Barbara Carl
Impact in
Papers in
- Surgery 17
- Spinal Fractures and Fixation Techniques 11
- Surgical Simulation and Training 6
-
- Advanced MRI Techniques and Applications 7
- Advanced Neuroimaging Techniques and Applications 6
- Medical Imaging Techniques and Applications 6
- Co-authors
- Christopher Nimsky (46 shared papers)Miriam H. A. Bopp (31 shared papers)Benjamin Saß (16 shared papers)Mirza Pojskić (16 shared papers)Benjamin Voellger (8 shared papers)Jörg W. Bartsch (9 shared papers)M. Bauer (2 shared papers)Uwe Schlomann (5 shared papers)
- Journals
- World Neurosurgery (7 papers)Cancers (2 papers)International Journal of Cancer (2 papers)Journal of Clinical Medicine (2 papers)Acta Neurochirurgica (2 papers)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Barbara Carl
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Genetics 184
- Surgery 478
- Pathology and Forensic Medicine 173
- Neurology 133
- Computer Vision and Pattern Recognition 164
Countries citing papers authored by Barbara Carl
This map shows the geographic impact of Barbara Carl'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 Barbara Carl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Carl more than expected).
Fields of papers citing papers by Barbara Carl
This network shows the impact of papers produced by Barbara Carl. 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 Barbara Carl. The network helps show where Barbara Carl may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Carl, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2016 | 74 | |
| 3 | 2019 | 64 | |
| 4 | 2019 | 55 | |
| 5 | 2020 | 55 | |
| 6 | 2019 | 53 | |
| 7 | 2015 | 52 | |
| 8 | 2019 | 50 | |
| 9 | 2015 | 46 | |
| 10 | 2019 | 45 | |
| 11 | 2017 | 45 | |
| 12 | 2018 | 35 | |
| 13 | 2016 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2019 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2022 | 19 |
About Barbara Carl
Barbara Carl is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Genetics, Neurology and Biomedical Engineering, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Spinal Fractures and Fixation Techniques (11 papers), Advanced MRI Techniques and Applications (7 papers), Surgical Simulation and Training (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (6 papers), Neurological disorders and treatments (5 papers) and Meningioma and schwannoma management (5 papers). The work is most often cited by research in Genetics (184 citations), Surgery (478 citations), Pathology and Forensic Medicine (173 citations), Neurology (133 citations) and Computer Vision and Pattern Recognition (164 citations). Barbara Carl has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Christopher Nimsky, Miriam H. A. Bopp, Benjamin Saß, Mirza Pojskić, Benjamin Voellger, Jörg W. Bartsch, M. Bauer, Uwe Schlomann, Catharina Conrad and Axel Pagenstecher. Their work appears in journals such as World Neurosurgery, Cancers, International Journal of Cancer, Journal of Clinical Medicine and Acta Neurochirurgica.
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.