Jonathan Milgram
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Anomaly Detection Techniques and Applications 3
- Text and Document Classification Technologies 2
- Machine Learning and Data Classification 1
- Cryptography and Data Security 1
- Cryptographic Implementations and Security 1
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- Face and Expression Recognition 2
- Chaos-based Image/Signal Encryption 1
- Co-authors
- Robert Sabourin (5 shared papers)Mohamed CHERIET (5 shared papers)Liming Chen (1 shared paper)Hervé Chabanne (1 shared paper)Emmanuel Prouff (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)ELCVIA Electronic Letters on Computer Vision and Image Analysis (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. (1 paper)Series in machine perception and artificial intelligence (1 paper)
In The Last Decade
Jonathan Milgram
6 papers receiving 243 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 143
- Signal Processing 60
- Artificial Intelligence 97
- Media Technology 23
- Human-Computer Interaction 11
Countries citing papers authored by Jonathan Milgram
This map shows the geographic impact of Jonathan Milgram'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 Jonathan Milgram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Milgram more than expected).
Fields of papers citing papers by Jonathan Milgram
This network shows the impact of papers produced by Jonathan Milgram. 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 Jonathan Milgram. The network helps show where Jonathan Milgram may publish in the future.
Co-authors
The 5 scholars most cited alongside Jonathan Milgram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | “One Against One” or “One Against All”: Which One is Better for Handwriting Recognition with SVMs? | 2006 | 158 |
| 2 | 2017 | 42 | |
| 3 | 2006 | 30 | |
| 4 | 2019 | 12 | |
| 5 | 2005 | 7 | |
| 6 | 2004 | 6 | |
| 7 | 2009 | 0 |
About Jonathan Milgram
Jonathan Milgram is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Signal Processing and Control and Systems Engineering, having authored 7 papers that have together received 255 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (2 papers), Text and Document Classification Technologies (2 papers), Advanced Statistical Methods and Models (2 papers), Machine Learning and Data Classification (1 paper), Chaos-based Image/Signal Encryption (1 paper), Cryptography and Data Security (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Signal Processing (60 citations), Artificial Intelligence (97 citations), Media Technology (23 citations) and Human-Computer Interaction (11 citations). Jonathan Milgram has collaborated with scholars based in Canada and France. Frequent co-authors include Robert Sabourin, Mohamed CHERIET, Liming Chen, Hervé Chabanne and Emmanuel Prouff. Their work appears in journals such as Lecture notes in computer science, ELCVIA Electronic Letters on Computer Vision and Image Analysis, HAL (Le Centre pour la Communication Scientifique Directe), Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. and Series in machine perception 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.