Jonathan Krause
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques 10
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 5
- Health Informatics top 0.1%
- Artificial Intelligence top 0.02%
- Media Technology top 0.05%
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- Retinal Imaging and Analysis 12
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- Retinal Diseases and Treatments 6
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- Historical Studies and Socio-cultural Analysis 4
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- Robotics and Sensor-Based Localization 4
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- Artificial Intelligence in Healthcare 3
Jonathan Krause
40 papers receiving 27.3k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Computer Vision and Pattern Recognition 17.2k
- Health Informatics 504
- Artificial Intelligence 11.0k
- Media Technology 2.1k
- Radiology, Nuclear Medicine and Imaging 3.4k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 33 | |
| 7 | Challenges in evaluating clinical deployments of Deep Learning Assisted Diagnostics for Diabetic Retinopathy Screening | 2020 | 2 |
| 8 | 2020 | 12 | |
| 9 | Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images | 2019 | 0 |
| 10 | 2019 | 126 | |
| 11 | Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation | 2018 | 2 |
| 12 | Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathybreakdown → | 2018 | 358 |
| 13 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathybreakdown → | 2018 | 250 |
| 14 | 2018 | 184 | |
| 15 | 2017 | 45 | |
| 16 | ImageNet Large Scale Visual Recognition Challengebreakdown → | 2015 | 23680 |
| 17 | 3D Object Representations for Fine-Grained Categorizationbreakdown → | 2013 | 1932 |
| 18 | Collecting a Large-scale Dataset of Fine-grained Cars | 2013 | 52 |
| 19 | Early Trench Tactics in the French Army: The Second Battle of Artois, May-June 1915 | 2013 | 1 |
| 20 | Global Conflict and Elite Integration in the 19th and Early 20th Centuries | 2006 | 1 |
About Jonathan Krause
Jonathan Krause is a scholar working on Health Informatics, History and Philosophy of Science, Ophthalmology, Computer Vision and Pattern Recognition and Health Information Management, having authored 45 papers that have together received 28.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (7 papers), Retinal Diseases and Treatments (6 papers), Video Surveillance and Tracking Methods (5 papers), Historical Studies and Socio-cultural Analysis (4 papers), Robotics and Sensor-Based Localization (4 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.2k citations), Health Informatics (504 citations), Artificial Intelligence (11.0k citations), Media Technology (2.1k citations) and Radiology, Nuclear Medicine and Imaging (3.4k citations). Jonathan Krause has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Li Fei-Fei, Jia Deng, Olga Russakovsky, Michael S. Bernstein, Sanjeev Satheesh, Andrej Karpathy, Aditya Khosla, Hao Su, Zhiheng Huang and Alexander C. Berg. Their work appears in journals such as Ophthalmology, Investigative Ophthalmology & Visual Science, Nature Medicine, French History and JAMA.
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.