Celina Imielińska
- Computer Vision and Pattern Recognition top 2%
- Physiology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Co-authors
- Jayaram K. UdupaHilary J. SchmidtYing ZhugeLeanne M. CurrieZiMian WangWei ShenRobert RossSteven B. Heymsfield
- Topics
- Medical Image Segmentation Techniques (18 papers)Surgical Simulation and Training (9 papers)Augmented Reality Applications (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Celina Imielińska
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 419
- Physiology 253
- Radiology, Nuclear Medicine and Imaging 200
- Cardiology and Cardiovascular Medicine 171
- Surgery 140
Countries citing papers authored by Celina Imielińska
This map shows the geographic impact of Celina Imielińska'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 Celina Imielińska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celina Imielińska more than expected).
Fields of papers citing papers by Celina Imielińska
This network shows the impact of papers produced by Celina Imielińska. 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 Celina Imielińska. The network helps show where Celina Imielińska may publish in the future.
Co-authorship network of co-authors of Celina Imielińska
This figure shows the co-authorship network connecting the top 25 collaborators of Celina Imielińska. A scholar is included among the top collaborators of Celina Imielińska 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 Celina Imielińska. Celina Imielińska 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 | 8 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | 23 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 303 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 362 | |
| 19 | 11 | |
| 20 | 24 |
About Celina Imielińska
Celina Imielińska is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Surgical Simulation and Training (9 papers) and Augmented Reality Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (419 citations), Physiology (253 citations) and Radiology, Nuclear Medicine and Imaging (200 citations). Celina Imielińska has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jayaram K. Udupa, Hilary J. Schmidt, Ying Zhuge, Leanne M. Currie, ZiMian Wang, Wei Shen, Robert Ross, Steven B. Heymsfield, John G. Kral and Ahmet Sınav. Their work appears in journals such as Communications of the ACM, IEEE Computer Graphics and Applications and Academic Radiology.
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.