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 Adrian V. Dalca sits on this spectrum.
This scientist: 184 publications — 40th percentile
40% 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 Adrian V. Dalca sits on this spectrum.
This scientist: 33 D-Index — 13th percentile
13% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Adrian V. Dalca is affiliated with MIT in the United States and is active in the fields of Medicine and Computer Science. Their research intersects multiple subfields, predominantly Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.
The scientist's work covers various advanced topics within medical imaging and neurological studies. Key research areas include Advanced MRI Techniques and Applications, Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Acute Ischemic Stroke Management, Cerebrovascular and Carotid Artery Diseases, Advanced Neuroimaging Techniques and Applications, and Advanced Neural Network Applications.
Dalca has published extensively, with recent papers focusing on brain MRI segmentation, stroke outcomes, and optimization of imaging techniques. Selected publications include:
Dalca frequently collaborates with researchers such as Bruce Fischl, Markus D. Schirmer, Anne-Katrin Giese, Natalia S. Rost, and Polina Golland, reflecting a broad network of co-authorship in medical imaging and computational analysis.
The scientist has contributed book publications with Springer Science+Business Media, including works titled:
Dalca publishes predominantly in venues such as arXiv, bioRxiv, Zenodo, Medical Image Analysis, and NeuroImage, indicating a sustained focus on disseminating research on medical imaging technologies and related computational methods.
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag
Stephen M. Rumble;Phil Lacroute;Adrian V. Dalca;Marc Fiume
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;Adrian V. Dalca
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag
Unknown
Amy Zhao;Guha Balakrishnan;Fredo Durand;John V. Guttag
Adrian V. Dalca;Adrian V. Dalca;Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu
Guha Balakrishnan;Amy Zhao;Adrian V. Dalca;Fredo Durand
Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu
Adrian V. Dalca;Guha Balakrishnan;John Guttag;Mert R. Sabuncu
Benjamin Billot;Martina Bocchetta;Emily Todd;Adrian V. Dalca
Malte Hoffmann;Benjamin Billot;Douglas N. Greve;Juan Eugenio Iglesias
Cagla D. Bahadir;Alan Q. Wang;Adrian V. Dalca;Mert R. Sabuncu
Adrian V. Dalca;John Guttag;Mert R. Sabuncu
Danielle F. Pace;Adrian V. Dalca;Tal Geva;Andrew J. Powell;Andrew J. Powell
Jian Li;William H. Curley;Bastien Guerin;Darin D. Dougherty
Adrian V. Dalca;Michael Brudno
Andrew Hoopes;Malte Hoffmann;Bruce Fischl;John V. Guttag
Adrian V. Dalca;Marianne Rakic;John V. Guttag;Mert R. Sabuncu
Cagla Deniz Bahadir;Adrian V. Dalca;Adrian V. Dalca;Mert R. Sabuncu
Douglas N. Greve;Benjamin Billot;Devani Cordero;Andrew Hoopes
Adrian V. Dalca;Adrian V. Dalca;Evan M. Yu;Polina Golland;Bruce Fischl
Markus D. Schirmer;Markus D. Schirmer;Adrian V. Dalca;Ramesh Sridharan;Anne Katrin Giese
Miaomiao Zhang;Ruizhi Liao;Adrian V. Dalca;Esra A. Turk
Sungmin Hong;Razvan V. Marinescu;Adrian V. Dalca;Anna K. Bonkhoff
Brett Beaulieu-Jones;Samuel G. Finlayson;Corey Chivers;Irene Chen
Benjamin Billot;Douglas N. Greve;Koen Van Leemput;Bruce Fischl
Adrian V. Dalca;Marianne Rakic;John Guttag;Mert R. Sabuncu
Unknown
Amy Zhao;Guha Balakrishnan;Frédo Durand;John V. Guttag
Benjamin Billot;Douglas Greve;Koen Van Leemput;Bruce Fischl
If you think any of the details on this page are incorrect, let us know.
Expanding your options in Computer Science means exploring related online degrees and certifications. Today, students are increasingly choosing flexible, affordable online pathways that cater to both career-changers and working professionals.
Data science continues to be a top career direction. If you’re seeking value, you might wonder what is the cheapest data science course in the us? Affordable programs let you gain high-demand skills without taking on heavy debt.
If your interests lean toward engineering, consider the best online electrical engineering programs USA. These programs offer solid technical foundations and can open doors to roles in tech, energy, and beyond.
Short on time? Many professionals look for the shortest online masters degree to boost credentials fast. Quick yet effective, these degrees help you stay competitive.
Lastly, don’t overlook quick-win certifications. Some certifications that pay well can be completed in weeks or months, offering a smarter route to higher pay and career growth.
Korea University
Texas A&M University
University of Pretoria
University of Bologna
Saint Joseph's University
Southern University and Agricultural and Mechanical College
MIT
University of Hawaii at Manoa
University of Iceland
Ruhr University Bochum
University of the Highlands and Islands
University of Oslo
King's College London
Kagoshima University
University of Bucharest
Commonwealth Scientific and Industrial Research Organisation
