Danail Stoyanov
- Computer Vision and Pattern Recognition top 0.2%
- Biomedical Engineering top 0.5%
- Surgery top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Aerospace Engineering top 0.5%
- Co-authors
- Guang‐Zhong YangPeter MountneyLaurence LovatSébastien OurselinDaniel S. ElsonMax AllanEvangelos B. MazomenosMatthew J. Clarkson
- Topics
- Surgical Simulation and Training (107 papers)Robotics and Sensor-Based Localization (64 papers)Soft Robotics and Applications (59 papers)
- Journals
- SHILAP Revista de lepidopterologíaEndocrine ReviewsCancer Research
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Danail Stoyanov
316 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 2.7k
- Biomedical Engineering 2.5k
- Surgery 2.3k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Aerospace Engineering 1.2k
Countries citing papers authored by Danail Stoyanov
This map shows the geographic impact of Danail Stoyanov'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 Danail Stoyanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danail Stoyanov more than expected).
Fields of papers citing papers by Danail Stoyanov
This network shows the impact of papers produced by Danail Stoyanov. 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 Danail Stoyanov. The network helps show where Danail Stoyanov may publish in the future.
Co-authorship network of co-authors of Danail Stoyanov
This figure shows the co-authorship network connecting the top 25 collaborators of Danail Stoyanov. A scholar is included among the top collaborators of Danail Stoyanov 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 Danail Stoyanov. Danail Stoyanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 39 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 34 | |
| 15 | 22 | |
| 16 | 9 | |
| 17 | Track-Guided Ultrasound Scanning for Tumour Margins Outlining in Robot-Assisted Partial Nephrectomy | 1 |
| 18 | Gesture Classification in Robotic Surgery using Recurrent Neural Networks with Kinematic Information | 1 |
| 19 | Video motion analysis for objective assessment in catheter-based endovascular intervention | 2 |
| 20 | 12 |
About Danail Stoyanov
Danail Stoyanov is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 338 papers that have together received 7.0k indexed citations. Recurring topics across this work include Surgical Simulation and Training (107 papers), Robotics and Sensor-Based Localization (64 papers) and Soft Robotics and Applications (59 papers). The work is most often cited by research in Health Informatics (408 citations), Computer Vision and Pattern Recognition (2.7k citations) and Biomedical Engineering (2.5k citations). Danail Stoyanov has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Guang‐Zhong Yang, Peter Mountney, Laurence Lovat, Sébastien Ourselin, Daniel S. Elson, Max Allan, Evangelos B. Mazomenos, Matthew J. Clarkson, Lena Maier‐Hein and Anne L. Martel. Their work appears in journals such as SHILAP Revista de lepidopterología, Endocrine Reviews and Cancer Research.
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.