Christopher Kanan

10.5k citations
74 papers · 5.2k · 4 hit papers · h-index 28

Impact in

Papers in

Christopher Kanan

71 papers receiving 5.0k citations

Christopher Kanan's Hit Papers

Continual lifelong learning with neural networks: A review 2019 · 1.7k citations
1.7k0+3+6Years since publication50010001.5k

Peers

Christopher Kanan
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
Replace Thomas Martinetz with:
Thomas Martinetz Germany
Hong Qin United States
Xiangyang Xue China
Zhenhua Wang China
Björn Ommer Germany
Xiaodan Liang China
Jianbing Shen China
Yizhou Wang China
Lipo Wang Singapore
Samuel Albanie United Kingdom
Christopher Kanan relative to Thomas Martinetz Germany Thomas Martinetz's profile →
Citations per field
00.5×3.6×
Thomas Martinetz · 1×
Citations per year

Countries citing papers authored by Christopher Kanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Christopher Kanan Line = papers co-authored together Christopher Kanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Continual lifelong learning with neural networks: A review
Hit paper breakdown →
20191665
2
Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning
Hit paper breakdown →
2018420
3
Robotic grasp detection using deep convolutional neural networks
Hit paper breakdown →
2017327
4
Measuring Catastrophic Forgetting in Neural Networks
Hit paper breakdown →
2018312
5 2012258
6 2009202
7 2017142
8 2010135
9 2017130
10 2018123
11 2020121
12 2015113
13 201799
14 201998
15 202079
16 202079
17 201572
18 201670
19 201766
20 202158

About Christopher Kanan

Christopher Kanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Media Technology, 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), Remote-Sensing Image Classification (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Neural Network Applications (6 papers), AI in cancer detection (6 papers) and Visual perception and processing mechanisms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (2.5k citations), Health Informatics (89 citations), Media Technology (567 citations) and Human-Computer Interaction (314 citations). Christopher Kanan has collaborated with scholars based in United States, Sudan and Italy. Frequent co-authors include Ronald Kemker, German I. Parisi, Stefan Wermter, Jose L. Part, Garrison W. Cottrell, Kushal Kafle, Sulabh Kumra, Tyler L. Hayes, Carl Salvaggio and Lingyun Zhang. 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.

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