Sonja Jäckle
Impact in
- Biomedical Engineering top 10%
- Optical Coherence Tomography Applications
- Soft Robotics and Applications
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- Augmented Reality Applications
Papers in
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- COVID-19 epidemiological studies 4
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- Soft Robotics and Applications 3
- Optical Coherence Tomography Applications 2
- Co-authors
- Gereon Hüttmann (6 shared papers)N. Soehendra (4 shared papers)Hinnerk Schulz‐Hildebrandt (6 shared papers)Annette Fritscher‐Ravens (3 shared papers)Torben Pätz (5 shared papers)Boris Brand (3 shared papers)Uwe Seitz (3 shared papers)Natalia D. Gladkova (2 shared papers)
In The Last Decade
Sonja Jäckle
18 papers receiving 468 citations
Peers
Comparison fields: 5 of 40
- Biomedical Engineering 214
- Computer Vision and Pattern Recognition 69
- Gastroenterology 19
- Pulmonary and Respiratory Medicine 72
- Oncology 51
Countries citing papers authored by Sonja Jäckle
This map shows the geographic impact of Sonja Jäckle'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 Sonja Jäckle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Jäckle more than expected).
Fields of papers citing papers by Sonja Jäckle
This network shows the impact of papers produced by Sonja Jäckle. 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 Sonja Jäckle. The network helps show where Sonja Jäckle may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Jäckle, 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 | 2000 | 108 | |
| 2 | 2000 | 101 | |
| 3 | 2019 | 90 | |
| 4 | 2018 | 53 | |
| 5 | 2001 | 49 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2021 | 9 | |
| 10 | [Endoscopic argon plasma coagulation of Barrett mucosa]. | 2000 | 7 |
| 11 | 2017 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 1 |
About Sonja Jäckle
Sonja Jäckle is a scholar working on Modeling and Simulation, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Surgery, having authored 18 papers that have together received 485 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (4 papers), Aortic aneurysm repair treatments (4 papers), COVID-19 epidemiological studies (4 papers), Soft Robotics and Applications (3 papers), Data-Driven Disease Surveillance (2 papers), Augmented Reality Applications (2 papers), Optical Coherence Tomography Applications (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biomedical Engineering (214 citations), Computer Vision and Pattern Recognition (69 citations), Gastroenterology (19 citations), Pulmonary and Respiratory Medicine (72 citations) and Oncology (51 citations). Sonja Jäckle has collaborated with scholars based in Germany, Russia and Australia. Frequent co-authors include Gereon Hüttmann, N. Soehendra, Hinnerk Schulz‐Hildebrandt, Annette Fritscher‐Ravens, Torben Pätz, Boris Brand, Uwe Seitz, Natalia D. Gladkova, Felix I. Feldchtein and Grigory V. Gelikonov. Their work appears in journals such as Endoscopy, International Journal of Computer Assisted Radiology and Surgery, Journal of Vascular and Interventional Radiology, International Journal of Environmental Research and Public Health and PLoS ONE.
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.