Karim Lekadir
- Radiology, Nuclear Medicine and Imaging top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Steffen E. PetersenZahra Raisi‐EstabraghAlejandro F. FrangiPetia RadevaPolyxeni GkontraAhmed SalihVíctor M. CampelloIlaria Boscolo Galazzo
- Topics
- Radiomics and Machine Learning in Medical Imaging (38 papers)Artificial Intelligence in Healthcare and Education (23 papers)Cardiac Imaging and Diagnostics (21 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- SpainUnited KingdomNetherlands
In The Last Decade
Karim Lekadir
113 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Radiology, Nuclear Medicine and Imaging 930
- Cardiology and Cardiovascular Medicine 520
- Biomedical Engineering 483
- Artificial Intelligence 458
- Computer Vision and Pattern Recognition 383
Countries citing papers authored by Karim Lekadir
This map shows the geographic impact of Karim Lekadir'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 Karim Lekadir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karim Lekadir more than expected).
Fields of papers citing papers by Karim Lekadir
This network shows the impact of papers produced by Karim Lekadir. 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 Karim Lekadir. The network helps show where Karim Lekadir may publish in the future.
Co-authorship network of co-authors of Karim Lekadir
This figure shows the co-authorship network connecting the top 25 collaborators of Karim Lekadir. A scholar is included among the top collaborators of Karim Lekadir 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 Karim Lekadir. Karim Lekadir 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 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 27 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 160 | |
| 20 | 39 |
About Karim Lekadir
Karim Lekadir is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computational Mathematics, having authored 123 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (38 papers), Artificial Intelligence in Healthcare and Education (23 papers) and Cardiac Imaging and Diagnostics (21 papers). The work is most often cited by research in Health Informatics (227 citations), Radiology, Nuclear Medicine and Imaging (930 citations) and Cardiology and Cardiovascular Medicine (520 citations). Karim Lekadir has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Steffen E. Petersen, Zahra Raisi‐Estabragh, Alejandro F. Frangi, Petia Radeva, Polyxeni Gkontra, Ahmed Salih, Víctor M. Campello, Ilaria Boscolo Galazzo, Carlos Martín-Isla and Gloria Menegaz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.