Jonathan Krause
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 0.02%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in
-
- Advanced Image and Video Retrieval Techniques 10
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 5
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Li Fei-Fei (15 shared papers)Jia Deng (11 shared papers)Olga Russakovsky (3 shared papers)Michael S. Bernstein (2 shared papers)Aditya Khosla (2 shared papers)Sanjeev Satheesh (2 shared papers)Andrej Karpathy (2 shared papers)Zhiheng Huang (2 shared papers)
- Journals
- Ophthalmology (3 papers)Investigative Ophthalmology & Visual Science (3 papers)French History (2 papers)Nature Medicine (2 papers)The Journal of Imperial & Commonwealth History (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Jonathan Krause
43 papers receiving 28.1k citations
Jonathan Krause's Hit Papers
Peers
Comparison fields: 5 of 221
- Computer Vision and Pattern Recognition 17.3k
- Artificial Intelligence 11.0k
- Health Informatics 434
- Media Technology 2.1k
- Radiology, Nuclear Medicine and Imaging 3.1k
Countries citing papers authored by Jonathan Krause
This map shows the geographic impact of Jonathan Krause'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 Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Krause more than expected).
Fields of papers citing papers by Jonathan Krause
This network shows the impact of papers produced by Jonathan Krause. 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 Krause. The network helps show where Jonathan Krause may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Krause, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ImageNet Large Scale Visual Recognition Challenge Hit paper breakdown → | 2015 | 24111 |
| 2 | 3D Object Representations for Fine-Grained Categorization Hit paper breakdown → | 2013 | 1993 |
| 3 | Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy Hit paper breakdown → | 2018 | 366 |
| 4 | 2019 | 346 | |
| 5 | Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States Hit paper breakdown → | 2017 | 319 |
| 6 | Fine-grained recognition without part annotations Hit paper breakdown → | 2015 | 316 |
| 7 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy Hit paper breakdown → | 2018 | 257 |
| 8 | 2018 | 190 | |
| 9 | 2013 | 186 | |
| 10 | 2019 | 130 | |
| 11 | 2007 | 115 | |
| 12 | 2012 | 114 | |
| 13 | The next big one: Detecting earthquakes and other rare events from community-based sensors | 2011 | 104 |
| 14 | 2014 | 94 | |
| 15 | 2014 | 82 | |
| 16 | Collecting a Large-scale Dataset of Fine-grained Cars | 2013 | 53 |
| 17 | 2017 | 48 | |
| 18 | 2012 | 42 | |
| 19 | 2023 | 36 | |
| 20 | 2015 | 34 |
About Jonathan Krause
Jonathan Krause is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, History and Political Science and International Relations, having authored 47 papers that have together received 29.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (7 papers), Retinal Imaging and Analysis (5 papers), Video Surveillance and Tracking Methods (5 papers), Historical Studies and Socio-cultural Analysis (4 papers), Robotics and Sensor-Based Localization (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and North African History and Literature (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.3k citations), Artificial Intelligence (11.0k citations), Health Informatics (434 citations), Media Technology (2.1k citations) and Radiology, Nuclear Medicine and Imaging (3.1k citations). Jonathan Krause has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Li Fei-Fei, Jia Deng, Olga Russakovsky, Michael S. Bernstein, Aditya Khosla, Sanjeev Satheesh, Andrej Karpathy, Zhiheng Huang, Hao Su and Alexander C. Berg. Their work appears in journals such as Ophthalmology, Investigative Ophthalmology & Visual Science, French History, Nature Medicine and The Journal of Imperial & Commonwealth History.
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.