The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alejandro F. Frangi sits on this spectrum.
This scientist: 568 publications — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alejandro F. Frangi sits on this spectrum.
This scientist: 72 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Alejandro F. Frangi is affiliated with the University of Manchester in the United Kingdom. Their research output spans multiple publications and contributions in the fields of Medicine and Computer Science, with significant focus on subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Cardiology and Cardiovascular Medicine.
The main topics explored in their work include Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, AI in cancer detection, Advanced MRI Techniques and Applications, Cardiac Imaging and Diagnostics, Advanced Neural Network Applications, and Retinal Imaging and Analysis.
Frequent coauthors of Alejandro F. Frangi include Nishant Ravikumar, Haoran Dou, Yan Xia, Dong Ni, and Baiying Lei.
Publications appear primarily in notable venues such as arXiv (Cornell University), Medical Image Analysis, IEEE Transactions on Medical Imaging, npj Digital Medicine, and Computers in Biology and Medicine.
Recent papers feature the following:
Alejandro F. Frangi has contributed to several books published by Springer Science+Business Media and the European Organization for Nuclear Research. Titles include Information Processing in Medical Imaging (2023), Medical Imaging and Computer-Aided Diagnosis (2023), Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) (2024), and Unlocking the power of computational modelling and simulation across the product lifecycle in life sciences: A UK Landscape Report (2023).
The scientist has been recognized with the SPIE Fellow award in 2020 and the IEEE Fellow award in 2014, the latter awarded for contributions to medical image analysis and image-based computational physiology.
Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever
Jian Yang;D. Zhang;A.F. Frangi;Jing-yu Yang
Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi
Jian Yang;A.F. Frangi;Jing-Yu Yang;David Zhang
A.F. Frangi;W.J. Niessen;M.A. Viergever
B. van Ginneken;A.F. Frangi;J.J. Staal;B.M. ter Haar Romeny
J.R. Cebral;M.A. Castro;S. Appanaboyina;C.M. Putman
D. Rueckert;A.F. Frangi;J.A. Schnabel
A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen
A.F. Frangi;W.J. Niessen;R.M. Hoogeveen;T. van Walsum
Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu
Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur
Peng Peng;Karim Lekadir;Ali Gooya;Ling Shao
Javier Ortega-Garcia;Julian Fierrez;Fernando Alonso-Fernandez;Javier Galbally
Hans C. van Assen;Mikhail G. Danilouchkine;Alejandro F. Frangi;Sebastián Ordás
Lei Mou;Yitian Zhao;Li Chen;Jun Cheng
Jian Yang;Zhong Jin;Jing-yu Yang;David Zhang
Daniel Rueckert;Alejandro F. Frangi;Alejandro F. Frangi;Julia A. Schnabel
Andres Diaz-Pinto;Adrian Colomer;Valery Naranjo;Sandra Morales
C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz
Ehsan Abadi;William P. Segars;Benjamin M. W. Tsui;Paul E. Kinahan
Baba C. Vemuri;James S. Duncan
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 54
French Institute for Research in Computer Science and Automation - INRIA
Publications: 50
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