Christopher Kanan

10.5k total citations · 4 hit papers
74 papers, 5.2k citations indexed

About

Christopher Kanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Christopher Kanan has authored 74 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 12 papers in Cognitive Neuroscience. Recurrent topics in Christopher Kanan's work include Domain Adaptation and Few-Shot Learning (24 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Christopher Kanan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (24 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Christopher Kanan collaborates with scholars based in United States, Sudan and Italy. Christopher Kanan's co-authors include Ronald Kemker, Stefan Wermter, German I. Parisi, Jose L. Part, Garrison W. Cottrell, Kushal Kafle, Sulabh Kumra, Tyler L. Hayes, Carl Salvaggio and Matthew H. Tong and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Christopher Kanan

71 papers receiving 5.0k 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.

Continual lifelong learning with neural networks: A review

2019 1.7k citations German I. Parisi, Ronald Kemker et al. Neural Networks profile →
Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

2018 420 citations Ronald Kemker, Carl Salvaggio et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
Robotic grasp detection using deep convolutional neural networks

2017 327 citations Christopher Kanan et al. profile →
Measuring Catastrophic Forgetting in Neural Networks

2018 312 citations Ronald Kemker, Tyler L. Hayes et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christopher Kanan United States	28	2.5k	2.4k	567	456	426	74	5.2k
Ueli Meier Switzerland	16	2.2k 0.9×	3.2k 1.3×	859 1.5×	239 0.5×	293 0.7×	17	6.8k
Graham W. Taylor Canada	26	1.6k 0.6×	2.3k 1.0×	498 0.9×	263 0.6×	219 0.5×	101	5.5k
Björn Ommer Germany	21	1.9k 0.7×	4.5k 1.9×	344 0.6×	411 0.9×	341 0.8×	68	7.4k
Patrick Esser United Kingdom	18	1.6k 0.6×	3.8k 1.6×	322 0.6×	410 0.9×	292 0.7×	69	7.2k
Bing Shuai Singapore	17	1.6k 0.6×	2.4k 1.0×	411 0.7×	293 0.6×	205 0.5×	31	5.8k
Tong Zhang China	40	4.0k 1.6×	2.5k 1.0×	756 1.3×	600 1.3×	708 1.7×	213	7.9k
Li Zhang China	45	2.4k 1.0×	2.4k 1.0×	262 0.5×	339 0.7×	345 0.8×	389	7.1k
Abhinav Gupta United States	35	3.7k 1.4×	5.3k 2.2×	502 0.9×	358 0.8×	196 0.5×	76	7.9k
João Paulo Papa Brazil	46	2.8k 1.1×	1.7k 0.7×	507 0.9×	491 1.1×	558 1.3×	287	7.8k
Dan Cireşan Switzerland	15	2.9k 1.1×	3.9k 1.7×	920 1.6×	274 0.6×	268 0.6×	19	7.8k

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-authorship network of co-authors of Christopher Kanan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

An, Jie, et al.. (2024). Learning to Evaluate the Artness of AI-Generated Images. IEEE Transactions on Multimedia. 26. 10731–10740. 7 indexed citations

Gopalaswamy, V., et al.. (2024). Deep learning-based predictive models for laser direct drive at the Omega Laser Facility. Physics of Plasmas. 31(5). 1 indexed citations

Raciti, Patricia, Jillian Sue, Juan Antonio Retámero, et al.. (2022). Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection. Archives of Pathology & Laboratory Medicine. 147(10). 1178–1185. 54 indexed citations

Hayes, Tyler L., Giri P. Krishnan, Maxim Bazhenov, et al.. (2021). Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Computation. 33(11). 1–44. 58 indexed citations

Teney, Damien, Ehsan Abbasnejad, Kushal Kafle, et al.. (2020). On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 33. 407–417. 7 indexed citations

Ientilucci, Emmett J., et al.. (2020). AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Transactions on Geoscience and Remote Sensing. 58(11). 8116–8124. 33 indexed citations

Parisi, German I., Ronald Kemker, Jose L. Part, Christopher Kanan, & Stefan Wermter. (2019). Continual lifelong learning with neural networks: A review. Neural Networks. 113. 54–71. 1665 indexed citations breakdown →

Kemker, Ronald, Carl Salvaggio, & Christopher Kanan. (2018). Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 60–77. 420 indexed citations breakdown →

Hayes, Tyler L., Ronald Kemker, Nathan D. Cahill, & Christopher Kanan. (2018). New Metrics and Experimental Paradigms for Continual Learning. 2112–21123. 12 indexed citations

10.

Kafle, Kushal, Brian Price, Scott Cohen, & Christopher Kanan. (2018). DVQA: Understanding Data Visualizations via Question Answering. 5648–5656. 123 indexed citations

11.

Kafle, Kushal, et al.. (2017). Data Augmentation for Visual Question Answering. 198–202. 66 indexed citations

12.

Kemker, Ronald & Christopher Kanan. (2017). Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery.. arXiv (Cornell University). 3 indexed citations

13.

Kafle, Kushal & Christopher Kanan. (2017). An Analysis of Visual Question Answering Algorithms. 1983–1991. 130 indexed citations

14.

Kemker, Ronald & Christopher Kanan. (2017). FearNet: Brain-Inspired Model for Incremental Learning. arXiv (Cornell University). 28 indexed citations

15.

Wang, Panqu, Garrison W. Cottrell, & Christopher Kanan. (2015). Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.. Cognitive Science. 2 indexed citations

16.

Zhang, Mabel M., et al.. (2015). VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums. 10–16. 113 indexed citations

17.

Kanan, Christopher, et al.. (2015). Humans have idiosyncratic and task-specific scanpaths for judging faces. Vision Research. 108. 67–76. 72 indexed citations

18.

Kanan, Christopher. (2013). Active Object Recognition with a Space-Variant Retina. SHILAP Revista de lepidopterología. 2013. 1–10. 7 indexed citations

19.

Kanan, Christopher. (2013). Recognizing Sights, Smells, and Sounds with Gnostic Fields. PLoS ONE. 8(1). e54088–e54088. 8 indexed citations

20.

Kanan, Christopher. (1959). A Study of the Nasal Region in a fully formed Chondrocranium of Ovis (Orientalis Gemelin). Acta Zoologica. 40(1). 85–99. 2 indexed citations

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.

Explore authors with similar magnitude of impact