Christopher Kanan
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- Multimodal Machine Learning Applications 18
- Advanced Image and Video Retrieval Techniques 16
- Advanced Neural Network Applications 6
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 24
- AI in cancer detection 6
- Health Informatics top 1%
- Media Technology top 0.5%
- Remote-Sensing Image Classification 7
- Human-Computer Interaction top 1%
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- Radiomics and Machine Learning in Medical Imaging 7
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- Animal Diversity and Health Studies 5
- Co-authors
- Ronald KemkerStefan WermterJose L. PartGerman I. ParisiGarrison W. CottrellKushal KafleSulabh KumraTyler L. Hayes
- Journals
- Cells Tissues Organs (4 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)Acta Zoologica (3 papers)
- Partner nations
- United StatesSudanItaly
In The Last Decade
Christopher Kanan
71 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 2.5k
- Health Informatics 89
- Media Technology 567
- Human-Computer Interaction 314
Countries citing papers authored by Christopher Kanan
This map shows the geographic impact of Christopher Kanan'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 Christopher Kanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Kanan more than expected).
Fields of papers citing papers by Christopher Kanan
This network shows the impact of papers produced by Christopher Kanan. 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 Christopher Kanan. The network helps show where Christopher Kanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Kanan, 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 | 2024 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2021 | 10 | |
| 4 | On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law | 2020 | 7 |
| 5 | 2020 | 121 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 79 | |
| 8 | Continual lifelong learning with neural networks: A reviewbreakdown → | 2019 | 1665 |
| 9 | 2019 | 17 | |
| 10 | Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learningbreakdown → | 2018 | 420 |
| 11 | 2018 | 123 | |
| 12 | Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery. | 2017 | 3 |
| 13 | 2017 | 66 | |
| 14 | FearNet: Brain-Inspired Model for Incremental Learning | 2017 | 28 |
| 15 | 2017 | 130 | |
| 16 | Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. | 2015 | 2 |
| 17 | 2015 | 72 | |
| 18 | 2013 | 7 | |
| 19 | 2013 | 8 | |
| 20 | 2009 | 202 |
About Christopher Kanan
Christopher Kanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 74 papers that have together received 5.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (24 papers), Multimodal Machine Learning Applications (18 papers), Advanced Image and Video Retrieval Techniques (16 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Remote-Sensing Image Classification (7 papers), AI in cancer detection (6 papers), Advanced Neural Network Applications (6 papers) and Animal Diversity and Health Studies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (2.5k citations) and Health Informatics (89 citations). Christopher Kanan has collaborated with scholars based in United States, Sudan and Italy. Frequent co-authors include Ronald Kemker, Stefan Wermter, Jose L. Part, German I. Parisi, Garrison W. Cottrell, Kushal Kafle, Sulabh Kumra, Tyler L. Hayes, Carl Salvaggio and Matthew H. Tong. Their work appears in journals such as Cells Tissues Organs, IEEE Transactions on Geoscience and Remote Sensing, Acta Zoologica, Journal of Vision and PLoS ONE.
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.