Kaisar Kushibar
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Neurology top 10%
- Co-authors
- Arnau OliverXavier LladóMariano CabezasKarim LekadirAkis LinardosSergi ValverdeJosé BernalPolyxeni Gkontra
- Topics
- AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Medical Image Segmentation Techniques (5 papers)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Kaisar Kushibar
15 papers receiving 483 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 210
- Radiology, Nuclear Medicine and Imaging 200
- Computer Vision and Pattern Recognition 143
- Cognitive Neuroscience 89
- Neurology 89
Countries citing papers authored by Kaisar Kushibar
This map shows the geographic impact of Kaisar Kushibar'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 Kaisar Kushibar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaisar Kushibar more than expected).
Fields of papers citing papers by Kaisar Kushibar
This network shows the impact of papers produced by Kaisar Kushibar. 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 Kaisar Kushibar. The network helps show where Kaisar Kushibar may publish in the future.
Co-authorship network of co-authors of Kaisar Kushibar
This figure shows the co-authorship network connecting the top 25 collaborators of Kaisar Kushibar. A scholar is included among the top collaborators of Kaisar Kushibar 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 Kaisar Kushibar. Kaisar Kushibar 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 | 16 | |
| 3 | 14 | |
| 4 | 66 | |
| 5 | 41 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. | 8 |
| 10 | 78 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 86 | |
| 14 | 29 | |
| 15 | 30 | |
| 16 | 84 |
About Kaisar Kushibar
Kaisar Kushibar is a scholar working on Health Informatics, Neurology and Biophysics, having authored 16 papers that have together received 497 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Health Informatics (63 citations), Neurology (89 citations) and Radiology, Nuclear Medicine and Imaging (200 citations). Kaisar Kushibar has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Arnau Oliver, Xavier Lladó, Mariano Cabezas, Karim Lekadir, Akis Linardos, Sergi Valverde, José Bernal, Polyxeni Gkontra, Oliver Díaz and Sandra González-Villà. Their work appears in journals such as Scientific Reports, IEEE Access and Frontiers in Neuroscience.
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.