Christof Bertram
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine
- Small Animals top 2%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Robert KlopfleischMarc AubrevilleKerstin MüllerChristian MarzahlAndreas MaierAlexander BartelTaryn DonovanOlivia Kershaw
- Topics
- Veterinary Oncology Research (21 papers)AI in cancer detection (19 papers)Microbial infections and disease research (9 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Christof Bertram
61 papers receiving 553 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 227
- Pulmonary and Respiratory Medicine 149
- Small Animals 135
- Radiology, Nuclear Medicine and Imaging 106
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Christof Bertram
This map shows the geographic impact of Christof Bertram'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 Christof Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christof Bertram more than expected).
Fields of papers citing papers by Christof Bertram
This network shows the impact of papers produced by Christof Bertram. 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 Christof Bertram. The network helps show where Christof Bertram may publish in the future.
Co-authorship network of co-authors of Christof Bertram
This figure shows the co-authorship network connecting the top 25 collaborators of Christof Bertram. A scholar is included among the top collaborators of Christof Bertram 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 Christof Bertram. Christof Bertram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Field of Interest Prediction for Computer-Aided Mitotic Count. | 1 |
| 17 | 36 | |
| 18 | 24 | |
| 19 | Rete-ovarii-Zyste bei zwei Zwergkaninchen (Oryctolagus cuniculus) | 3 |
| 20 | 7 |
About Christof Bertram
Christof Bertram is a scholar working on Small Animals, Microbiology and Biophysics, having authored 66 papers that have together received 565 indexed citations. Recurring topics across this work include Veterinary Oncology Research (21 papers), AI in cancer detection (19 papers) and Microbial infections and disease research (9 papers). The work is most often cited by research in Small Animals (135 citations), Biophysics (74 citations) and Health Informatics (16 citations). Christof Bertram has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Robert Klopfleisch, Marc Aubreville, Kerstin Müller, Christian Marzahl, Andreas Maier, Alexander Bartel, Taryn Donovan, Olivia Kershaw, Corinne Gurtner and Martina Dettwiler. Their work appears in journals such as Scientific Reports, British Journal of Dermatology and Cells.
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.