865
15
Using a neural net to instantiate a deformable model
19945
16
Combining two methods of recognizing hand-printed digits
19924
17
Hand-printed digit recognition using deformable models
19943
18 20201

About Michael Revow

Michael Revow is a scholar working on Endocrine and Autonomic Systems, Computer Vision and Pattern Recognition, Signal Processing, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 18 papers that have together received 723 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (5 papers), Neural Networks and Applications (4 papers), Respiratory Support and Mechanisms (4 papers), Handwritten Text Recognition Techniques (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Image Processing and 3D Reconstruction (3 papers), Image Retrieval and Classification Techniques (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Artificial Intelligence (313 citations), Signal Processing (91 citations), Media Technology (39 citations) and Analytical Chemistry (40 citations). Michael Revow has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Geoffrey E. Hinton, Peter Dayan, Christopher K. I. Williams, S. J. England, Donna L. Wilkes, M. H. Bryan, A. C. Bryan, Sandra J. England, Byung-Gon Chun and Yongqiang Xiong. Their work appears in journals such as Journal of Applied Physiology, Computer Vision and Image Understanding, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence and Medical & Biological Engineering & Computing.

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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