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 John V. Guttag sits on this spectrum.
This scientist: 243 publications — 60th percentile
60% 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 John V. Guttag sits on this spectrum.
This scientist: 71 D-Index — 88th percentile
88% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
John V. Guttag is affiliated with MIT in the United States and has a significant body of work spanning computer science and medicine. Their research includes 38 publications in computer science and 30 in medicine, evidencing an interdisciplinary approach that bridges technical and clinical fields. Key subfields of study include artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, cardiology and cardiovascular medicine, and health informatics.
Their main topics of research encompass multimodal machine learning applications, domain adaptation and few-shot learning, medical image segmentation techniques, advanced neural network applications, COVID-19 diagnosis using AI, artificial intelligence in healthcare and education, and clinical reasoning and diagnostic skills.
Recent papers authored or co-authored by John V. Guttag include:
Frequent co-authors collaborating with Guttag include Adrian V. Dalca, Collin M. Stultz, Aniruddh Raghu, Divya Shanmugam, and Jose Javier Gonzalez Ortiz, highlighting ongoing research partnerships.
The scientist frequently publishes in venues such as arXiv (Cornell University), npj Digital Medicine, The Journal of Machine Learning for Biomedical Imaging, Lecture Notes in Computer Science, and Applied Sciences.
Recognition of their work includes being named an ACM Fellow in 2006 for contributions to algebraic specifications and abstract data types and a Fellow of the American Academy of Arts and Sciences in 2005.
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag
Hao-Yu Wu;Michael Rubinstein;Eugene Shih;John Guttag
John V. Guttag;James J. Horning
Asfandyar Qureshi;Rick Weber;Hari Balakrishnan;John Guttag
D.J. Wetherall;J.V. Guttag;D.L. Tennenhouse
Barbara Liskov;John Guttag
J. V. Guttag;J. J. Horning
Guha Balakrishnan;Fredo Durand;John Guttag
John V. Guttag
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;Adrian V. Dalca
Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag
Naveen Verma;Ali Shoeb;Jose Bohorquez;Joel Dawson
Ali H. Shoeb;John V. Guttag
John V. Guttag;Ellis Horowitz;David R. Musser
A. Shoeb;H. Edwards;J. Connolly;B. Bourgeois
Harini Suresh;John Guttag
John Vogel Guttag
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
J.V. Guttag;J.J. Horning;J.M. Wing
David Evans;John Guttag;James Horning;Yang Meng Tan
Barbara Liskov;John Guttag
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