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 Michael Isard sits on this spectrum.
This scientist: 136 publications — 21st percentile
21% 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 Michael Isard sits on this spectrum.
This scientist: 68 D-Index — 86th percentile
86% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michael Isard is a researcher affiliated with Google in the United States. Their work primarily focuses on computer science with a specialization in several subfields including artificial intelligence, computer vision and pattern recognition, hardware and architecture, computer networks and communications, and information systems.
The research topics covered by their publications include natural language processing techniques, parallel computing and optimization techniques, topic modeling, multimodal machine learning applications, cloud computing and resource management, graph theory and algorithms, and image retrieval and classification techniques.
Michael Isard has contributed to multiple papers published mainly in the venue arXiv (Cornell University), and also in UNC Libraries and Communications of the ACM. Significant papers include:
Their frequent co-authors include Aakanksha Chowdhery, Paul Barham, Andrew M. Dai, Érica Rodrigues Moreira, and Orhan Fırat. This collaboration suggests a research network centered around advanced machine learning models and distributed computing architectures.
Michael Isard's work explores highly technical dimensions of scalable machine learning systems and multimodal AI, evidenced by their involvement in studies addressing large-scale language models, multimodal understanding, and asynchronous dataflow systems for machine learning.
Martín Abadi;Paul Barham;Jianmin Chen;Zhifeng Chen
Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo
Michael Isard;Andrew Blake
Andrew Blake;Michael Isard
J. Philbin;O. Chum;M. Isard;J. Sivic
Michael Isard;Mihai Budiu;Yuan Yu;Andrew Birrell
Michael Isard;Andrew Blake
Andrew Blake;Michael Isard
J. Philbin;O. Chum;M. Isard;J. Sivic
Michael Isard;Vijayan Prabhakaran;Jon Currey;Udi Wieder
O. Chum;J. Philbin;J. Sivic;M. Isard
Yuan Yu;Michael Isard;Dennis Fetterly;Mihai Budiu
Unknown
Derek G. Murray;Frank McSherry;Rebecca Isaacs;Michael Isard
M. Isard;J. MacCormick
Michael Isard;Andrew Blake
Erik B. Sudderth;Alexander T. Ihler;Michael Isard;William T. Freeman
John MacCormick;Michael Isard
Yunchao Gong;Qifa Ke;Michael Isard;Svetlana Lazebnik
Unknown
L. Sigal;S. Bhatia;S. Roth;M.J. Black
Zhong Wu;Qifa Ke;Michael Isard;Jian Sun
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 67
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