Jan Freyberg
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
- Visual perception and processing mechanisms
- Neural dynamics and brain function
Papers in
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- Autism Spectrum Disorder Research 5
- Visual perception and processing mechanisms 2
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- Explainable Artificial Intelligence (XAI) 2
- Data Stream Mining Techniques 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Caroline E. Robertson (5 shared papers)Simon Baron‐Cohen (5 shared papers)Chris I. Baker (2 shared papers)Dwight J. Kravitz (2 shared papers)Alan Karthikesalingam (2 shared papers)Shekoofeh Azizi (1 shared paper)Fiona Ryan (1 shared paper)Aaron Loh (1 shared paper)
- Journals
- Journal of Vision (3 papers)Journal of Neuroscience (2 papers)Neuropsychopharmacology (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Jan Freyberg
11 papers receiving 723 citations
Jan Freyberg's Hit Papers
Peers
Comparison fields: 5 of 102
- Health Informatics 45
- Cognitive Neuroscience 289
- Radiology, Nuclear Medicine and Imaging 214
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Jan Freyberg
This map shows the geographic impact of Jan Freyberg'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 Jan Freyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Freyberg more than expected).
Fields of papers citing papers by Jan Freyberg
This network shows the impact of papers produced by Jan Freyberg. 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 Jan Freyberg. The network helps show where Jan Freyberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Freyberg, 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 | Big Self-Supervised Models Advance Medical Image Classification Hit paper breakdown → | 2021 | 336 |
| 2 | 2013 | 114 | |
| 3 | 2019 | 101 | |
| 4 | 2013 | 83 | |
| 5 | 2015 | 37 | |
| 6 | 2023 | 36 | |
| 7 | 2023 | 14 | |
| 8 | 2016 | 11 | |
| 9 | 2015 | 5 | |
| 10 | 2017 | 2 | |
| 11 | 2025 | 2 |
About Jan Freyberg
Jan Freyberg is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, Epidemiology and Pharmacology, having authored 11 papers that have together received 741 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (5 papers), Explainable Artificial Intelligence (XAI) (2 papers), Retinal Development and Disorders (2 papers), Visual perception and processing mechanisms (2 papers), Gaze Tracking and Assistive Technology (1 paper), Data Stream Mining Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (45 citations), Cognitive Neuroscience (289 citations), Radiology, Nuclear Medicine and Imaging (214 citations), Artificial Intelligence (230 citations) and Computer Vision and Pattern Recognition (87 citations). Jan Freyberg has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Caroline E. Robertson, Simon Baron‐Cohen, Chris I. Baker, Dwight J. Kravitz, Alan Karthikesalingam, Shekoofeh Azizi, Fiona Ryan, Aaron Loh, Vivek Natarajan and Simon Kornblith. Their work appears in journals such as Journal of Vision, Journal of Neuroscience, Neuropsychopharmacology, Nature Communications and SHILAP Revista de lepidopterología.
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.