Christoph Schuhmann
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mitchell WortsmanGabriel IlharcoJenia JitsevLudwig SchmidtRomain BeaumontRoss WightmanMehdi ChertiHae‐Young Sohn
- Topics
- Cardiac Arrhythmias and Treatments (3 papers)Cardiac pacing and defibrillation studies (2 papers)Atrial Fibrillation Management and Outcomes (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionTransplantationCardiology and Cardiovascular Medicine
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Christoph Schuhmann
15 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 90
- Cardiology and Cardiovascular Medicine 82
- Surgery 44
- Radiology, Nuclear Medicine and Imaging 36
Countries citing papers authored by Christoph Schuhmann
This map shows the geographic impact of Christoph Schuhmann'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 Christoph Schuhmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Schuhmann more than expected).
Fields of papers citing papers by Christoph Schuhmann
This network shows the impact of papers produced by Christoph Schuhmann. 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 Christoph Schuhmann. The network helps show where Christoph Schuhmann may publish in the future.
Co-authorship network of co-authors of Christoph Schuhmann
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Schuhmann. A scholar is included among the top collaborators of Christoph Schuhmann 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 Christoph Schuhmann. Christoph Schuhmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Reproducible Scaling Laws for Contrastive Language-Image Learningbreakdown → | 213 |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 49 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 53 | |
| 13 | [Diagnosis methods in Sjögren's syndrome (author's transl)]. | 3 |
| 14 | [Several cases of primary or recurrent mandibular ameloblastomas treated by surgical curettage]. | 2 |
| 15 | [Sinusal metastasis from a thyroid epithelioma]. | 4 |
About Christoph Schuhmann
Christoph Schuhmann is a scholar working on Transplantation, Physiology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 412 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (3 papers), Cardiac pacing and defibrillation studies (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Transplantation (11 citations) and Cardiology and Cardiovascular Medicine (82 citations). Christoph Schuhmann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Mitchell Wortsman, Gabriel Ilharco, Jenia Jitsev, Ludwig Schmidt, Romain Beaumont, Ross Wightman, Mehdi Cherti, Hae‐Young Sohn, Florian Krötz and Stefan Kääb. Their work appears in journals such as Hypertension, BioMed Research International and Cytometry Part A.
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.